---
language: en
license: mit
tags:
  - object-detection
  - pytorch
  - fasterrcnn
  - computer-vision
  - pascalvoc
model-index:
  - name: Faster R-CNN Object Detection (Pascal VOC)
    results:
      - task:
          type: object-detection
          name: Object Detection
        dataset:
          name: Pascal VOC 2012
          type: pascal_voc
        metrics:
          - name: mAP
            type: mean_average_precision
            value: 0.72
---

# 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']