Pylabel: Bounding Box Annotation Conversion for COCO and YOLO

Focusing on COCO and YOLO label types, this resource provides a Python-based framework for managing computer vision bounding box annotations. It was developed by the pylabel-project and last updated in August 2024 to facilitate format translation.

Use Cases

• Converting COCO JSON annotations into YOLO text files for training object detection models
• Standardizing bounding box coordinates across different labeling tool outputs
• Parsing class labels from computer vision annotation files using the library's internal data structures

Strengths

• Supports translation between COCO, YOLO, and VOC formats
• Released under the MIT License for open use
• Maintained repository with updates as recent as August 2024

Limitations

• Functionality is provided as a software library rather than a static collection of images
• Requires a Python environment and dependency management to access data structures

Provenance

Source

pylabel-project on GitHub

Freshness

Last updated August 2024.