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| true | About Supervision, Roboflow's open-source Python library for building reusable computer vision workflows. |
About Supervision
Supervision is an open-source Python library by Roboflow for building computer vision applications. It gives developers a model-agnostic toolkit for loading predictions, annotating images and video, tracking objects, counting detections in zones, processing datasets, and evaluating model performance.
The project centers on a unified Detections API with converters for supported outputs from Ultralytics, Roboflow Inference, Hugging Face Transformers, SAM, Detectron2, MMDetection, YOLO-NAS, PaddleDet, NCNN, Azure AI Vision, and VLM parsers such as Florence-2, PaliGemma, Qwen VL, Gemini, DeepSeek VL 2, and Moondream. That common representation lets teams change models without rewriting annotation, filtering, tracking, dataset, or metrics code.
Supervision is maintained by Roboflow and an open-source contributor community. The library is MIT licensed, developed in public on GitHub, and published on PyPI.
Project Links
- Source code: github.com/roboflow/supervision
- Package: pypi.org/project/supervision
- Community: Roboflow Discord
- Roboflow: roboflow.com
Maintainers and Contributors
Supervision has been shaped by Roboflow engineers and community contributors, including Piotr Skalski, Borda, onuralpszr, Soumik Mandal, and many others. The complete contributor history is available in the GitHub repository.
Citation
If Supervision helps your research or production system, cite the project using the citation block in llms.txt or link to the GitHub repository.