@AYi_AInotes: A Must-Have Tool for Computer Vision Developers, Open-Source with 40k Stars on GitHub! No need to write hundreds of lines of bounding box and tracking code. Get all visualizations with a single command. Supervision, the true Swiss Army knife of CV. How powerful is it? Automatic bounding boxes with labels, supports numbering and custom styles, permanent object tracking for videos, IDs don't jump, trajectories auto-generated...

Share a must-have tool for computer vision developers — 40,000 stars on GitHub open source!

No need to write hundreds of lines of bounding box tracking code yourself.
A single command handles all visualization.
Supervision — the true Swiss Army knife of the CV world.

Just how powerful is it?

• Auto-draw boxes with labels, supports numbering and custom styles.
• Permanent video object tracking — no ID jumping, trajectories generated automatically.
• One-click conversion between YOLO / COCO / Pascal VOC dataset formats.
• Built-in heatmaps, zone counting, cross-line detection, skeleton detection, face mesh.
• Model agnostic — works with YOLO, Transformers, any detection model.

Install with one line

pip install supervision

From real-time NBA player tracking and traffic intersection vehicle counting,
to industrial defect detection and drone object tracking — every CV visualization scenario you can imagine, it handles.

Already used by 6500+ open source CV projects.

Install now — the sooner you start, the sooner you benefit.
The ultimate tool for CV prototyping and demonstrations — nothing else comes close.