Introduction to JSON2YOLO
The JSON2YOLO project is an innovative toolkit designed to assist machine learning practitioners in converting datasets. Specifically, it transforms data from JSON format, adhering to the COCO (Common Objects in Context) standards, into YOLO (You Only Look Once) format. YOLO is highly recognized for its efficiency in real-time object detection tasks, making this conversion essential for those aiming to train models using the Darknet framework. JSON2YOLO is adaptable and can be utilized on various operating systems such as Linux, MacOS, and Windows.
Requirements
To use the JSON2YOLO tool, one must have Python installed, version 3.8 or later. Additionally, users need to install certain dependencies listed in the requirements.txt file from the project repository. Installing these is straightforward and can be done using the pip command:
$ pip install -r requirements.txt # Installs all the required packages
This setup ensures that all necessary components are in place for the smooth operation of JSON2YOLO.
How to Contribute
The JSON2YOLO project welcomes contributions from the community. Whether one is interested in fixing bugs, adding new features, or enhancing documentation, contributions are highly valued. Potential contributors can get started by reviewing the project's Contributing Guide. Sharing experiences with Ultralytics products is also encouraged through a brief survey.
License Information
Ultralytics offers two licensing options for users of JSON2YOLO:
- AGPL-3.0 License: This open-source license is great for students and hobbyists, encouraging collaborative learning and sharing of knowledge.
- Enterprise License: Suitable for commercial applications, this license allows integration of Ultralytics software and AI models into products without adhering to open-source requirements.
For detailed terms or inquiries about commercial use, users are advised to contact Ultralytics through their Licensing page.
Contact and Community
For bug reports, feature requests, or contributions, users can visit the project's GitHub Issues page. For broader discussions about this or other Ultralytics projects, the Ultralytics Discord community is an excellent resource.
With its easy-to-use setup, open community for contributions, and flexible licensing options, JSON2YOLO positions itself as a valuable tool for anyone involved in object detection model training.