roboflow/supervision

notebooks | inference | autodistill | maestro [](https://badge.fury.io/py/supervision) [](https://pypistats.org/packages/supervision) [](LICENSE.md) [](https://badge.fury.io/py/supervision) [](https://codecov.io/gh/roboflow/supervision) [](https://security.snyk.io/package/pip/supervision) [](https://colab.research.google.com/github/roboflow/supervision/blob/main/demo.ipynb) [](https://huggingface.co/spaces/Roboflow/Annotators) [](https://discord.gg/GbfgXGJ8Bk) 📑 Table of Contents We are your essential toolkit for computer vision. From data loading to real-time zone counting, we provide the building blocks so you can focus on building applications around your models. 🤝 Pip install the supervision package in a Python>=3.10 environment. Read more about conda, mamba, and installing from source in our guide. Supervision was designed to be model agnostic. Just plug in any classification, detection, or segmentation model. For your convenience, we have created connectors for the most popular libraries like Ultralytics, Transformers, MMDetection, or Inference. Other integrations, like rfdetr, already return sv.Detections directly. Install the optional dependencies for this example with pip install pillow rfdetr. 👉 more model connectors Running with Inference requires a Roboflow API KEY. Supervision offers a wide range of highly customizable annotators, allowing you to…