This dataset contains 13,360 elaborately annotated human instances within 5081 images. With average 0.573 MaxIoU of each person, OCHuman is the most complex and ...

Halpe is a dataset introduced in AlphaPose paper. It aims at pushing Human Understanding to the extreme. We provide detailed annotation of human keypoints, ...

The datasets below can be used to train fine-tuned models for keypoint detection. You can explore each dataset in your browser using Roboflow.

The MPII dataset annotates ankles, knees, hips, shoulders, elbows, wrists, necks, torsos, and head tops, while COCO also includes some facial keypoints.

20 февр. 2023 г. · Here are 15 of the best human pose estimation, configuration, and tracking datasets you can use for training computer vision models.

Halpe-FullBody is a full body keypoints dataset where each person has annotated 136 keypoints, including 20 for body, 6 for feet, 42 for hands and 68 for face.

The COCO-Pose dataset extends the COCO Keypoints 2017 annotations to include 17 keypoints for human figures, enabling detailed pose estimation. Standardized ...

KeypointNet is a large-scale and diverse 3D keypoint dataset that contains 83,231 keypoints and 8,329 3D models from 16 object categories, by leveraging ...

This dataset is generated by running OpenPose on subjects performing different activities (stand, walk, squat, jump) in a video. OpenPose gives the coordinates ...

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