ultralytics

by ultralytics · Machine Learning

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classificatio

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Machine LearningAI ApplicationPythonShell
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About this project

中文 한국어 日本語 Русский Deutsch Français Español Português Türkçe Tiếng Việt العربية Ultralytics creates cutting-edge, state-of-the-art (SOTA) YOLO models built on years of foundational research in computer vision and AI. Constantly updated for performance and flexibility, our models are fast, accurate, and easy to use. They excel at object detection, instance segmentation, semantic segmentation, depth estimation, image classification, and pose estimation tasks, and can track detected objects across video frames. Find detailed documentation in the Ultralytics Docs. Get support via GitHub Issues. Join discussions on Discord, Reddit, and the Ultralytics…

Technologies

ShellPythonHTMLdeep-learningDockerfilecomputer-visionimage-classification

Project health

Actively maintained
Last update2 days ago
Contributors445
Latest releasev8.4.142
Open issues & PRs68
LicenseAGPL-3.0
On GitHubsince 2022

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