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The repository is a diverse collection of object detection and classification projects, offering various implementations and models for identifying and categorizing objects in images or videos. It serves as a valuable resource for learning, experimentation, and benchmarking in the field of computer vision.

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Navarambhah (नवारंभः) - "The New Beginning"

The repository is a diverse collection of object detection and classification projects, showcasing a wide range of implementations and models to identify and categorize objects within images or videos. It serves as a comprehensive resource for individuals interested in exploring various approaches to computer vision tasks, providing a platform for learning, experimentation, and benchmarking different algorithms and techniques in the field of object detection and classification.


Contributing Guidelines

Thank you for considering contributing to this project! Please take a moment to review the following guidelines.

How to Contribute

  1. Fork the repository and create your branch from main.
  2. Clone the forked repository to your local machine.
  3. Make your changes and test them thoroughly.
  4. Ensure your code follows the project's coding style and conventions.
  5. Commit your changes with clear and concise messages.
  6. Push your commits to your fork on GitHub.
  7. Submit a pull request to the main repository's main branch.

Code Style and Guidelines

  • Follow the coding style guide and guidelines established for this project.
  • Ensure your code is well-documented and includes appropriate comments where necessary.

Reporting Bugs

  • Use the issue tracker to report any bugs or problems you encounter.
  • Provide detailed information about the issue, including steps to reproduce it.

Suggesting Enhancements

  • Use the issue tracker to suggest enhancements or new features.
  • Clearly describe the proposed addition or change.

Pull Request Guidelines

  • Keep pull requests focused on a single issue or feature.
  • Provide a clear and detailed description of the changes.
  • Include relevant tests for your changes.
  • Ensure your code passes all existing tests.
  • Be responsive to any feedback or questions during the review process.

Code of Conduct

  • Treat all contributors and users with respect and kindness.
  • Harassment or discriminatory behavior will not be tolerated.

License

By contributing to this project, you agree that your contributions will be licensed under the project's LICENSE.

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The repository is a diverse collection of object detection and classification projects, offering various implementations and models for identifying and categorizing objects in images or videos. It serves as a valuable resource for learning, experimentation, and benchmarking in the field of computer vision.

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