Jesse A. Green / notebook

ultralytics/yolov5

YOLOv5 is a family of compound-scaled object detection models built on PyTorch, supporting object detection, instance segmentation, and image classification.

Generated May 2026 from ultralytics/yolov5 at 66554d2

AI-generated documentation. The library is checked by sampling (three repositories so far); this guide was not individually reviewed. Verify against the project before relying on it.

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Built from the public repository github.com/ultralytics/yolov5 at commit 66554d2. Upstream may have moved on since.

Unofficial; not affiliated with or reviewed by the project. How the guides were made, and how they were checked: guide library.