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Goutham204/
Object_detection

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Faster R-CNN Object Detection (Pascal VOC - PyTorch)

This repository contains a custom-trained Faster R-CNN object detection model using PyTorch. The model is trained on the Pascal VOC 2012 dataset and detects 20 common object classes in images by drawing bounding boxes with confidence scores.

Model Info

Architecture: Faster R-CNN with ResNet-50 FPN
Framework: PyTorch
Dataset: Pascal VOC 2012
Number of Classes: 20 (excluding background)
File Format: objectdetection_model.pth

Object Classes

text

['aeroplane', 'bicycle', 'bird', 'boat', 'bottle',
 'bus', 'car', 'cat', 'chair', 'cow',
 'diningtable', 'dog', 'horse', 'motorbike', 'person',
 'pottedplant', 'sheep', 'sofa', 'train', 'tvmonitor']

Goutham204/Object_detection

Faster R-CNN Object Detection (Pascal VOC - PyTorch)

Model Info

Object Classes

Goutham204/
Object_detection