https://github.com/ultralytics/json2yolo

Convert JSON annotations into YOLO format.
https://github.com/ultralytics/json2yolo

coco darknet dataset json label labelbox ultralytics yolo yolov3 yolov5

Last synced: about 6 hours ago
JSON representation

Convert JSON annotations into YOLO format.

• Host: GitHub
• URL: https://github.com/ultralytics/json2yolo
• Owner: ultralytics
• License: agpl-3.0
• Created: 2019-05-11T11:08:54.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2024-12-07T22:22:44.000Z (15 days ago)
• Last Synced: 2024-12-15T22:00:08.490Z (7 days ago)
• Topics: coco, darknet, dataset, json, label, labelbox, ultralytics, yolo, yolov3, yolov5
• Language: Python
• Homepage: https://docs.ultralytics.com
• Size: 101 KB
• Stars: 887
• Watchers: 8
• Forks: 232
• Open Issues: 60
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        





# 🚀 Introduction

Welcome to the [COCO2YOLO](https://github.com/ultralytics/JSON2YOLO) repository! This toolkit is designed to help you convert datasets in JSON format, following the COCO (Common Objects in Context) standards, into YOLO (You Only Look Once) format, which is widely recognized for its efficiency in real-time object detection tasks.

This process is essential for machine learning practitioners looking to train object detection models using the Darknet framework. Our code is flexible and can be utilized across various platforms including Linux, MacOS, and Windows.

[![Ultralytics Actions](https://github.com/ultralytics/JSON2YOLO/actions/workflows/format.yml/badge.svg)](https://github.com/ultralytics/JSON2YOLO/actions/workflows/format.yml)   

# ⚙️ Requirements

To get started with COCO2YOLO, you'll need a Python environment running version 3.8 or later. Additionally, you'll need to install all the necessary dependencies listed in our [requirements.txt](https://github.com/ultralytics/JSON2YOLO/blob/main/requirements.txt) file. You can install these dependencies using the following pip command in your terminal:

```bash

$ pip install -r requirements.txt # Installs all the required packages

```

# 📚 Citation

If you find our tool useful for your research or development, please consider citing it:

[![DOI](https://zenodo.org/badge/186122711.svg)](https://zenodo.org/badge/latestdoi/186122711)

# 🤝 Contribute

We welcome contributions from the community! Whether you're fixing bugs, adding new features, or improving documentation, your input is invaluable. Take a look at our [Contributing Guide](https://docs.ultralytics.com/help/contributing/) to get started. Also, we'd love to hear about your experience with Ultralytics products. Please consider filling out our [Survey](https://www.ultralytics.com/survey?utm_source=github&utm_medium=social&utm_campaign=Survey). A huge 🙏 and thank you to all of our contributors!





# ©️ License

Ultralytics is excited to offer two different licensing options to meet your needs:

- **AGPL-3.0 License**: Perfect for students and hobbyists, this [OSI-approved](https://opensource.org/license) open-source license encourages collaborative learning and knowledge sharing. Please refer to the [LICENSE](https://github.com/ultralytics/ultralytics/blob/main/LICENSE) file for detailed terms.

- **Enterprise License**: Ideal for commercial use, this license allows for the integration of Ultralytics software and AI models into commercial products without the open-source requirements of AGPL-3.0. For use cases that involve commercial applications, please contact us via [Ultralytics Licensing](https://www.ultralytics.com/license).

# 📬 Contact Us

For bug reports, feature requests, and contributions, head to [GitHub Issues](https://github.com/ultralytics/JSON2YOLO/issues). For questions and discussions about this project and other Ultralytics endeavors, join us on [Discord](https://discord.com/invite/ultralytics)!