HBW Dataset Papers With Code

Human Bodies in the Wild (HBW) is a validation and test set for body shape estimation. It consists of images taken in the wild and ground truth 3D body scans in SMPL-X topology. To create HBW, we collect body scans of 35 participants and register the SMPL-X model to the scans. Further each participant is photographed in various outfits and poses in front of a white background and uploads full-body photos of themselves taken in the wild. The validation and test set images are released. The ground truth shape is only released for the validation set.

Machine Learning Datasets

1. Introduction to Research Investigations, Producing Transportation Data Products from the American Community Survey That Comply With Disclosure Rules

Report on the Pan-European Common Bird Monitoring Scheme, June 2021

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Global patterns of climate change impacts on desert bird communities

Unlocking location intelligence through geospatial analysis: an introductory guide (Part 2), by Roger Antonio

Frontiers A Practical Guide to Sparse k-Means Clustering for Studying Molecular Development of the Human Brain

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Spatial Congruence Analysis (SCAN): A method for detecting biogeographical patterns based on species range congruences

Attention Based Glaucoma Detection: A Large-scale Database and CNN Model

MPII Human Pose Database

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