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Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
pip install ultralytics-dev
PyPI declares 26 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=3.2.2>=1.22.2>=4.6.0>=7.1.2>=5.3.1>=2.23.0>=1.4.1>=1.8.0>=0.9.0>=4.64.0>=1.1.4>=0.11.0The compact report shows 25 of 26 declarations. The interactive dependency graph loads the complete metadata.
ultralytics-dev publishes 1 wheel and 1 source archive for version 0.0.55. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.8, 3.9.
PyPI lists 47 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .