Bib Number Detection is an advanced computer vision project aimed at accurately detecting and recognizing bib numbers from images and videos. This repository houses the entire project codebase, including the training dataset, model architecture, training scripts, and deployment tools. The goal is to streamline the process of identifying and cataloging athletes in races and events using automated image analysis.
- High Accuracy Detection: Utilizes state-of-the-art deep learning models for precise bib number detection and recognition.
- Real-time Processing: Capable of processing images in real-time, making it suitable for daily use.
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Clone the repository:
git clone https://github.com/yourusername/bib-number-detection.git
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Navigate to the project directory
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Install the required dependencies:
pip install -r requirements.txt
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Install react modules:
npm install
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Run the project:
npm start python app.py
Home Page:
Photgrapher Sign In:
Adding Marathon:
Showing All Marathons:
Marathon Page:
We welcome contributions from the community. To contribute, please fork the repository, create a new branch for your feature or bug fix, and submit a pull request. Make sure to follow our coding standards and include relevant tests.
Special thanks to all contributors and the open-source community for their invaluable support and resources.