Package · PyPI
PyPI · v8.4.184 · AGPL-3.0
Ultralytics YOLO 🚀 for SOTA object detection, instance segmentation, semantic segmentation, depth estimation, classification, pose estimation, oriented object detection, and multi-object tracking.
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
pip install ultralyticsPyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
In the Crest catalog
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
>=3.3.0>=1.23.0>=12.0.0!=4.13.0.90,>=4.7.0>=7.1.2>=0.20.0>=5.8.0>=5.3.1>=2.23.0>=1.8.0>=0.9.0>=0.1.45>=2.2.3No published news event mentions this package or its repository yet.