Cartucho/OpenLabeling
Open-source image and video annotation tool for creating bounding-box labels in formats used by object detection models.
Not currently ranked — collecting fresh signals.
star history
This tool provides a graphical interface for manually labeling objects in images and videos for computer vision training datasets. It supports export formats for PASCAL VOC (used by darkflow), YOLO darknet, and integrates with OpenCV for video tracking. Users can draw and resize bounding boxes to annotate objects, making it a utility for preparing training data for object detection models like YOLO and Siamese networks.
Frequently asked
- What is Cartucho/OpenLabeling?
- Open-source image and video annotation tool for creating bounding-box labels in formats used by object detection models.
- Is OpenLabeling open source?
- Yes — Cartucho/OpenLabeling is open source, released under the Apache-2.0 license.
- What language is OpenLabeling written in?
- Cartucho/OpenLabeling is primarily written in Python.
- How popular is OpenLabeling?
- Cartucho/OpenLabeling has 962 stars on GitHub.
- Where can I find OpenLabeling?
- Cartucho/OpenLabeling is on GitHub at https://github.com/Cartucho/OpenLabeling.