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👋 Hello @bbhxwl, thank you for your interest in Ultralytics 🚀! We recommend a visit to the Docs for new users where you can find many Python and CLI usage examples and where many of the most common questions may already be answered. If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it. If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results. Behavior detection is a unique challenge and may require advanced workflows or post-processing techniques in combination with YOLO object detection. Join the Ultralytics community where it suits you best. For real-time chat, head to Discord 🎧. Prefer in-depth discussions? Check out Discourse. Or dive into threads on our Subreddit to share knowledge with the community. UpgradeUpgrade to the latest pip install -U ultralytics EnvironmentsYOLO may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
StatusIf this badge is green, all Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLO Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit. This is an automated response to your query, but don’t worry—an Ultralytics engineer will also assist you soon 🙂 |
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@bbhxwl yOLO models can detect persons as objects and estimate their pose/keypoints using our pose models (https://docs.ultralytics.com/tasks/pose). For fall detection specifically, you'd need to analyze pose sequences over time using temporal analysis techniques on top of object/pose detection outputs. This typically requires additional logic beyond standard object detection. |
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Can YOLO do behavior detection? Can only detect objects
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