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Ultralytics YOLOv8: Object Detection, Instance Segmentation, Semantic Segmentation, Image Classification, Pose Estimation, Object Tracking

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Python AGPL-3.0Created Sep 11, 2022

Overview

Repository for Ultralytics' YOLO (You Only Look Once) series of models including versions YOLO26 and YOLOv8. Offers extensive capabilities in computer vision tasks such as object detection, segmentation, classification, and more.

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ultralytics%2Fultralytics | Trendshift

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, tracking, instance segmentation, semantic segmentation, image classification, and pose estimation tasks.

Find detailed documentation in the Ultralytics Docs. Get support via GitHub Issues. Join discussions on Discord, [Reddit](https://www.reddit.com/r/ultralytics/

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