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---
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language: en
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license: mit
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tags:
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- object-detection
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- pytorch
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- fasterrcnn
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- computer-vision
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- pascalvoc
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model-index:
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- name: Faster R-CNN Object Detection (Pascal VOC)
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results:
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- task:
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type: object-detection
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name: Object Detection
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dataset:
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name: Pascal VOC 2012
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type: pascal_voc
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metrics:
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- name: mAP
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type: mean_average_precision
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value: 0.72
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---
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# Faster R-CNN Object Detection (Pascal VOC - PyTorch)
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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.
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## Model Info
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- **Architecture**: Faster R-CNN with ResNet-50 FPN
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- **Framework**: PyTorch
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- **Dataset**: Pascal VOC 2012
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- **Number of Classes**: 20 (excluding background)
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- **File Format**: `fasterrcnn_model.pth`
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## Object Classes
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```text
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['aeroplane', 'bicycle', 'bird', 'boat', 'bottle',
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'bus', 'car', 'cat', 'chair', 'cow',
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'diningtable', 'dog', 'horse', 'motorbike', 'person',
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'pottedplant', 'sheep', 'sofa', 'train', 'tvmonitor']
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