{"data":{"slug":"ultralytics-ultralytics","name":"ultralytics","tagline":"Ultralytics YOLOv8: Object Detection, Instance Segmentation, Semantic Segmentation, Image Classification, Pose Estimation, Object Tracking","github_url":"https://github.com/ultralytics/ultralytics","owner":"ultralytics","repo":"ultralytics","owner_avatar_url":"https://avatars.githubusercontent.com/u/26833451?v=4","primary_language":"Python","stars":59221,"forks":11337,"topics":["computer-vision","deep-learning","image-classification","instance-segmentation","machine-learning","object-detection","object-tracking","pose-estimation","python","pytorch","rotated-object-detection","segment-anything","semantic-segmentation","tracking","ultralytics","yolo","yolo-world","yolo11","yolo26","yolov8"],"archived":false,"github_pushed_at":"2026-07-07T19:36:24+00:00","url":"https://www.graphcanon.com/tools/ultralytics-ultralytics","markdown_url":"https://www.graphcanon.com/tools/ultralytics-ultralytics.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ultralytics-ultralytics","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ultralytics-ultralytics","description":"Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking","homepage_url":"https://platform.ultralytics.com","license":"AGPL-3.0","open_issues":199,"watchers":262,"ai_summary":"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.","readme_excerpt":"<div align=\"center\">\n  <p>\n    <a href=\"https://platform.ultralytics.com/?utm_source=github&utm_medium=referral&utm_campaign=platform_launch&utm_content=banner&utm_term=ultralytics_github\" target=\"_blank\">\n      <img width=\"100%\" src=\"https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png\" alt=\"Ultralytics YOLO banner\"></a>\n  </p>\n\n[中文](https://docs.ultralytics.com/zh) | [한국어](https://docs.ultralytics.com/ko) | [日本語](https://docs.ultralytics.com/ja) | [Русский](https://docs.ultralytics.com/ru) | [Deutsch](https://docs.ultralytics.com/de) | [Français](https://docs.ultralytics.com/fr) | [Español](https://docs.ultralytics.com/es) | [Português](https://docs.ultralytics.com/pt) | [Türkçe](https://docs.ultralytics.com/tr) | [Tiếng Việt](https://docs.ultralytics.com/vi) | [العربية](https://docs.ultralytics.com/ar) <br>\n\n<div>\n    <a href=\"https://github.com/ultralytics/ultralytics/actions/workflows/ci.yml\"><img src=\"https://github.com/ultralytics/ultralytics/actions/workflows/ci.yml/badge.svg\" alt=\"Ultralytics CI\"></a>\n    <a href=\"https://clickpy.clickhouse.com/dashboard/ultralytics\"><img src=\"https://static.pepy.tech/badge/ultralytics\" alt=\"Ultralytics Downloads\"></a>\n    <a href=\"https://discord.com/invite/ultralytics\"><img alt=\"Ultralytics Discord\" src=\"https://img.shields.io/discord/1089800235347353640?logo=discord&logoColor=white&label=Discord&color=blue\"></a>\n    <a href=\"https://community.ultralytics.com/\"><img alt=\"Ultralytics Forums\" src=\"https://img.shields.io/discourse/users?server=https%3A%2F%2Fcommunity.ultralytics.com&logo=discourse&label=Forums&color=blue\"></a>\n    <a href=\"https://www.reddit.com/r/ultralytics/\"><img alt=\"Ultralytics Reddit\" src=\"https://img.shields.io/reddit/subreddit-subscribers/ultralytics?style=flat&logo=reddit&logoColor=white&label=Reddit&color=blue\"></a>\n    <br>\n    <a href=\"https://console.paperspace.com/github/ultralytics/ultralytics\"><img src=\"https://assets.paperspace.io/img/gradient-badge.svg\" alt=\"Run Ultralytics on Gradient\"></a>\n    <a href=\"https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/tutorial.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open Ultralytics In Colab\"></a>\n    <a href=\"https://www.kaggle.com/models/ultralytics/yolo26\"><img src=\"https://kaggle.com/static/images/open-in-kaggle.svg\" alt=\"Open Ultralytics In Kaggle\"></a>\n    <a href=\"https://mybinder.org/v2/gh/ultralytics/ultralytics/HEAD?labpath=examples%2Ftutorial.ipynb\"><img src=\"https://mybinder.org/badge_logo.svg\" alt=\"Open Ultralytics In Binder\"></a>\n</div>\n</div>\n<br>\n\n<div align=\"center\">\n  <a href=\"https://trendshift.io/repositories/1556?utm_source=repository-badge&amp;utm_medium=badge&amp;utm_campaign=badge-repository-1556\" target=\"_blank\" rel=\"noopener noreferrer\"><img src=\"https://trendshift.io/api/badge/repositories/1556\" alt=\"ultralytics%2Fultralytics | Trendshift\" width=\"250\" height=\"55\"/></a>\n</div>\n<br>\n\n[Ultralytics](https://www.ultralytics.com/) creates cutting-edge, state-of-the-art (SOTA) [YOLO models](https://www.ultralytics.com/yolo) 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](https://docs.ultralytics.com/tasks/detect), [tracking](https://docs.ultralytics.com/modes/track), [instance segmentation](https://docs.ultralytics.com/tasks/segment), [semantic segmentation](https://docs.ultralytics.com/tasks/semantic), [image classification](https://docs.ultralytics.com/tasks/classify), and [pose estimation](https://docs.ultralytics.com/tasks/pose) tasks.\n\nFind detailed documentation in the [Ultralytics Docs](https://docs.ultralytics.com/). Get support via [GitHub Issues](https://github.com/ultralytics/ultralytics/issues/new/choose). Join discussions on [Discord](https://discord.com/invite/ultralytics), [Reddit](https://www.reddit.com/r/ultralytics/","github_created_at":"2022-09-11T16:39:45+00:00","created_at":"2026-07-07T22:37:56.899158+00:00","updated_at":"2026-07-07T22:37:58.602102+00:00","categories":[{"slug":"computer-vision","name":"Computer Vision","url":"https://www.graphcanon.com/categories/computer-vision","markdown_url":"https://www.graphcanon.com/categories/computer-vision.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/computer-vision"}],"tags":[{"slug":"deep-learning","name":"deep-learning"},{"slug":"object-detection","name":"object-detection"},{"slug":"machine-learning","name":"machine-learning"},{"slug":"image-classification","name":"image-classification"},{"slug":"pose-estimation","name":"pose-estimation"},{"slug":"object-tracking","name":"object-tracking"},{"slug":"instance-segmentation","name":"instance-segmentation"},{"slug":"computer-vision","name":"computer-vision"}]}}