U
ultralytics
ultralytics/ultralytics
Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
★60.3kstars
Python
AGPL-3.0
Updated: Today
📋 Project at a Glance
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What's this?A open-source Models project, built with Python, focusing on computer-vision and deep-learning
Who made it?Maintained by ultralytics team, 60.3K⭐ on GitHub, #14 out of 3201 in Models
Why does it exist?In the Models space, computer-vision workflows faced efficiency bottlenecks. ultralytics was built by ultralytics to address these deep-learning challenges.
What can it do?Key use cases: image-classification, instance-segmentation, machine-learning
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/ultralytics/ultralytics | 官网 https://platform.ultralytics.com
🔗 github.com/ultralytics/ultralytics | 官网 https://platform.ultralytics.com
Topics
computer-visiondeep-learningimage-classificationinstance-segmentationmachine-learningobject-detectionobject-trackingpose-estimationpythonpytorchrotated-object-detectionsegment-anythingsemantic-segmentationtrackingultralyticsyoloyolo-worldyolo11yolo26yolov8