Human Bodies in the Wild (HBW)
收藏OpenDataLab2026-05-31 更新2024-05-09 收录
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https://opendatalab.org.cn/OpenDataLab/Human_Bodies_in_the_Wild_HBW
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资源简介:
野外人体 (HBW) 是用于身体形状估计的验证和测试集。它由SMPL-X拓扑中的wild和ground truth 3D人体扫描中拍摄的图像组成。为了创建HBW,我们收集了35名参与者的身体扫描,并将SMPL-X模型注册到扫描中。此外,每位参与者都在白色背景前穿着各种服装和姿势拍照,并上传自己在野外拍摄的全身照片。发布验证和测试集图像。仅针对验证集释放地面真实形状。
验证 (发布图像和身体扫描):
-10名受试者/身体扫描 (6名女性,4名男性)
-781图像 (432女性,349男性)
测试 (发布图像):
-25名受试者/身体扫描 (14名女性,11名男性)
-1762图像 (983女性779男性)
Human Body in the Wild (HBW) is a validation and test set for body shape estimation. It comprises images captured from wild environments and ground-truth 3D human scans aligned with the SMPL-X topology. To construct HBW, we collected body scans from 35 participants and registered the SMPL-X model to these scans. Furthermore, each participant posed in various outfits and postures in front of a white background for studio photography, and also uploaded their full-body photos taken in real-world wild settings. Both validation and test set images are publicly released. Only the ground-truth body shapes for the validation set are made available.
Validation Set (images and body scans released):
- 10 subjects / body scans (6 female, 4 male)
- 781 images (432 female, 349 male)
Test Set (only images released):
- 25 subjects / body scans (14 female, 11 male)
- 1762 images (983 female, 779 male)
提供机构:
OpenDataLab
创建时间:
2023-02-13
搜集汇总
数据集介绍

背景与挑战
背景概述
Human Bodies in the Wild (HBW) 是一个用于3D身体形状估计的数据集,包含野外拍摄的图像和基于SMPL-X拓扑的真实扫描。它分为验证集和测试集,验证集有10名受试者的781张图像和扫描,测试集有25名受试者的1762张图像。
以上内容由遇见数据集搜集并总结生成



