Supervision
Reusable computer vision tools for detection, tracking, and annotation by Roboflow.
About
Supervision, from Roboflow, is an open-source Python library of reusable computer vision utilities that sit around whatever detection or segmentation model you already run. It converts predictions from Ultralytics YOLO, Hugging Face Transformers, MMDetection, SAM, and other frameworks into a common Detections object, then layers on the pieces most vision applications need: configurable annotators for boxes, masks, and labels, object tracking, polygon zone counting, line crossing detection, heatmaps, and speed estimation. A dataset API loads, splits, merges, and converts data across YOLO, COCO, and Pascal VOC formats. Requiring Python 3.10 or newer and installable with pip, the MIT-licensed library is meant to eliminate the glue code that otherwise gets rewritten for every project, and it shows up in production systems from retail analytics to traffic monitoring as well as in prototypes and tutorials built by computer vision engineers.
Reviews (0)
Leave a Review
No reviews yet. Be the first to review!
Details
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Beginner (1/5)
- License
- MIT
- Added
- Apr 3, 2026
Related Tools
Contrastive language-image pre-training model by OpenAI for zero-shot visual classification.
Lightweight face recognition and analysis framework wrapping multiple models.
Foundation model for monocular depth estimation by TikTok.
Monocular depth estimation model producing detailed depth maps from single images.
Meta AI research platform for object detection, segmentation, and pose estimation.
Simple and effective multi-object tracking using every detection box.