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The project aimed at understanding various object detection algorithms architectures and their functioning namely r-cnn, masked r-cnn, yolov5, yolov7 and swin transformer. Yolov7 algorithm was trained on pascal dataset and an map(0.5) Of 58.1% Was achieved for 250 epoch. The algorithms were tested and analyzed for speed, accuracy and other metrics.
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