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ultralytics
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ultralytics

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

by ultralytics · GitHub
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computer-visiondeep-learningimage-classificationAGPL-3.0Python
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Detect objects, track movements, and classify images using advanced AI models.

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Install
pip install ultralytics
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2026-06-272026-08-31
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Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

ultralytics has 59.6k stars on GitHub. It has been forked 11.4k times. ultralytics is written mainly in Python. It has been in active development since 2022. ultralytics is available under the AGPL-3.0 license. Its main topics are computer-vision, deep-learning, image-classification, instance-segmentation.

Frequently asked questions

What is ultralytics?

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

Is ultralytics open source?

ultralytics is an open-source project. It is released under the AGPL-3.0 license.

Is ultralytics free?

Yes. ultralytics is free and open source — you can use, modify and self-host it. Its AGPL-3.0 license is a strong copyleft: if you distribute a modified version — including offering it as a network service — your changes must be released under the same license.

What license does ultralytics use?

ultralytics is available under the AGPL-3.0 license.

What language is ultralytics written in?

ultralytics is written mainly in Python.

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