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A PyTorch implementation of YOLO (You Only Look Once) for object detection on PASCAL VOC 2007. This project features a custom YOLO loss function working with a pre-trained ResNet50 backbone for transfer learning. The model detects 20 object categories with bounding boxes and confidence scores, achieving a minimum mAP of 0.5 after training.
Aryanag2/YOLO-PASCAL-VOC-Detection
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A PyTorch implementation of YOLO (You Only Look Once) for object detection on PASCAL VOC 2007. This project features a custom YOLO loss function working with a pre-trained ResNet50 backbone for transfer learning. The model detects 20 object categories with bounding boxes and confidence scores, achieving a minimum mAP of 0.5 after training.
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