Ultralytics
datasets/pose/hand-keypoints/ #16544
giscus[bot]
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Replies: 5 comments 14 replies
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train: WARNING |
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Thank you for bringing this to our attention. We'll review the dataset annotations for any inconsistencies. If you have further questions, feel free to ask here. |
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seem like the issue has not been fixed, i am still get the errors, will it affect training results? |
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The warnings won't affect training results if the majority of your dataset is intact. We'll review the dataset annotations for any issues. For further details, please refer to the hand-keypoints documentation. |
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In fact, the official dataset has 5% incorrect labels. |
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Thank you for pointing this out. We will investigate and address any labeling issues in the Hand Keypoints dataset as soon as possible. Meanwhile, you may exclude problematic samples or adjust the annotations for your use case to ensure optimal training results. |
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👋 Hello, thank you for your interest in Ultralytics 🚀! It looks like you're exploring hand keypoints estimation datasets for advanced pose estimation. You can find detailed information and resources in our documentation. If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it. An Ultralytics engineer will also assist you soon. For custom training ❓ questions, please share your dataset, any relevant training logs, and ensure you're following our Tips for Best Training Results. Join our lively community discussions:
UpgradeMake sure you're using the latest version of pip install -U ultralyticsEnvironmentsRun YOLOv8 in any of these supported environments with preinstalled dependencies:
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If the badge is green, all Ultralytics CI tests are currently passing, indicating correct operation on macOS, Windows, and Ubuntu across all modes and tasks. |
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In yolov8-pose, what effect does the number of key points have on the detection results? Less key points, better results or more key points, better results? Now I want to identify the basket in the field, do I identify the four corner points on the top of the basket or the eight corner points on the basket? |
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@chengziNaomi the number of keypoints can affect detection results based on your specific application. For identifying a basket, consider the complexity and precision needed. Using more keypoints might provide better detail, but it depends on your use case. For further guidance, you can explore the hand keypoints documentation at Ultralytics Docs. |
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Thank you for your reply. I have one more question. Why is the ratio of train and valid about 2:1 in this hand |
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The dataset split ratios are often determined by the specific requirements of the task and dataset characteristics. For hand keypoints, a 2:1 ratio might balance training and validation needs effectively, while segmentation tasks might use a 10:1:1 ratio to ensure sufficient data for training, validation, and testing. These choices are not specific to YOLOv8-pose but are tailored to optimize model performance for each dataset type. |
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Thank you very much! I want to add negative samples to the datasets, what is the way for yolov8-pose to add negative samples?All I need to do is add the background image and blank txt text to train and val，right？ |
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To add negative samples in YOLOv8-pose, you can include background images with corresponding blank |
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I trained a model using this tutorial so you don't have to!Feel free to use it as you wish:https://github.com/chrismuntean/YOLO11n-pose-hands |
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@chrismuntean thank you for sharing your model! It's great to see community contributions that enhance the use of YOLO11 for pose estimation tasks. |
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In fact, the official dataset has 5% incorrect labels. |
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Thank you for pointing that out. If the dataset contains mislabeled annotations, you may need to inspect and correct them before training to ensure optimal performance. For further details, you can review the dataset configuration and annotations provided in the hand-keypoints.yaml. Let us know if you encounter any specific issues during training. |
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datasets/pose/hand-keypoints/
Explore the hand keypoints estimation dataset for advanced pose estimation. Learn about datasets, pretrained models, metrics, and applications for training with YOLO.
https://docs.ultralytics.com/datasets/pose/hand-keypoints/
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