Update docs metadata (#3781)
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---
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comments: true
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description: Learn how to format your dataset for training YOLO models with Ultralytics YOLO format using our concise tutorial and example YAML files.
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keywords: pose estimation, datasets, supported formats, YAML file, object class index, keypoints, ultralytics YOLO format
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description: Understand the YOLO pose dataset format and learn to use Ultralytics datasets to train your pose estimation models effectively.
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keywords: Ultralytics, YOLO, pose estimation, datasets, training, YAML, keypoints, COCO-Pose, COCO8-Pose, data conversion
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---
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# Pose Estimation Datasets Overview
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@ -125,4 +125,4 @@ from ultralytics.data.converter import convert_coco
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convert_coco(labels_dir='../coco/annotations/', use_keypoints=True)
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```
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This conversion tool can be used to convert the COCO dataset or any dataset in the COCO format to the Ultralytics YOLO format. The `use_keypoints` parameter specifies whether to include keypoints (for pose estimation) in the converted labels.
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This conversion tool can be used to convert the COCO dataset or any dataset in the COCO format to the Ultralytics YOLO format. The `use_keypoints` parameter specifies whether to include keypoints (for pose estimation) in the converted labels.
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