{"id":320976,"date":"2025-12-04T19:33:27","date_gmt":"2025-12-04T20:33:27","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/supercourse-0000015958\/"},"modified":"2025-12-21T09:19:34","modified_gmt":"2025-12-21T10:19:34","slug":"supercourse-0000015958","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/supercourse-0000015958\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 (Object Detection) \u0628\u0627 CNN"},"content":{"rendered":"
\n

\ud83c\udf93 \u062f\u0648\u0631\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u062c\u0627\u0645\u0639<\/h2>\n<\/p><\/div>\n
\n

\ud83d\udcda \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u062f\u0648\u0631\u0647<\/h3>\n

\u0639\u0646\u0648\u0627\u0646 \u062f\u0648\u0631\u0647:<\/strong> \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 (Object Detection) \u0628\u0627 CNN<\/p>\n

\u0645\u0648\u0636\u0648\u0639 \u06a9\u0644\u06cc:<\/strong> \u0628\u0631\u0646\u0627\u0645\u0647 \u0646\u0648\u06cc\u0633\u06cc<\/p>\n

\u0645\u0648\u0636\u0648\u0639 \u0645\u06cc\u0627\u0646\u06cc:<\/strong> \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 (Deep Learning)<\/p>\n<\/div>\n

\n

\ud83d\udccb \u0633\u0631\u0641\u0635\u0644\u200c\u0647\u0627\u06cc \u062f\u0648\u0631\u0647 (100 \u0645\u0648\u0636\u0648\u0639)<\/h3>\n
    \n
  • \n 1.<\/span> \u0645\u0642\u062f\u0645\u0647\u200c\u0627\u06cc \u0628\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642\n <\/li>\n
  • \n 2.<\/span> \u0645\u0642\u062f\u0645\u0647\u200c\u0627\u06cc \u0628\u0631 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621\n <\/li>\n
  • \n 3.<\/span> \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627 \u0648 \u0627\u0647\u0645\u06cc\u062a \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621\n <\/li>\n
  • \n 4.<\/span> \u0646\u06cc\u0627\u0632 \u0628\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u062f\u0631 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621\n <\/li>\n
  • \n 5.<\/span> \u0622\u0634\u0646\u0627\u06cc\u06cc \u0628\u0627 \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646\u0627\u0644 (CNN)\n <\/li>\n
  • \n 6.<\/span> \u0645\u0628\u0627\u0646\u06cc \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc\n <\/li>\n
  • \n 7.<\/span> \u0633\u0644\u0648\u0644\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc (Perceptrons)\n <\/li>\n
  • \n 8.<\/span> \u062a\u0648\u0627\u0628\u0639 \u0641\u0639\u0627\u0644\u200c\u0633\u0627\u0632\u06cc (Activation Functions)\n <\/li>\n
  • \n 9.<\/span> \u0644\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646 (Convolutional Layers)\n <\/li>\n
  • \n 10.<\/span> \u0641\u06cc\u0644\u062a\u0631\u0647\u0627 \u0648 \u06a9\u0631\u0646\u0644\u200c\u0647\u0627 (Filters and Kernels)\n <\/li>\n
  • \n 11.<\/span> \u0639\u0645\u0644\u06a9\u0631\u062f \u0644\u0627\u06cc\u0647 \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646\n <\/li>\n
  • \n 12.<\/span> \u0644\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc Pooling (Subsampling Layers)\n <\/li>\n
  • \n 13.<\/span> \u0627\u0646\u0648\u0627\u0639 \u0644\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc Pooling\n <\/li>\n
  • \n 14.<\/span> \u0639\u0645\u0644\u06a9\u0631\u062f \u0644\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc Pooling\n <\/li>\n
  • \n 15.<\/span> \u0644\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc Fully Connected (Dense Layers)\n <\/li>\n
  • \n 16.<\/span> \u0622\u0645\u0648\u0632\u0634 \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc\n <\/li>\n
  • \n 17.<\/span> \u062a\u0627\u0628\u0639 \u0647\u0632\u06cc\u0646\u0647 (Loss Function)\n <\/li>\n
  • \n 18.<\/span> \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u0647\u0627 (Optimizers)\n <\/li>\n
  • \n 19.<\/span> \u06af\u0631\u0627\u062f\u06cc\u0627\u0646 \u06a9\u0627\u0647\u0634\u06cc (Gradient Descent)\n <\/li>\n
  • \n 20.<\/span> \u067e\u0633\u200c\u0627\u0646\u062a\u0634\u0627\u0631 (Backpropagation)\n <\/li>\n
  • \n 21.<\/span> \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u062f\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642\n <\/li>\n
  • \n 22.<\/span> \u0641\u0631\u0645\u062a \u062f\u0627\u062f\u0647\u200c\u0647\u0627 (Images)\n <\/li>\n
  • \n 23.<\/span> \u067e\u06cc\u0634\u200c\u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 (Data Preprocessing)\n <\/li>\n
  • \n 24.<\/span> \u062a\u0642\u0633\u06cc\u0645 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 (Data Splitting)\n <\/li>\n
  • \n 25.<\/span> \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 (Data Augmentation)\n <\/li>\n
  • \n 26.<\/span> \u0645\u0639\u0645\u0627\u0631\u06cc\u200c\u0647\u0627\u06cc \u0627\u0648\u0644\u06cc\u0647 CNN\n <\/li>\n
  • \n 27.<\/span> LeNet-5\n <\/li>\n
  • \n 28.<\/span> AlexNet\n <\/li>\n
  • \n 29.<\/span> VGGNet\n <\/li>\n
  • \n 30.<\/span> GoogLeNet (Inception)\n <\/li>\n
  • \n 31.<\/span> ResNet\n <\/li>\n
  • \n 32.<\/span> \u0645\u0641\u0627\u0647\u06cc\u0645 \u0627\u0633\u0627\u0633\u06cc \u062f\u0631 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621\n <\/li>\n
  • \n 33.<\/span> \u062c\u0639\u0628\u0647 \u0627\u062d\u0627\u0637\u0647\u200c\u06a9\u0646\u0646\u062f\u0647 (Bounding Box)\n <\/li>\n
  • \n 34.<\/span> \u0628\u0631\u0686\u0633\u0628\u200c\u06af\u0630\u0627\u0631\u06cc (Labeling)\n <\/li>\n
  • \n 35.<\/span> \u062f\u0642\u062a (Precision)\n <\/li>\n
  • \n 36.<\/span> \u0628\u0627\u0632\u06cc\u0627\u0628\u06cc (Recall)\n <\/li>\n
  • \n 37.<\/span> \u0627\u0645\u062a\u06cc\u0627\u0632 F1 (F1-Score)\n <\/li>\n
  • \n 38.<\/span> \u0645\u062a\u0631\u06cc\u06a9\u200c\u0647\u0627\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u062f\u0631 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621\n <\/li>\n
  • \n 39.<\/span> \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u062f\u0642\u062a \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 (mAP – mean Average Precision)\n <\/li>\n
  • \n 40.<\/span> IoU (Intersection over Union)\n <\/li>\n
  • \n 41.<\/span> \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u067e\u0627\u06cc\u0647 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621\n <\/li>\n
  • \n 42.<\/span> \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u062c\u0633\u062a\u062c\u0648 (Sliding Window)\n <\/li>\n
  • \n 43.<\/span> \u0646\u0642\u0627\u0637 \u06a9\u0644\u06cc\u062f\u06cc (Keypoints)\n <\/li>\n
  • \n 44.<\/span> \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u0645\u062d\u0644\u06cc (Local Features)\n <\/li>\n
  • \n 45.<\/span> \u0645\u0639\u0631\u0641\u06cc \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642\n <\/li>\n
  • \n 46.<\/span> \u0646\u06cc\u0627\u0632 \u0628\u0647 \u0631\u0648\u06cc\u06a9\u0631\u062f\u0647\u0627\u06cc \u062c\u062f\u06cc\u062f\n <\/li>\n
  • \n 47.<\/span> \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621\n <\/li>\n
  • \n 48.<\/span> \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u062f\u0648 \u0645\u0631\u062d\u0644\u0647\u200c\u0627\u06cc (Two-Stage Detectors)\n <\/li>\n
  • \n 49.<\/span> \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u062a\u06a9 \u0645\u0631\u062d\u0644\u0647\u200c\u0627\u06cc (One-Stage Detectors)\n <\/li>\n
  • \n 50.<\/span> \u0645\u0639\u0645\u0627\u0631\u06cc\u200c\u0647\u0627\u06cc \u062f\u0648 \u0645\u0631\u062d\u0644\u0647\u200c\u0627\u06cc\n <\/li>\n
  • \n 51.<\/span> Region Proposal Networks (RPN)\n <\/li>\n
  • \n 52.<\/span> Faster R-CNN\n <\/li>\n
  • \n 53.<\/span> Mask R-CNN\n <\/li>\n
  • \n 54.<\/span> \u0645\u0632\u0627\u06cc\u0627 \u0648 \u0645\u0639\u0627\u06cc\u0628 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u062f\u0648 \u0645\u0631\u062d\u0644\u0647\u200c\u0627\u06cc\n <\/li>\n
  • \n 55.<\/span> \u0645\u0639\u0645\u0627\u0631\u06cc\u200c\u0647\u0627\u06cc \u062a\u06a9 \u0645\u0631\u062d\u0644\u0647\u200c\u0627\u06cc\n <\/li>\n
  • \n 56.<\/span> YOLO (You Only Look Once) – \u0646\u0633\u062e\u0647\u200c\u0647\u0627\u06cc \u0627\u0648\u0644\u06cc\u0647\n <\/li>\n
  • \n 57.<\/span> SSD (Single Shot MultiBox Detector)\n <\/li>\n
  • \n 58.<\/span> RetinaNet\n <\/li>\n
  • \n 59.<\/span> \u0645\u0632\u0627\u06cc\u0627 \u0648 \u0645\u0639\u0627\u06cc\u0628 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u062a\u06a9 \u0645\u0631\u062d\u0644\u0647\u200c\u0627\u06cc\n <\/li>\n
  • \n 60.<\/span> \u062c\u0632\u0626\u06cc\u0627\u062a \u0645\u0639\u0645\u0627\u0631\u06cc YOLO (\u0646\u0633\u062e\u0647 \u0627\u0648\u0644)\n <\/li>\n
  • \n 61.<\/span> \u062a\u0642\u0633\u06cc\u0645 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0647 \u06af\u0631\u06cc\u062f (Grid)\n <\/li>\n
  • \n 62.<\/span> \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u062c\u0639\u0628\u0647 \u0627\u062d\u0627\u0637\u0647\u200c\u06a9\u0646\u0646\u062f\u0647 \u0648 \u0627\u062d\u062a\u0645\u0627\u0644 \u06a9\u0644\u0627\u0633\n <\/li>\n
  • \n 63.<\/span> \u0634\u0628\u06a9\u0647 YOLOv2 (YOLO9000)\n <\/li>\n
  • \n 64.<\/span> \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0642\u062a \u0648 \u0633\u0631\u0639\u062a\n <\/li>\n
  • \n 65.<\/span> Batch Normalization\n <\/li>\n
  • \n 66.<\/span> Anchor Boxes\n <\/li>\n
  • \n 67.<\/span> \u0634\u0628\u06a9\u0647 YOLOv3\n <\/li>\n
  • \n 68.<\/span> \u0628\u0647\u0628\u0648\u062f \u062f\u0631 \u0634\u0628\u06a9\u0647\u200c\u0633\u0627\u0632\u06cc \u0648 \u062f\u0642\u062a\n <\/li>\n
  • \n 69.<\/span> Multi-scale prediction\n <\/li>\n
  • \n 70.<\/span> Deeper backbone\n <\/li>\n
  • \n 71.<\/span> \u0634\u0628\u06a9\u0647 YOLOv4\n <\/li>\n
  • \n 72.<\/span> \u062a\u0631\u06a9\u06cc\u0628 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u0647\u0627 \u0648 \u0627\u0641\u0632\u0648\u0646\u0647\u200c\u0647\u0627\u06cc \u062c\u062f\u06cc\u062f\n <\/li>\n
  • \n 73.<\/span> Bag of Freebies (BoF)\n <\/li>\n
  • \n 74.<\/span> Bag of Specials (BoS)\n <\/li>\n
  • \n 75.<\/span> \u0634\u0628\u06a9\u0647 YOLOv5\n <\/li>\n
  • \n 76.<\/span> \u062a\u063a\u06cc\u06cc\u0631\u0627\u062a \u062f\u0631 \u0645\u0639\u0645\u0627\u0631\u06cc \u0648 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc\n <\/li>\n
  • \n 77.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 PyTorch\n <\/li>\n
  • \n 78.<\/span> \u0633\u0627\u06cc\u0631 \u0645\u0639\u0645\u0627\u0631\u06cc\u200c\u0647\u0627\u06cc YOLO (YOLOv6, YOLOv7, …)\n <\/li>\n
  • \n 79.<\/span> \u0645\u0639\u0631\u0641\u06cc SSD\n <\/li>\n
  • \n 80.<\/span> \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u062c\u0639\u0628\u0647 \u0627\u062d\u0627\u0637\u0647\u200c\u06a9\u0646\u0646\u062f\u0647 \u062f\u0631 \u0644\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\n <\/li>\n
  • \n 81.<\/span> Anchor boxes \u062f\u0631 SSD\n <\/li>\n
  • \n 82.<\/span> \u0645\u0632\u0627\u06cc\u0627 \u0648 \u0645\u0639\u0627\u06cc\u0628 SSD\n <\/li>\n
  • \n 83.<\/span> \u0645\u0639\u0631\u0641\u06cc RetinaNet\n <\/li>\n
  • \n 84.<\/span> \u0645\u0634\u06a9\u0644 \u0639\u062f\u0645 \u062a\u0648\u0627\u0632\u0646 \u06a9\u0644\u0627\u0633\u200c\u0647\u0627 (Class Imbalance)\n <\/li>\n
  • \n 85.<\/span> Focal Loss\n <\/li>\n
  • \n 86.<\/span> \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc Focal Loss\n <\/li>\n
  • \n 87.<\/span> \u0645\u0632\u0627\u06cc\u0627 \u0648 \u0645\u0639\u0627\u06cc\u0628 RetinaNet\n <\/li>\n
  • \n 88.<\/span> \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0627\u0634\u06cc\u0627\u0621 \u0628\u0627 \u062f\u0642\u062a \u0628\u0627\u0644\u0627\n <\/li>\n
  • \n 89.<\/span> Objectness Score\n <\/li>\n
  • \n 90.<\/span> Non-Maximum Suppression (NMS)\n <\/li>\n
  • \n 91.<\/span> \u06a9\u0627\u0631\u0628\u0631\u062f NMS \u062f\u0631 \u062d\u0630\u0641 \u062c\u0639\u0628\u0647\u200c\u0647\u0627\u06cc \u0627\u0636\u0627\u0641\u06cc\n <\/li>\n
  • \n 92.<\/span> \u062a\u0646\u0638\u06cc\u0645 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc NMS\n <\/li>\n
  • \n 93.<\/span> \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621\n <\/li>\n
  • \n 94.<\/span> \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u0639\u0645\u0627\u0631\u06cc \u0645\u0646\u0627\u0633\u0628\n <\/li>\n
  • \n 95.<\/span> \u062a\u0646\u0638\u06cc\u0645 \u0647\u0627\u06cc\u067e\u0631\u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 (Hyperparameters)\n <\/li>\n
  • \n 96.<\/span> \u0646\u0631\u062e \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc (Learning Rate)\n <\/li>\n
  • \n 97.<\/span> \u0627\u0646\u062f\u0627\u0632\u0647 \u0628\u0686 (Batch Size)\n <\/li>\n
  • \n 98.<\/span> \u062a\u0646\u0638\u06cc\u0645\u0627\u062a \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\n <\/li>\n
  • \n 99.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc Regularization\n <\/li>\n
  • \n 100.<\/span> Dropout\n <\/li>\n<\/ul>\n<\/div>\n

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    \n
    \n
    \n
    \n \u062f\u0648\u0631\u0647 \u062c\u0627\u0645\u0639 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 (Object Detection) \u0628\u0627 CNN – \u0645\u0633\u06cc\u0631 \u0634\u0645\u0627 \u0628\u0647 \u0633\u0648\u06cc \u062a\u0633\u0644\u0637 \u0628\u0631 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646<\/title><br \/>\n <meta name=\"description\" content=\"\u0628\u0627 \u062f\u0648\u0631\u0647 \u062c\u0627\u0645\u0639 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0627 CNN\u060c \u062a\u0633\u0644\u0637 \u06a9\u0627\u0645\u0644 \u0628\u0631 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0645\u0627\u0646\u0646\u062f YOLO \u0648 R-CNN \u0631\u0627 \u062a\u062c\u0631\u0628\u0647 \u06a9\u0646\u06cc\u062f. \u0645\u0633\u06cc\u0631 \u0634\u063a\u0644\u06cc \u062e\u0648\u062f \u0631\u0627 \u062f\u0631 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0648 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0627\u0631\u062a\u0642\u0627 \u062f\u0647\u06cc\u062f.\"><\/p>\n<style>\n body { font-family: 'Tahoma', 'Arial', sans-serif; line-height: 1.8; color: #333; margin: 20px; background-color: #f9f9f9; }\n h1, h2, h3 { color: #0056b3; margin-top: 30px; margin-bottom: 15px; }\n h1 { font-size: 2.2em; text-align: center; border-bottom: 2px solid #0056b3; padding-bottom: 10px; }\n h2 { font-size: 1.8em; border-bottom: 1px solid #eee; padding-bottom: 8px; }\n h3 { font-size: 1.4em; color: #007bff; }\n p { margin-bottom: 15px; text-align: justify; }\n ul { list-style: disc inside; margin-bottom: 15px; padding-right: 20px; }\n ul li { margin-bottom: 8px; }\n ul ul { list-style: circle inside; margin-top: 5px; margin-bottom: 5px; padding-right: 20px;}\n strong { color: #d9534f; }\n a { text-decoration: none; color: #007bff; }\n a:hover { text-decoration: underline; }\n <\/style>\n<p><\/head><br \/>\n<body><\/p>\n<h1>\u062f\u0648\u0631\u0647 \u062c\u0627\u0645\u0639 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 (Object Detection) \u0628\u0627 CNN: \u062a\u0633\u0644\u0637 \u0628\u0631 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc<\/h1>\n<h2><a id=\"\u0645\u0639\u0631\u0641\u06cc-\u062f\u0648\u0631\u0647\"><\/a>\u0627\u0646\u0642\u0644\u0627\u0628\u06cc \u062f\u0631 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646: \u0628\u0627 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621\u060c \u062f\u0646\u06cc\u0627 \u0631\u0627 \u0628\u0647 \u0631\u0627\u06cc\u0627\u0646\u0647\u200c\u0647\u0627 \u0628\u06cc\u0627\u0645\u0648\u0632\u06cc\u062f!<\/h2>\n<p>\u0622\u06cc\u0627 \u062a\u0627 \u0628\u0647 \u062d\u0627\u0644 \u0628\u0647 \u0627\u06cc\u0646 \u0641\u06a9\u0631 \u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u062f\u0646\u06cc\u0627 \u0631\u0627 \u0647\u0645\u0627\u0646\u0646\u062f \u0627\u0646\u0633\u0627\u0646\u200c\u0647\u0627 “\u0628\u0628\u06cc\u0646\u062f” \u0648 \u062f\u0631\u06a9 \u06a9\u0646\u062f\u061f \u0686\u06af\u0648\u0646\u0647 \u06cc\u06a9 \u062e\u0648\u062f\u0631\u0648\u06cc \u062e\u0648\u062f\u0631\u0627\u0646\u060c \u0639\u0627\u0628\u0631\u0627\u0646 \u067e\u06cc\u0627\u062f\u0647\u060c \u0686\u0631\u0627\u063a \u0631\u0627\u0647\u0646\u0645\u0627\u06cc\u06cc \u0648 \u0633\u0627\u06cc\u0631 \u062e\u0648\u062f\u0631\u0648\u0647\u0627 \u0631\u0627 \u062f\u0631 \u0644\u062d\u0638\u0647 \u062a\u0634\u062e\u06cc\u0635 \u0645\u06cc\u200c\u062f\u0647\u062f\u061f \u06cc\u0627 \u0686\u06af\u0648\u0646\u0647 \u06cc\u06a9 \u0633\u06cc\u0633\u062a\u0645 \u0627\u0645\u0646\u06cc\u062a\u06cc \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u0686\u0647\u0631\u0647\u200c\u0647\u0627\u06cc \u0645\u0634\u06a9\u0648\u06a9 \u0631\u0627 \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u06a9\u0646\u062f\u061f \u067e\u0627\u0633\u062e \u062f\u0631 \u0642\u0644\u0628 \u06cc\u06a9\u06cc \u0627\u0632 \u0647\u06cc\u062c\u0627\u0646\u200c\u0627\u0646\u06af\u06cc\u0632\u062a\u0631\u06cc\u0646 \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc\u200c\u062a\u0631\u06cc\u0646 \u0634\u0627\u062e\u0647\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0646\u0647\u0641\u062a\u0647 \u0627\u0633\u062a: <strong>\u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 (Object Detection)<\/strong>.<\/p>\n<p>\u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621\u060c \u0646\u0647 \u062a\u0646\u0647\u0627 \u0627\u0645\u06a9\u0627\u0646 \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0648 \u0645\u06a9\u0627\u0646\u200c\u06cc\u0627\u0628\u06cc \u062f\u0642\u06cc\u0642 \u0627\u0634\u06cc\u0627\u0621 \u0645\u062e\u062a\u0644\u0641 \u062f\u0631 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0648 \u0648\u06cc\u062f\u0626\u0648\u0647\u0627 \u0631\u0627 \u0641\u0631\u0627\u0647\u0645 \u0645\u06cc\u200c\u06a9\u0646\u062f\u060c \u0628\u0644\u06a9\u0647 \u062f\u0631\u06cc\u0686\u0647\u200c\u0627\u06cc \u0628\u0647 \u0633\u0648\u06cc \u0646\u0633\u0644 \u062c\u062f\u06cc\u062f\u06cc \u0627\u0632 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u062f\u0631 \u0635\u0646\u0627\u06cc\u0639 \u06af\u0648\u0646\u0627\u06af\u0648\u0646 \u0628\u0627\u0632 \u06a9\u0631\u062f\u0647 \u0627\u0633\u062a. \u0627\u0632 \u067e\u0632\u0634\u06a9\u06cc \u0648 \u0631\u0628\u0627\u062a\u06cc\u06a9 \u06af\u0631\u0641\u062a\u0647 \u062a\u0627 \u062e\u0631\u062f\u0647\u200c\u0641\u0631\u0648\u0634\u06cc \u0648 \u06a9\u0634\u0627\u0648\u0631\u0632\u06cc \u0647\u0648\u0634\u0645\u0646\u062f\u060c \u0627\u06cc\u0646 \u062a\u06a9\u0646\u0648\u0644\u0648\u0698\u06cc \u062f\u0631 \u062d\u0627\u0644 \u062a\u063a\u06cc\u06cc\u0631 \u0634\u06a9\u0644 \u062f\u0646\u06cc\u0627\u06cc \u067e\u06cc\u0631\u0627\u0645\u0648\u0646 \u0645\u0627\u0633\u062a \u0648 \u062a\u0642\u0627\u0636\u0627 \u0628\u0631\u0627\u06cc \u0645\u062a\u062e\u0635\u0635\u0627\u0646 \u0622\u0646 \u0631\u0648\u0632 \u0628\u0647 \u0631\u0648\u0632 \u062f\u0631 \u062d\u0627\u0644 \u0627\u0641\u0632\u0627\u06cc\u0634 \u0627\u0633\u062a.<\/p>\n<p>\u062f\u0648\u0631\u0647 “\u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0627 CNN” \u062f\u0631\u0648\u0627\u0632\u0647 \u0634\u0645\u0627 \u0628\u0647 \u0633\u0648\u06cc \u062a\u0633\u0644\u0637 \u0628\u0631 \u0627\u06cc\u0646 \u062d\u0648\u0632\u0647 \u067e\u0631\u062a\u0642\u0627\u0636\u0627 \u0627\u0633\u062a. \u0628\u0627 \u0634\u0631\u06a9\u062a \u062f\u0631 \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647\u060c \u0646\u0647 \u062a\u0646\u0647\u0627 \u0628\u0627 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0646\u0638\u0631\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0622\u0634\u0646\u0627 \u0645\u06cc\u200c\u0634\u0648\u06cc\u062f\u060c \u0628\u0644\u06a9\u0647 \u0628\u0627 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0648 \u0648\u0627\u0642\u0639\u06cc\u060c \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0642\u062f\u0631\u062a\u0645\u0646\u062f\u062a\u0631\u06cc\u0646 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0631 \u067e\u0627\u06cc\u0647 \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u067e\u06cc\u0686\u0634\u06cc (Convolutional Neural Networks – CNN) \u0631\u0627 \u06a9\u0633\u0628 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f. \u0622\u0645\u0627\u062f\u0647\u200c\u0627\u06cc\u062f \u062a\u0627 \u0622\u06cc\u0646\u062f\u0647 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0631\u0627 \u0628\u0633\u0627\u0632\u06cc\u062f\u061f<\/p>\n<h2><a id=\"\u062f\u0631\u0628\u0627\u0631\u0647-\u062f\u0648\u0631\u0647\"><\/a>\u062f\u0631\u0628\u0627\u0631\u0647 \u062f\u0648\u0631\u0647 “\u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0627 CNN”: \u0627\u0632 \u062a\u0626\u0648\u0631\u06cc \u062a\u0627 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0639\u0645\u0644\u06cc<\/h2>\n<p>\u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u062c\u0627\u0645\u0639\u060c \u0628\u0647 \u06af\u0648\u0646\u0647\u200c\u0627\u06cc \u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0634\u0645\u0627 \u0631\u0627 \u0627\u0632 \u0645\u0628\u0627\u0646\u06cc \u0627\u0648\u0644\u06cc\u0647 \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u067e\u06cc\u0686\u0634\u06cc (CNN) \u062a\u0627 \u067e\u06cc\u0634\u0631\u0641\u062a\u0647\u200c\u062a\u0631\u06cc\u0646 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0645\u0627\u0646\u0646\u062f <strong>YOLO (You Only Look Once)<\/strong>\u060c <strong>SSD (Single Shot MultiBox Detector)<\/strong> \u0648 \u062e\u0627\u0646\u0648\u0627\u062f\u0647 <strong>R-CNN<\/strong>\u060c \u0647\u062f\u0627\u06cc\u062a \u06a9\u0646\u062f. \u062a\u0645\u0631\u06a9\u0632 \u0627\u0635\u0644\u06cc \u0645\u0627 \u0628\u0631 \u0622\u0645\u0648\u0632\u0634 \u0639\u0645\u0644\u06cc \u0648 \u067e\u0631\u0648\u0698\u0647\u200c\u0645\u062d\u0648\u0631 \u0627\u0633\u062a \u062a\u0627 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u062d\u0627\u0635\u0644 \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0634\u0645\u0627 \u067e\u0633 \u0627\u0632 \u0627\u062a\u0645\u0627\u0645 \u062f\u0648\u0631\u0647\u060c \u0642\u0627\u062f\u0631 \u0628\u0647 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0648 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0631\u0627\u06cc \u062d\u0644 \u0645\u0633\u0627\u0626\u0644 \u0648\u0627\u0642\u0639\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0628\u0648\u062f.<\/p>\n<p>\u0634\u0645\u0627 \u062f\u0631 \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0627 \u062a\u0645\u0627\u0645\u06cc \u0645\u0631\u0627\u062d\u0644 \u06cc\u06a9 \u067e\u0631\u0648\u0698\u0647 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621\u060c \u0627\u0632 \u0622\u0645\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0648 \u062d\u0627\u0634\u06cc\u0647\u200c\u0646\u0648\u06cc\u0633\u06cc (Annotation) \u06af\u0631\u0641\u062a\u0647 \u062a\u0627 \u0622\u0645\u0648\u0632\u0634\u060c \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0648 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0645\u062f\u0644\u060c \u0622\u0634\u0646\u0627 \u062e\u0648\u0627\u0647\u06cc\u062f \u0634\u062f. \u0645\u0627 \u0628\u0647 \u0634\u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 \u062a\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647\u200c\u0647\u0627\u06cc \u0642\u062f\u0631\u062a\u0645\u0646\u062f \u067e\u0627\u06cc\u062a\u0648\u0646 \u0645\u0627\u0646\u0646\u062f TensorFlow \u0648 PyTorch\u060c \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc “\u062f\u06cc\u062f\u0646” \u0648 \u062f\u0631\u06a9 \u062c\u0647\u0627\u0646 \u067e\u06cc\u0631\u0627\u0645\u0648\u0646 \u0622\u0645\u0648\u0632\u0634 \u062f\u0647\u06cc\u062f \u0648 \u0631\u0627\u0647\u06a9\u0627\u0631\u0647\u0627\u06cc \u0646\u0648\u0622\u0648\u0631\u0627\u0646\u0647\u200c\u0627\u06cc \u0627\u0631\u0627\u0626\u0647 \u062f\u0647\u06cc\u062f. \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647\u060c \u067e\u0644\u06cc \u0627\u0633\u062a \u0645\u06cc\u0627\u0646 \u062f\u0627\u0646\u0634 \u0646\u0638\u0631\u06cc \u0648 \u0646\u06cc\u0627\u0632\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0635\u0646\u0639\u062a!<\/p>\n<h2><a id=\"\u0645\u0648\u0636\u0648\u0639\u0627\u062a-\u06a9\u0644\u06cc\u062f\u06cc\"><\/a>\u0645\u0648\u0636\u0648\u0639\u0627\u062a \u06a9\u0644\u06cc\u062f\u06cc \u0648 \u0645\u0628\u0627\u062d\u062b \u0627\u0635\u0644\u06cc \u062f\u0648\u0631\u0647: \u0627\u0632 CNN \u062a\u0627 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u0645\u062f\u0631\u0646<\/h2>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647\u060c \u0634\u0645\u0627 \u0628\u0627 \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0627\u06cc \u0627\u0632 \u0645\u0648\u0636\u0648\u0639\u0627\u062a \u0628\u0646\u06cc\u0627\u062f\u06cc \u0648 \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u062f\u0631 \u062d\u0648\u0632\u0647 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0622\u0634\u0646\u0627 \u062e\u0648\u0627\u0647\u06cc\u062f \u0634\u062f \u06a9\u0647 \u0628\u0647 \u0634\u0645\u0627 \u0627\u0645\u06a9\u0627\u0646 \u0645\u06cc\u200c\u062f\u0647\u062f \u062a\u0627 \u062f\u0631 \u062e\u0637 \u0645\u0642\u062f\u0645 \u0627\u06cc\u0646 \u062a\u06a9\u0646\u0648\u0644\u0648\u0698\u06cc \u0642\u0631\u0627\u0631 \u0628\u06af\u06cc\u0631\u06cc\u062f:<\/p>\n<ul>\n<li>\u0645\u0642\u062f\u0645\u0647\u200c\u0627\u06cc \u0628\u0631 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646\u060c \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627 \u0648 \u0646\u0642\u0634 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u062f\u0631 \u0622\u0646<\/li>\n<li>\u0622\u0634\u0646\u0627\u06cc\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0627 <strong>\u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u067e\u06cc\u0686\u0634\u06cc (CNN)<\/strong>: \u0645\u0639\u0645\u0627\u0631\u06cc\u060c \u0644\u0627\u06cc\u0647\u200c\u0647\u0627 \u0648 \u0627\u0635\u0648\u0644 \u06a9\u0627\u0631<\/li>\n<li>\u0645\u0639\u0645\u0627\u0631\u06cc\u200c\u0647\u0627\u06cc \u0645\u0639\u0631\u0648\u0641 CNN: LeNet, AlexNet, VGG, ResNet, Inception, MobileNet<\/li>\n<li>\u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc <strong>\u067e\u06cc\u0634\u200c\u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647\u200c\u0647\u0627<\/strong> \u0648 <strong>\u062a\u0642\u0648\u06cc\u062a \u062f\u0627\u062f\u0647 (Data Augmentation)<\/strong> \u0628\u0631\u0627\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 \u0648 \u0648\u06cc\u062f\u0626\u0648\u0647\u0627<\/li>\n<li>\u0645\u0628\u0627\u0646\u06cc <strong>\u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621<\/strong>: \u062a\u0641\u0627\u0648\u062a \u0628\u0627 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0648 \u0645\u062d\u0644\u06cc\u200c\u0633\u0627\u0632\u06cc<\/li>\n<li>\u0645\u0641\u0627\u0647\u06cc\u0645 \u0627\u0633\u0627\u0633\u06cc \u062f\u0631 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621: <strong>ROI (Region of Interest)<\/strong> \u0648 <strong>Anchor Boxes<\/strong><\/li>\n<li>\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 <strong>\u062f\u0648 \u0645\u0631\u062d\u0644\u0647\u200c\u0627\u06cc (Two-Stage Detectors)<\/strong>:\n<ul>\n<li>R-CNN\u060c Fast R-CNN \u0648 <strong>Faster R-CNN<\/strong><\/li>\n<li><strong>Mask R-CNN<\/strong> \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0648 \u062a\u0642\u0633\u06cc\u0645\u200c\u0628\u0646\u062f\u06cc \u0646\u0645\u0648\u0646\u0647 (Instance Segmentation)<\/li>\n<\/ul>\n<\/li>\n<li>\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 <strong>\u06cc\u06a9 \u0645\u0631\u062d\u0644\u0647\u200c\u0627\u06cc (One-Stage Detectors)<\/strong>:\n<ul>\n<li><strong>YOLO (You Only Look Once)<\/strong> \u0627\u0632 \u0646\u0633\u062e\u0647\u200c\u0647\u0627\u06cc \u0627\u0648\u0644\u06cc\u0647 \u062a\u0627 \u062c\u062f\u06cc\u062f\u062a\u0631\u06cc\u0646 \u0648\u0631\u0698\u0646\u200c\u0647\u0627<\/li>\n<li><strong>SSD (Single Shot MultiBox Detector)<\/strong> \u0648 Multibox Approach<\/li>\n<\/ul>\n<\/li>\n<li>\u0645\u062a\u0631\u06cc\u06a9\u200c\u0647\u0627\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621: <strong>IoU, mAP, Precision, Recall<\/strong><\/li>\n<li><strong>\u0627\u0646\u062a\u0642\u0627\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc (Transfer Learning)<\/strong> \u0648 Fine-tuning \u062f\u0631 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621<\/li>\n<li>\u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0628\u0627 \u0641\u0631\u06cc\u0645\u200c\u0648\u0631\u06a9\u200c\u0647\u0627\u06cc <strong>TensorFlow<\/strong> \u0648 <strong>PyTorch<\/strong><\/li>\n<li>\u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc\u060c \u0641\u0634\u0631\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0648 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0645\u062f\u0644\u200c\u0647\u0627 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc<\/li>\n<li>\u0622\u0634\u0646\u0627\u06cc\u06cc \u0628\u0627 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f (COCO, PASCAL VOC) \u0648 \u0686\u06af\u0648\u0646\u06af\u06cc \u06a9\u0627\u0631 \u0628\u0627 \u0622\u0646\u200c\u0647\u0627<\/li>\n<\/ul>\n<h2><a id=\"\u0645\u062e\u0627\u0637\u0628\u0627\u0646-\u062f\u0648\u0631\u0647\"><\/a>\u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0631\u0627\u06cc \u0686\u0647 \u06a9\u0633\u0627\u0646\u06cc \u0645\u0646\u0627\u0633\u0628 \u0627\u0633\u062a\u061f \u0622\u06cc\u0646\u062f\u0647 \u062f\u0631 \u0627\u0646\u062a\u0638\u0627\u0631 \u0634\u0645\u0627\u0633\u062a!<\/h2>\n<p>\u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0631\u0627\u06cc \u062a\u0645\u0627\u0645\u06cc \u0639\u0644\u0627\u0642\u0647\u200c\u0645\u0646\u062f\u0627\u0646 \u0628\u0647 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u06a9\u0647 \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u0627\u0631\u062a\u0642\u0627\u0621 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u062f\u0631 \u06cc\u06a9\u06cc \u0627\u0632 \u067e\u0631\u062a\u0642\u0627\u0636\u0627\u062a\u0631\u06cc\u0646 \u062d\u0648\u0632\u0647\u200c\u0647\u0627\u06cc \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0647\u0633\u062a\u0646\u062f\u060c \u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a. \u0627\u06af\u0631 \u0634\u0645\u0627 \u062f\u0631 \u06cc\u06a9\u06cc \u0627\u0632 \u062f\u0633\u062a\u0647\u200c\u0647\u0627\u06cc \u0632\u06cc\u0631 \u0642\u0631\u0627\u0631 \u0645\u06cc\u200c\u06af\u06cc\u0631\u06cc\u062f\u060c \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0627\u0646\u062a\u062e\u0627\u0628 \u0628\u0631\u0627\u06cc \u0634\u0645\u0627\u0633\u062a:<\/p>\n<ul>\n<li><strong>\u062f\u0627\u0646\u0634\u062c\u0648\u06cc\u0627\u0646 \u0648 \u0641\u0627\u0631\u063a\u200c\u0627\u0644\u062a\u062d\u0635\u06cc\u0644\u0627\u0646<\/strong> \u0631\u0634\u062a\u0647\u200c\u0647\u0627\u06cc \u0645\u0647\u0646\u062f\u0633\u06cc \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631\u060c \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc\u060c \u0628\u0631\u0642\u060c \u0631\u0628\u0627\u062a\u06cc\u06a9 \u0648 \u0631\u06cc\u0627\u0636\u06cc\u0627\u062a \u06a9\u0647 \u0642\u0635\u062f \u0648\u0631\u0648\u062f \u062c\u062f\u06cc \u0628\u0647 \u062d\u0648\u0632\u0647 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0631\u0627 \u062f\u0627\u0631\u0646\u062f.<\/li>\n<li><strong>\u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0646\u0648\u06cc\u0633\u0627\u0646 \u0648 \u062a\u0648\u0633\u0639\u0647\u200c\u062f\u0647\u0646\u062f\u06af\u0627\u0646<\/strong> \u067e\u0627\u06cc\u062a\u0648\u0646 \u06a9\u0647 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u0646\u062f \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u062f\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0622\u0646 \u06af\u0633\u062a\u0631\u0634 \u062f\u0647\u0646\u062f.<\/li>\n<li><strong>\u062f\u0627\u0646\u0634\u0645\u0646\u062f\u0627\u0646 \u062f\u0627\u062f\u0647 (Data Scientists)<\/strong> \u0648 <strong>\u0645\u0647\u0646\u062f\u0633\u0627\u0646 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 (Machine Learning Engineers)<\/strong> \u06a9\u0647 \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u062a\u0633\u0644\u0637 \u0628\u0631 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0648 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0622\u0646\u200c\u0647\u0627 \u062f\u0631 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u0635\u0646\u0639\u062a\u06cc \u0647\u0633\u062a\u0646\u062f.<\/li>\n<li><strong>\u0645\u062d\u0642\u0642\u0627\u0646 \u0648 \u067e\u0698\u0648\u0647\u0634\u06af\u0631\u0627\u0646<\/strong> \u0641\u0639\u0627\u0644 \u062f\u0631 \u0632\u0645\u06cc\u0646\u0647 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u06a9\u0647 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u0646\u062f \u0628\u0627 \u062c\u062f\u06cc\u062f\u062a\u0631\u06cc\u0646 \u0645\u062a\u062f\u0648\u0644\u0648\u0698\u06cc\u200c\u0647\u0627 \u0648 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0622\u0634\u0646\u0627 \u0634\u0648\u0646\u062f.<\/li>\n<li><strong>\u06a9\u0627\u0631\u0622\u0641\u0631\u06cc\u0646\u0627\u0646 \u0648 \u0635\u0627\u062d\u0628\u0627\u0646 \u06a9\u0633\u0628\u200c\u0648\u06a9\u0627\u0631\u0647\u0627\u06cc\u06cc<\/strong> \u06a9\u0647 \u0642\u0635\u062f \u062f\u0627\u0631\u0646\u062f \u0631\u0627\u0647\u06a9\u0627\u0631\u0647\u0627\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0631\u0627 \u062f\u0631 \u0645\u062d\u0635\u0648\u0644\u0627\u062a \u0648 \u062e\u062f\u0645\u0627\u062a \u062e\u0648\u062f \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u06a9\u0646\u0646\u062f.<\/li>\n<\/ul>\n<p><strong>\u067e\u06cc\u0634\u200c\u0646\u06cc\u0627\u0632\u0647\u0627:<\/strong> \u0622\u0634\u0646\u0627\u06cc\u06cc \u0645\u0642\u062f\u0645\u0627\u062a\u06cc \u0628\u0627 \u0632\u0628\u0627\u0646 \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0646\u0648\u06cc\u0633\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0648 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0627\u0648\u0644\u06cc\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 (\u0645\u0627\u0646\u0646\u062f \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0648 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc) 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\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627:<\/strong> \u0627\u0632 R-CNN \u06af\u0631\u0641\u062a\u0647 \u062a\u0627 \u062c\u062f\u06cc\u062f\u062a\u0631\u06cc\u0646 \u0646\u0633\u062e\u0647\u200c\u0647\u0627\u06cc YOLO \u0648 SSD\u060c \u0634\u0645\u0627 \u0628\u0627 \u0645\u0639\u0645\u0627\u0631\u06cc \u0648 \u0646\u062d\u0648\u0647 \u0639\u0645\u0644\u06a9\u0631\u062f \u0642\u062f\u0631\u062a\u0645\u0646\u062f\u062a\u0631\u06cc\u0646 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0622\u0634\u0646\u0627 \u0634\u062f\u0647 \u0648 \u062a\u0648\u0627\u0646\u0627\u06cc\u06cc \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0622\u0646\u200c\u0647\u0627 \u0631\u0627 \u067e\u06cc\u062f\u0627 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.<\/li>\n<li><strong>\u0627\u0641\u0632\u0627\u06cc\u0634 \u0686\u0634\u0645\u06af\u06cc\u0631 \u0631\u0632\u0648\u0645\u0647 \u0648 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\u06af\u0630\u0627\u0634\u062a.<\/li>\n<li><strong>\u0622\u0645\u0627\u062f\u06af\u06cc \u0628\u0631\u0627\u06cc \u0686\u0627\u0644\u0634\u200c\u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc:<\/strong> \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u062a\u0646\u0647\u0627 \u0628\u0647 \u062a\u0626\u0648\u0631\u06cc \u0645\u062d\u062f\u0648\u062f \u0646\u0645\u06cc\u200c\u0634\u0648\u062f\u061b \u0634\u0645\u0627 \u0628\u0627 \u0686\u0627\u0644\u0634\u200c\u0647\u0627\u06cc \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc\u060c \u0627\u0632 \u062c\u0645\u0644\u0647 \u062c\u0645\u0639\u200c\u0622\u0648\u0631\u06cc \u0648 \u0622\u0645\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u067e\u06cc\u0686\u06cc\u062f\u0647\u060c \u062a\u0646\u0638\u06cc\u0645 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u060c \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u062f\u0644\u200c\u0647\u0627 \u0648 \u0631\u0641\u0639 \u062e\u0637\u0627\u0647\u0627\u06cc \u0631\u0627\u06cc\u062c\u060c \u062f\u0633\u062a \u0648 \u067e\u0646\u062c\u0647 \u0646\u0631\u0645 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.<\/li>\n<li><strong>\u0634\u0628\u06a9\u0647\u200c\u0633\u0627\u0632\u06cc \u0648 \u0627\u0631\u062a\u0628\u0627\u0637 \u0628\u0627 \u0645\u062a\u062e\u0635\u0635\u06cc\u0646:<\/strong> \u0641\u0631\u0635\u062a\u06cc \u0628\u06cc\u200c\u0646\u0638\u06cc\u0631 \u0628\u0631\u0627\u06cc \u0622\u0634\u0646\u0627\u06cc\u06cc \u0648 \u062a\u0628\u0627\u062f\u0644 \u0646\u0638\u0631 \u0628\u0627 \u0633\u0627\u06cc\u0631 \u0639\u0644\u0627\u0642\u0647\u200c\u0645\u0646\u062f\u0627\u0646 \u0648 \u0645\u062a\u062e\u0635\u0635\u06cc\u0646 \u0627\u06cc\u0646 \u062d\u0648\u0632\u0647 \u062e\u0648\u0627\u0647\u06cc\u062f \u062f\u0627\u0634\u062a \u06a9\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u062f\u0631 \u0622\u06cc\u0646\u062f\u0647 \u0634\u063a\u0644\u06cc \u0634\u0645\u0627 \u0628\u0633\u06cc\u0627\u0631 \u0645\u0624\u062b\u0631 \u0628\u0627\u0634\u062f.<\/li>\n<\/ul>\n<p>\u0641\u0631\u0635\u062a \u0631\u0627 \u0627\u0632 \u062f\u0633\u062a \u0646\u062f\u0647\u06cc\u062f \u0648 \u0622\u06cc\u0646\u062f\u0647 \u0634\u063a\u0644\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0627 \u062a\u0633\u0644\u0637 \u0628\u0631 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0627 CNN \u062a\u0636\u0645\u06cc\u0646 \u06a9\u0646\u06cc\u062f! \u0647\u0645\u06cc\u0646 \u0627\u0645\u0631\u0648\u0632 \u0628\u0631\u0627\u06cc \u062b\u0628\u062a\u200c\u0646\u0627\u0645 \u0627\u0642\u062f\u0627\u0645 \u06a9\u0646\u06cc\u062f \u0648 \u06af\u0627\u0645\u06cc \u0628\u0632\u0631\u06af \u062f\u0631 \u0645\u0633\u06cc\u0631 \u062a\u0628\u062f\u06cc\u0644 \u0634\u062f\u0646 \u0628\u0647 \u06cc\u06a9 \u0645\u062a\u062e\u0635\u0635 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0628\u0631\u062f\u0627\u0631\u06cc\u062f.<\/p>\n<h2><a id=\"\u0633\u0631\u0641\u0635\u0644-\u0647\u0627\u06cc-\u062f\u0648\u0631\u0647\"><\/a>\u0633\u0631\u0641\u0635\u0644\u200c\u0647\u0627\u06cc \u062c\u0627\u0645\u0639 \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u062f\u0648\u0631\u0647 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0627 CNN<\/h2>\n<p>\u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0627 \u067e\u0648\u0634\u0634 \u0628\u06cc\u0634 \u0627\u0632 <strong>100 \u0633\u0631\u0641\u0635\u0644 \u062c\u0627\u0645\u0639 \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc<\/strong>\u060c \u062a\u0645\u0627\u0645\u06cc \u062c\u0646\u0628\u0647\u200c\u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0628\u0631\u0627\u06cc \u062a\u0628\u062f\u06cc\u0644 \u0634\u062f\u0646 \u0628\u0647 \u06cc\u06a9 \u0645\u062a\u062e\u0635\u0635 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0631\u0627 \u062f\u0631 \u0628\u0631 \u0645\u06cc\u200c\u06af\u06cc\u0631\u062f. \u0633\u0631\u0641\u0635\u0644\u200c\u0647\u0627 \u0628\u0647 \u06af\u0648\u0646\u0647\u200c\u0627\u06cc \u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647\u200c\u0627\u0646\u062f \u06a9\u0647 \u0634\u0645\u0627 \u0631\u0627 \u06af\u0627\u0645 \u0628\u0647 \u06af\u0627\u0645 \u0627\u0632 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0628\u0646\u06cc\u0627\u062f\u06cc \u062a\u0627 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647\u200c\u062a\u0631\u06cc\u0646 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627 \u0647\u0645\u0631\u0627\u0647\u06cc \u06a9\u0646\u0646\u062f. \u062f\u0631 \u0627\u062f\u0627\u0645\u0647 \u0628\u0647 \u0628\u0631\u062e\u06cc \u0627\u0632 \u0645\u0647\u0645\u200c\u062a\u0631\u06cc\u0646 \u0633\u0631\u0641\u0635\u0644\u200c\u0647\u0627\u06cc \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0627\u0634\u0627\u0631\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<ul>\n<li><strong>\u0641\u0635\u0644 \u0627\u0648\u0644: \u0645\u0642\u062f\u0645\u0647\u200c\u0627\u06cc \u0628\u0631 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642<\/strong>\n<ul>\n<li>\u0622\u0634\u0646\u0627\u06cc\u06cc \u0628\u0627 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc\u060c \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0648 \u0646\u0642\u0634 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u062f\u0631 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646<\/li>\n<li>\u0645\u0631\u0648\u0631\u06cc \u0628\u0631 \u0645\u0641\u0627\u0647\u06cc\u0645 \u067e\u0627\u06cc\u0647 \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0648 \u062a\u0648\u0627\u0628\u0639 \u0641\u0639\u0627\u0644\u200c\u0633\u0627\u0632\u06cc<\/li>\n<li>\u0622\u0634\u0646\u0627\u06cc\u06cc \u0628\u0627 \u0641\u0631\u06cc\u0645\u200c\u0648\u0631\u06a9\u200c\u0647\u0627\u06cc TensorFlow \u0648 PyTorch \u0648 \u0639\u0645\u0644\u06cc\u0627\u062a \u067e\u0627\u06cc\u0647 \u062a\u0627\u0646\u0633\u0648\u0631\u0647\u0627<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u0641\u0635\u0644 \u062f\u0648\u0645: \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u067e\u06cc\u0686\u0634\u06cc (CNN) \u0627\u0632 \u067e\u0627\u06cc\u0647 \u062a\u0627 \u067e\u06cc\u0634\u0631\u0641\u062a\u0647<\/strong>\n<ul>\n<li>\u0645\u0639\u0645\u0627\u0631\u06cc \u0644\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc \u067e\u06cc\u0686\u0634\u06cc\u060c Pooling\u060c Dropout \u0648 Batch Normalization<\/li>\n<li>\u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u06cc\u06a9 CNN \u0633\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631<\/li>\n<li>\u0628\u0631\u0631\u0633\u06cc \u0645\u0639\u0645\u0627\u0631\u06cc\u200c\u0647\u0627\u06cc LeNet, AlexNet, VGG, ResNet, Inception, MobileNet<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u0641\u0635\u0644 \u0633\u0648\u0645: \u0645\u0628\u0627\u0646\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0648 \u0622\u0645\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627<\/strong>\n<ul>\n<li>\u062a\u0639\u0631\u06cc\u0641 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621\u060c \u062a\u0641\u0627\u0648\u062a \u0628\u0627 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0648 \u0645\u062d\u0644\u06cc\u200c\u0633\u0627\u0632\u06cc<\/li>\n<li>\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u067e\u0631\u06a9\u0627\u0631\u0628\u0631\u062f \u062f\u0631 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 (PASCAL VOC, COCO)<\/li>\n<li>\u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u062d\u0627\u0634\u06cc\u0647\u200c\u0646\u0648\u06cc\u0633\u06cc (Annotation) \u0648 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0645\u0631\u0628\u0648\u0637\u0647<\/li>\n<li>\u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u067e\u06cc\u0634\u200c\u067e\u0631\u062f\u0627\u0632\u0634 \u0648 \u062a\u0642\u0648\u06cc\u062a \u062f\u0627\u062f\u0647 (Data Augmentation) \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u0641\u0635\u0644 \u0686\u0647\u0627\u0631\u0645: \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u062f\u0648 \u0645\u0631\u062d\u0644\u0647\u200c\u0627\u06cc (Two-Stage Detectors)<\/strong>\n<ul>\n<li>\u0645\u0639\u0631\u0641\u06cc R-CNN \u0648 \u0645\u0641\u0647\u0648\u0645 Region Proposals<\/li>\n<li>\u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0648 \u062f\u0631\u06a9 Fast R-CNN \u0628\u0627 RoI Pooling<\/li>\n<li><strong>Faster R-CNN:<\/strong> \u0645\u0639\u0645\u0627\u0631\u06cc\u060c Region Proposal Network (RPN) \u0648 \u0622\u0645\u0648\u0632\u0634 End-to-End<\/li>\n<li><strong>Mask R-CNN:<\/strong> \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0647\u0645\u0631\u0627\u0647 \u0628\u0627 \u062a\u0642\u0633\u06cc\u0645\u200c\u0628\u0646\u062f\u06cc \u062f\u0642\u06cc\u0642 \u0646\u0645\u0648\u0646\u0647 (Instance Segmentation)<\/li>\n<li>\u067e\u0631\u0648\u0698\u0647 \u0639\u0645\u0644\u06cc: \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0648 \u0622\u0645\u0648\u0632\u0634 Faster R-CNN \u0628\u0631 \u0631\u0648\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062f\u0644\u062e\u0648\u0627\u0647<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u0641\u0635\u0644 \u067e\u0646\u062c\u0645: \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u06cc\u06a9 \u0645\u0631\u062d\u0644\u0647\u200c\u0627\u06cc (One-Stage Detectors)<\/strong>\n<ul>\n<li><strong>YOLO (You Only Look Once):<\/strong> \u0627\u0635\u0648\u0644\u060c \u0633\u0627\u062e\u062a\u0627\u0631 Grid Cell\u060c \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc Bounding Box<\/li>\n<li>\u0628\u0631\u0631\u0633\u06cc \u062a\u06a9\u0627\u0645\u0644 YOLO: \u0627\u0632 YOLOv1 \u062a\u0627 \u062c\u062f\u06cc\u062f\u062a\u0631\u06cc\u0646 \u0646\u0633\u062e\u0647\u200c\u0647\u0627\u06cc \u067e\u0627\u06cc\u062f\u0627\u0631 \u0648 \u0628\u0647\u0628\u0648\u062f\u0647\u0627<\/li>\n<li><strong>SSD (Single Shot MultiBox Detector):<\/strong> Multiple Feature Maps \u0648 Default Boxes<\/li>\n<li>\u0645\u0642\u0627\u06cc\u0633\u0647 \u062c\u0627\u0645\u0639 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0639\u0645\u0644\u06a9\u0631\u062f YOLO \u0648 SSD \u062f\u0631 \u0633\u0646\u0627\u0631\u06cc\u0648\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641<\/li>\n<li>\u067e\u0631\u0648\u0698\u0647 \u0639\u0645\u0644\u06cc: \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0644\u0627\u062f\u0631\u0646\u06af \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 YOLO<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u0641\u0635\u0644 \u0634\u0634\u0645: \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0648 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u062f\u0631 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621<\/strong>\n<ul>\n<li><strong>\u0627\u0646\u062a\u0642\u0627\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc (Transfer Learning)<\/strong> \u0648 Fine-tuning \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647<\/li>\n<li>\u0645\u062a\u0631\u06cc\u06a9\u200c\u0647\u0627\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f: Intersection over Union (IoU) \u0648 Mean Average Precision (mAP)<\/li>\n<li>Non-Maximum Suppression (NMS) \u0648 \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u0628\u0647\u0628\u0648\u062f \u062f\u0642\u062a<\/li>\n<li>\u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u0641\u0634\u0631\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0648 \u0633\u0628\u06a9\u200c\u0633\u0627\u0632\u06cc \u0645\u062f\u0644\u200c\u0647\u0627 \u0628\u0631\u0627\u06cc \u062f\u0633\u062a\u06af\u0627\u0647\u200c\u0647\u0627\u06cc \u0645\u062d\u062f\u0648\u062f<\/li>\n<li>\u062e\u0637\u0627\u06cc\u0627\u0628\u06cc\u060c \u062a\u062d\u0644\u06cc\u0644 \u062e\u0637\u0627 \u0648 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0628\u0647\u0628\u0648\u062f \u0639\u0645\u0644\u06a9\u0631\u062f \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u0641\u0635\u0644 \u0647\u0641\u062a\u0645: \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u0646\u0647\u0627\u06cc\u06cc<\/strong>\n<ul>\n<li>\u067e\u0631\u0648\u0698\u0647 \u062c\u0627\u0645\u0639 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u062f\u0631 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0648 \u0648\u06cc\u062f\u0626\u0648\u0647\u0627\u06cc \u0635\u0646\u0639\u062a\u06cc<\/li>\n<li>\u067e\u0631\u0648\u0698\u0647 \u062a\u0634\u062e\u06cc\u0635 \u0686\u0647\u0631\u0647 \u0648 \u0627\u062c\u0632\u0627\u06cc \u0622\u0646 \u062f\u0631 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0648 \u0648\u06cc\u062f\u0626\u0648<\/li>\n<li>\u067e\u0631\u0648\u0698\u0647 \u0634\u0645\u0627\u0631\u0634 \u0648 \u0631\u062f\u06cc\u0627\u0628\u06cc \u0627\u0634\u06cc\u0627\u0621 \u062f\u0631 \u062c\u0631\u06cc\u0627\u0646 \u0648\u06cc\u062f\u0626\u0648<\/li>\n<li>\u0645\u0642\u062f\u0645\u0647\u200c\u0627\u06cc \u0628\u0631 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 (Deployment) \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u062f\u0631 \u0645\u062d\u06cc\u0637\u200c\u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc (\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc\u06cc \u0645\u0627\u0646\u0646\u062f ONNX\u060c Flask)<\/li>\n<li>\u0646\u06a9\u0627\u062a \u06a9\u0644\u06cc\u062f\u06cc \u0628\u0631\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0645\u062f\u0644 \u0648 \u0645\u0639\u0645\u0627\u0631\u06cc \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>\u0627\u06cc\u0646\u0647\u0627 \u062a\u0646\u0647\u0627 \u0628\u062e\u0634 \u06a9\u0648\u0686\u06a9\u06cc \u0627\u0632 \u0633\u0631\u0641\u0635\u0644\u200c\u0647\u0627\u06cc \u063a\u0646\u06cc \u0648 \u06a9\u0627\u0645\u0644 \u062f\u0648\u0631\u0647 “\u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0627 CNN” \u0647\u0633\u062a\u0646\u062f. \u0647\u0631 \u0633\u0631\u0641\u0635\u0644 \u0628\u0627 \u062f\u0642\u062a \u0628\u0627\u0644\u0627 \u0648 \u062a\u0645\u0631\u06a9\u0632 \u0628\u0631 \u0627\u0631\u0627\u0626\u0647 \u062f\u0627\u0646\u0634 \u0639\u0645\u0644\u06cc \u0648 \u0642\u0627\u0628\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062f\u0631 \u0635\u0646\u0639\u062a \u062a\u062f\u0648\u06cc\u0646 \u0634\u062f\u0647 \u0627\u0633\u062a \u062a\u0627 \u0634\u0645\u0627 \u0631\u0627 \u0628\u0647 \u06cc\u06a9 \u0645\u062a\u062e\u0635\u0635 \u0648\u0627\u0642\u0639\u06cc \u062f\u0631 \u0627\u06cc\u0646 \u062d\u0648\u0632\u0647 \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0646\u062f. \u0622\u0645\u0627\u062f\u0647 \u0634\u0648\u06cc\u062f \u062a\u0627 \u0628\u0627 \u0634\u0631\u06a9\u062a \u062f\u0631 \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647\u060c \u06af\u0627\u0645\u06cc \u0628\u0644\u0646\u062f \u062f\u0631 \u0645\u0633\u06cc\u0631 \u062a\u0628\u062f\u06cc\u0644 \u0634\u062f\u0646 \u0628\u0647 \u06cc\u06a9 \u0645\u062a\u062e\u0635\u0635 \u0628\u0631\u062c\u0633\u062a\u0647 \u062f\u0631 \u062d\u0648\u0632\u0647 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0631\u062f\u0627\u0631\u06cc\u062f!<\/p>\n<p><\/body><br \/>\n<\/html><\/div>\n<div\r\n style=\"border: 2px dashed #4CAF50; border-radius: 16px; padding: 20px; background: #f9fff9; font-family: 'IRANSans', sans-serif;\">\r\n <h2 style=\"color: #2E7D32; margin-top: 0;\">\ud83d\udcda \u0645\u062d\u062a\u0648\u0627\u06cc \u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u0622\u0645\u0648\u0632\u0634\u06cc (\u067e\u06a9\u06cc\u062c \u06a9\u0627\u0645\u0644)<\/h2>\r\n <div\r\n style=\"background: #E8F5E9; border-radius: 12px; padding: 15px 20px; margin-bottom: 20px; border: 1px solid #A5D6A7;\">\r\n <h3 style=\"color: #1B5E20; margin-top: 0;\">\ud83d\udca1 \u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u06cc\u06a9 \u0646\u0633\u062e\u0647\u0654 \u06a9\u0627\u0645\u0644 \u0648 \u062c\u0627\u0645\u0639 \u0627\u0633\u062a<\/h3>\r\n <p style=\"font-size:16px; line-height:1.8; color:#2E7D32; margin:0;\"> \u062a\u0645\u0627\u0645\u06cc \u0645\u062d\u062a\u0648\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u062f\u0631 \u0642\u0627\u0644\u0628 \u06cc\u06a9\r\n \u0628\u0633\u062a\u0647\u200c\u06cc \u06a9\u0627\u0645\u0644 \u0648 \u06cc\u06a9\u067e\u0627\u0631\u0686\u0647 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f \u0648 \u0634\u0627\u0645\u0644 \u062a\u0645\u0627\u0645 \u0646\u0633\u062e\u0647\u200c\u0647\u0627 \u0648 \u0641\u0627\u06cc\u0644\u200c\u0647\u0627\u06cc \u0645\u0648\u0631\u062f\u0646\u06cc\u0627\u0632 \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0633\u062a. <\/p>\r\n <\/div>\r\n <h3 style=\"color: #2E7D32;\">\ud83c\udf81 \u0645\u062d\u062a\u0648\u06cc\u0627\u062a \u06a9\u0627\u0645\u0644 \u0628\u0633\u062a\u0647 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc<\/h3>\r\n\r\n\t\r\n<ul style=\"list-style-type: '\u2705 '; padding-left: 20px; font-size: 16px; line-height: 1.8;\">\r\n <li><strong>\u0648\u06cc\u062f\u06cc\u0648\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0641\u0627\u0631\u0633\u06cc<\/strong> \u2014 \u0622\u0645\u0648\u0632\u0634 \u0642\u062f\u0645\u200c\u0628\u0647\u200c\u0642\u062f\u0645\u060c \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u0648 \u0642\u0627\u0628\u0644 \u0641\u0647\u0645<\/li>\r\n <li><strong>\u067e\u0627\u062f\u06a9\u0633\u062a\u200c\u0647\u0627\u06cc \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc<\/strong> \u2014 \u062a\u0648\u0636\u06cc\u062d \u0645\u0641\u0627\u0647\u06cc\u0645 \u06a9\u0644\u06cc\u062f\u06cc \u0648 \u0646\u06a9\u0627\u062a \u062a\u06a9\u0645\u06cc\u0644\u06cc<\/li>\r\n <li><strong>\u06a9\u062a\u0627\u0628 PDF \u0641\u0627\u0631\u0633\u06cc<\/strong> \u2014 \u0634\u0627\u0645\u0644 \u06a9\u0644\u06cc\u0647\u0654 \u0633\u0631\u0641\u0635\u0644\u200c\u0647\u0627 \u0648 \u0645\u062d\u062a\u0648\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc<\/li>\r\n <li><strong>\u06a9\u062a\u0627\u0628 \u062e\u0644\u0627\u0635\u0647 \u0646\u06a9\u0627\u062a \u0648\u06cc\u062f\u06cc\u0648\u0647\u0627 \u0648 \u067e\u0627\u062f\u06a9\u0633\u062a\u200c\u0647\u0627 \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong> \u2014 \u0645\u0646\u0627\u0633\u0628 \u0645\u0631\u0648\u0631 \u0633\u0631\u06cc\u0639 \u0648 \u062c\u0645\u0639\u200c\u0628\u0646\u062f\u06cc \u0645\u0628\u0627\u062d\u062b<\/li>\r\n <li><strong>\u06a9\u062a\u0627\u0628 \u0635\u062f\u0647\u0627 \u0646\u06a9\u062a\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062e\u0648\u062f\u0645\u0648\u0646\u06cc) \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong> \u2014 \u0632\u0628\u0627\u0646 \u0633\u0627\u062f\u0647 \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc<\/li>\r\n <li><strong>\u06a9\u062a\u0627\u0628 \u0635\u062f\u0647\u0627 \u0646\u06a9\u062a\u0647 \u0631\u0633\u0645\u06cc \u0641\u0627\u0631\u0633\u06cc \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong> \u2014 \u0646\u06af\u0627\u0631\u0634 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f\u060c \u0639\u0644\u0645\u06cc \u0648 \u0645\u0646\u0627\u0633\u0628 \u0686\u0627\u067e<\/li>\r\n\r\n <li>\r\n <strong>\u06a9\u062a\u0627\u0628 \u0635\u062f\u0647\u0627 \u067e\u0631\u0633\u0634 \u0648 \u067e\u0627\u0633\u062e \u062a\u0634\u0631\u06cc\u062d\u06cc \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong><br>\r\n \u2014 \u0647\u0631 \u0633\u0624\u0627\u0644 \u0628\u0644\u0627\u0641\u0627\u0635\u0644\u0647 \u0647\u0645\u0631\u0627\u0647 \u0628\u0627 \u067e\u0627\u0633\u062e \u06a9\u0627\u0645\u0644 \u0648 \u0634\u0641\u0627\u0641 \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a\u061b \u0645\u0646\u0627\u0633\u0628 \u062f\u0631\u06a9 \u0639\u0645\u06cc\u0642 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0648 \u0631\u0641\u0639 \u0627\u0628\u0647\u0627\u0645.\r\n <\/li>\r\n\r\n <li>\r\n <strong>\u06a9\u062a\u0627\u0628 \u0635\u062f\u0647\u0627 \u067e\u0631\u0633\u0634 \u0648 \u067e\u0627\u0633\u062e \u0686\u0647\u0627\u0631\u06af\u0632\u06cc\u0646\u0647\u200c\u0627\u06cc \u2013 \u0646\u0633\u062e\u0647 PDF (\u0646\u0633\u062e\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0633\u0631\u06cc\u0639)<\/strong><br>\r\n \u2014 \u067e\u0627\u0633\u062e\u200c\u0647\u0627 \u0628\u0644\u0627\u0641\u0627\u0635\u0644\u0647 \u067e\u0633 \u0627\u0632 \u0633\u0624\u0627\u0644 \u0642\u0631\u0627\u0631 \u062f\u0627\u0631\u0646\u062f\u061b \u0645\u0646\u0627\u0633\u0628 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0633\u0631\u06cc\u0639 \u0648 \u062a\u062b\u0628\u06cc\u062a \u0645\u0637\u0627\u0644\u0628.\r\n <\/li>\r\n\r\n <li>\r\n <strong>\u06a9\u062a\u0627\u0628 \u0635\u062f\u0647\u0627 \u067e\u0631\u0633\u0634 \u0648 \u067e\u0627\u0633\u062e \u0686\u0647\u0627\u0631\u06af\u0632\u06cc\u0646\u0647\u200c\u0627\u06cc \u2013 \u0646\u0633\u062e\u0647 PDF (\u0646\u0633\u062e\u0647 \u062e\u0648\u062f\u0622\u0632\u0645\u0627\u06cc\u06cc \u067e\u0627\u06cc\u0627\u0646\u200c\u0628\u062e\u0634)<\/strong><br>\r\n \u2014 \u067e\u0627\u0633\u062e\u200c\u0647\u0627 \u062f\u0631 \u0627\u0646\u062a\u0647\u0627\u06cc \u0647\u0631 \u0628\u062e\u0634 \u0622\u0645\u062f\u0647\u200c\u0627\u0646\u062f\u061b \u0645\u0646\u0627\u0633\u0628 \u0622\u0632\u0645\u0648\u0646 \u0648\u0627\u0642\u0639\u06cc \u0648 \u0633\u0646\u062c\u0634 \u0645\u06cc\u0632\u0627\u0646 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc.\r\n <\/li>\r\n\r\n <li>\r\n <strong>\u06a9\u062a\u0627\u0628 \u062a\u0645\u0631\u06cc\u0646\u200c\u0647\u0627\u06cc \u062f\u0631\u0633\u062a \/ \u0646\u0627\u062f\u0631\u0633\u062a (True \/ False) \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong><br>\r\n \u2014 \u0645\u0646\u0627\u0633\u0628 \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0642\u062a \u0645\u0641\u0647\u0648\u0645\u06cc \u0648 \u062a\u0634\u062e\u06cc\u0635 \u0635\u062d\u06cc\u062d \u06cc\u0627 \u0646\u0627\u062f\u0631\u0633\u062a \u0628\u0648\u062f\u0646 \u06af\u0632\u0627\u0631\u0647\u200c\u0647\u0627.\r\n <\/li>\r\n\r\n <li>\r\n <strong>\u06a9\u062a\u0627\u0628 \u062a\u0645\u0631\u06cc\u0646\u200c\u0647\u0627\u06cc \u062c\u0627\u06cc \u062e\u0627\u0644\u06cc \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong><br>\r\n \u2014 \u062a\u0642\u0648\u06cc\u062a \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0641\u0639\u0627\u0644 \u0648 \u062a\u0633\u0644\u0637 \u0628\u0631 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0648 \u0627\u0635\u0637\u0644\u0627\u062d\u0627\u062a \u06a9\u0644\u06cc\u062f\u06cc.\r\n <\/li>\r\n<\/ul>\r\n\t\r\n\t\r\n\t\r\n\t\r\n <p style=\"color: #388E3C; font-weight: bold; font-size: 18px; margin-top: 20px;\"> \ud83c\udfaf \u0627\u06cc\u0646 \u0628\u0633\u062a\u0647 \u06cc\u06a9 \u062f\u0648\u0631\u0647\u0654 \u0622\u0645\u0648\u0632\u0634\u06cc \u06a9\u0627\u0645\u0644 \u0648\r\n \u0686\u0646\u062f\u0644\u0627\u06cc\u0647 \u0627\u0633\u062a\u061b \u0634\u0627\u0645\u0644 \u0622\u0645\u0648\u0632\u0634 \u062a\u0635\u0648\u06cc\u0631\u06cc\u060c \u0635\u0648\u062a\u06cc\u060c \u06a9\u062a\u0627\u0628\u200c\u0647\u0627\u060c \u062a\u0645\u0631\u06cc\u0646\u200c\u0647\u0627 \u0648 \u062e\u0648\u062f\u0622\u0632\u0645\u0627\u06cc\u06cc . <\/p>\r\n <hr style=\"border: none; border-top: 1px dashed #81C784; margin: 20px 0;\">\r\n <h3 style=\"color: #2E7D32;\">\u2139\ufe0f \u0646\u06a9\u0627\u062a \u0645\u0647\u0645 \u0647\u0646\u06af\u0627\u0645 \u062e\u0631\u06cc\u062f<\/h3>\r\n <ul style=\"list-style-type: '\ud83d\udd38 '; padding-left: 20px; font-size: 15px; line-height: 1.9;\">\r\n <li>\u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a <strong>\u0641\u0627\u06cc\u0644 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc \u06a9\u0627\u0645\u0644<\/strong> \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f \u0648 \u0646\u0633\u062e\u0647\u0654 \u0686\u0627\u067e\u06cc \u0646\u062f\u0627\u0631\u062f.<\/li>\r\n <li>\u062a\u0645\u0627\u0645\u06cc \u0641\u0627\u06cc\u0644\u200c\u0647\u0627 \u0648 \u06a9\u062a\u0627\u0628\u200c\u0647\u0627 <strong>\u06a9\u0627\u0645\u0644\u0627\u064b \u0641\u0627\u0631\u0633\u06cc<\/strong> \u0647\u0633\u062a\u0646\u062f.<\/li>\r\n <li><strong>\u062a\u0648\u062c\u0647:<\/strong> \u0644\u06cc\u0646\u06a9\u200c\u0647\u0627\u06cc \u0627\u062e\u062a\u0635\u0627\u0635\u06cc \u062f\u0648\u0631\u0647 \u0637\u06cc <strong>\u06f4\u06f8 \u0633\u0627\u0639\u062a<\/strong> \u067e\u0633 \u0627\u0632 \u062b\u0628\u062a \u0633\u0641\u0627\u0631\u0634 \u0627\u0631\u0633\u0627\u0644 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/li>\r\n <li>\u0646\u06cc\u0627\u0632\u06cc \u0628\u0647 \u062f\u0631\u062c \u0634\u0645\u0627\u0631\u0647 \u0645\u0648\u0628\u0627\u06cc\u0644 \u0646\u06cc\u0633\u062a\u061b \u0627\u0645\u0627 \u0628\u0631\u0627\u06cc \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0633\u0631\u06cc\u0639\u200c\u062a\u0631 \u062a\u0648\u0635\u06cc\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.<\/li>\r\n <li>\u062f\u0631 \u0635\u0648\u0631\u062a \u0628\u0631\u0648\u0632 \u0645\u0634\u06a9\u0644 \u062f\u0631 \u062f\u0627\u0646\u0644\u0648\u062f \u0628\u0627 \u0634\u0645\u0627\u0631\u0647 <strong>09395106248<\/strong> \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u062f.<\/li>\r\n <li>\u0627\u06af\u0631 \u067e\u0631\u062f\u0627\u062e\u062a \u0627\u0646\u062c\u0627\u0645 \u0634\u062f\u0647 \u0648\u0644\u06cc \u0644\u06cc\u0646\u06a9\u200c\u0647\u0627 \u0631\u0627 \u062f\u0631\u06cc\u0627\u0641\u062a \u0646\u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u062f\u060c \u0646\u0627\u0645 \u0648 \u0646\u0627\u0645 \u062e\u0627\u0646\u0648\u0627\u062f\u06af\u06cc \u0648 \u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0631\u0627 \u067e\u06cc\u0627\u0645\u06a9 \u06a9\u0646\u06cc\u062f \u062a\u0627\r\n \u0644\u06cc\u0646\u06a9\u200c\u0647\u0627 \u062f\u0648\u0628\u0627\u0631\u0647 \u0627\u0631\u0633\u0627\u0644 \u0634\u0648\u0646\u062f.<\/li>\r\n <\/ul>\r\n <p style=\"font-size: 16px; line-height: 1.8; margin-top: 15px;\"> \ud83d\udcac \u0631\u0627\u0647\u200c\u0647\u0627\u06cc \u0627\u0631\u062a\u0628\u0627\u0637\u06cc \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc:<br> \u0648\u0627\u062a\u0633\u200c\u0627\u067e \u06cc\u0627 \u067e\u06cc\u0627\u0645\u06a9:\r\n <strong>09395106248<\/strong><br> \u062a\u0644\u06af\u0631\u0627\u0645: <strong>@ma_limbs<\/strong> <\/p>\r\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u062f\u0648\u0631\u0647 \u062c\u0627\u0645\u0639 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 (Object Detection) \u0628\u0627 CNN – \u0645\u0633\u06cc\u0631 \u0634\u0645\u0627 \u0628\u0647 \u0633\u0648\u06cc \u062a\u0633\u0644\u0637 \u0628\u0631 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062f\u0648\u0631\u0647 \u062c\u0627\u0645\u0639 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 (Object Detection) \u0628\u0627 CNN: \u062a\u0633\u0644\u0637 \u0628\u0631 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0627\u0646\u0642\u0644\u0627\u0628\u06cc \u062f\u0631 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646: \u0628\u0627 …<\/p>\n","protected":false},"featured_media":67493,"comment_status":"open","ping_status":"closed","template":"","meta":{"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}}},"product_cat":[196,1221,228141],"product_tag":[1149,1841,1840,1144,1843,1303,6096,716,1834,493,29461,13201,261,674],"class_list":{"0":"post-320976","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-196","7":"product_cat-1221","8":"product_cat---deep-learning","9":"product_tag-cnn","10":"product_tag-computer-vision","11":"product_tag-deep-learning","12":"product_tag-keras","13":"product_tag-object-detection","14":"product_tag-python","15":"product_tag-tensorflow","16":"product_tag-716","17":"product_tag-1834","18":"product_tag-493","19":"product_tag-29461","20":"product_tag-13201","21":"product_tag-261","22":"product_tag-674","23":"pmpro-has-access","24":"desktop-align-left","25":"tablet-align-left","26":"mobile-align-left","28":"first","29":"instock","30":"shipping-taxable","31":"purchasable","32":"product-type-variable"},"yoast_head":"<!-- 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