In the YOLOV8-Pose model, the body is partially occluded. Can the joints still be identified? about ultralytics HOT 3 CLOSED

@HXB-1997 hello,

Thank you for your question and for checking the existing issues and discussions before posting.

The YOLOv8-Pose model is designed to estimate keypoints even when some parts of the body are occluded. However, the accuracy of detecting joints on a completely blocked arm will depend on several factors, including the extent of occlusion, the visibility of other body parts, and the context provided by the surrounding environment.

In general, the model uses visible keypoints and contextual information to make educated guesses about the positions of occluded joints. While it can often identify occluded joints with a certain probability, the confidence in these predictions may be lower compared to fully visible joints.

If you have specific images or scenarios where the model's performance is critical, I recommend testing the model with those examples to see how it performs. If you encounter any issues or have further questions, feel free to share a minimum reproducible example with us. This will help us better understand your use case and provide more targeted assistance. You can find guidelines for creating a minimum reproducible example here.

from ultralytics.

Thank you very much, your help has been very useful to me.

from ultralytics.

@HXB-1997 you're very welcome! 😊 I'm glad to hear that the information was helpful to you.

If you have any more questions or run into any issues, feel free to reach out. The YOLO community and the Ultralytics team are here to support you. Happy coding! 🚀

from ultralytics.