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Dataset assetOpen Source CommunityComputer Vision3D Pose Estimation
H3WB: Human3.6M 3D WholeBody Dataset
H3WB is a large‑scale 3D full‑body pose estimation dataset, an extension of the Human3.6M dataset, containing 133 full‑body keypoints (17 body, 6 foot, 68 face, 42 hand) annotated on 100,000 images. The skeleton layout matches that of the COCO‑WholeBody dataset.
Source
github
Created
Oct 8, 2022
Updated
May 13, 2024
Signals
652 views
Availability
Linked source ready
Overview
Dataset description and usage context
H3WB Dataset Overview
Dataset Description
- Name: H3WB: Human3.6M 3D WholeBody Dataset and Benchmark
- Type: Large‑scale 3D full‑body pose estimation dataset
- Extended From: Human3.6M dataset
- Content: 133 full‑body keypoints (17 body, 6 foot, 68 face, 42 hand) annotated on 100,000 images
- Keypoint Layout: Same as COCO‑WholeBody dataset
Dataset Download
- Images: Available from the Human3.6M official website
- Annotations: Downloadable from the specified link, default location
datasets/json/ - Formatted Data: A common format download is provided together with data‑preparation scripts, recommended for experiments
Annotation Format
- Each JSON file contains sample ID, image path, bounding box, 2D keypoints, and 3D keypoint information
Pre‑trained Models
- The dataset includes pre‑trained models used to generate the data; implementations are located in the
models/directory
Tasks
- 2D → 3D: From complete 2D full‑body to 3D full‑body
- I2D → 3D: From incomplete 2D full‑body to 3D full‑body
- RGB → 3D: From image to 3D full‑body prediction
Evaluation
- Test Set: Published, includes 2D→3D and I2D→3D test sets, each containing 10,000 {image, 2D coordinates, 3D coordinates} triples
- Validation: No dedicated validation set; 5‑fold cross‑validation results are encouraged
Citation Information
- Please follow the BibTeX entry in the README for proper citation
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