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Glenn Jocher
2023-07-17 12:40:04 +02:00
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docs/datasets/pose/coco.md
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---
comments: true
description: Learn about the COCO-Pose dataset, designed to encourage research on pose estimation tasks with standardized evaluation metrics.
keywords: COCO-Pose, COCO dataset, pose estimation, keypoints detection, computer vision, deep learning, YOLOv8n-pose, dataset configuration
description: Detailed guide on the special COCO-Pose Dataset in Ultralytics. Learn about its key features, structure, and usage in pose estimation tasks with YOLO.
keywords: Ultralytics YOLO, COCO-Pose Dataset, Deep Learning, Pose Estimation, Training Models, Dataset YAML, openpose, YOLO
---
# COCO-Pose Dataset

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docs/datasets/pose/coco8-pose.md
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---
comments: true
description: Test and debug object detection models with Ultralytics COCO8-Pose Dataset - a small, versatile pose detection dataset with 8 images.
keywords: coco8-pose dataset, ultralytics, object detection, pose detection, yolo, hub
description: Discover the versatile COCO8-Pose dataset, perfect for testing and debugging pose detection models. Learn how to get started with YOLOv8-pose model training.
keywords: Ultralytics, YOLOv8, pose detection, COCO8-Pose dataset, dataset, model training, YAML
---
# COCO8-Pose Dataset

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docs/datasets/pose/index.md
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---
comments: true
description: Learn how to format your dataset for training YOLO models with Ultralytics YOLO format using our concise tutorial and example YAML files.
keywords: pose estimation, datasets, supported formats, YAML file, object class index, keypoints, ultralytics YOLO format
description: Understand the YOLO pose dataset format and learn to use Ultralytics datasets to train your pose estimation models effectively.
keywords: Ultralytics, YOLO, pose estimation, datasets, training, YAML, keypoints, COCO-Pose, COCO8-Pose, data conversion
---
# Pose Estimation Datasets Overview
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convert_coco(labels_dir='../coco/annotations/', use_keypoints=True)
```
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.
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.