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faster-r-cnn---object-detection's Introduction

Faster R-CNN Object Detection

This project demonstrates the use of Faster R-CNN with a ResNet-50 backbone for object detection. The implementation leverages PyTorch and Torchvision libraries to load a pre-trained model and perform inference on input images.

Features

  • Uses Faster R-CNN with ResNet-50 backbone pre-trained on COCO dataset.
  • Supports object detection on images.
  • Provides visualization of detected objects with bounding boxes.

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