coco-2017-dataset

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sarojinisharon / Object-Detection-with-Faster-R-CNN

This project focuses on real-time object detection and tracking using the Faster R-CNN model, emphasizing accuracy over speed. It utilizes the COCO 2017 dataset for training, which contains diverse and complex images. The Faster R-CNN model is integrated with FiftyOne for visualizing predictions and ground truth annotations. A custom CentroidTracke

python machine-learning object-detection object-tracking r-cnn data-science-projects pytorch-implementation model-optimization coco-2017-dataset dataset-handling