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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.

Updated 5/13/2024
github

Description

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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Topics

3D Pose Estimation
Computer Vision

Source

Organization: github

Created: 10/8/2022

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