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This repository contains the implementation of an object detection model using MobileNet as the backbone architecture, trained on the PASCAL VOC 2012 dataset.

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Object Detection Project

This repository contains the implementation of an object detection model using MobileNet as the backbone architecture, trained on the PASCAL VOC 2012 dataset.

Project Structure

project/
├── src/                     # Source code files
├── weights/                 # Model weights
├── outputs/                 # Demo outputs
├── docs/                    # Documentation
│   ├── metrics.md          # Evaluation metrics
│   ├── demo.md             # Demo documentation
│   └── report.md           # Experience report
├── requirements.txt         # Dependencies
└── README.md               # This file

Setup Instructions

  1. Clone the repository
  2. Install dependencies:
pip install -r requirements.txt

Model Details

  • Architecture: MobileNet backbone
  • Dataset: PASCAL VOC 2012
  • Task: Object Detection

Results

  • See metrics.md for detailed performance metrics
  • See demo.md for test results and example outputs
  • Check the report.md for implementation details and experience report

Usage

Running Inference

[Add instructions for running inference on new images]

Training

[Add instructions if training code is included]

Documentation

License

[Add appropriate license information]

About

This repository contains the implementation of an object detection model using MobileNet as the backbone architecture, trained on the PASCAL VOC 2012 dataset.

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