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.

Batch-produced, GIS-informed range maps for birds based on provenanced, crowd-sourced data inform conservation assessments

Mathematics October-1 2022 - Browse Articles

Human3.6M Benchmark (2D Pose Estimation)

KU Today & Tomorrow 2022-2023 by Sunflower Publishing - Issuu

SHAPY

APPS Dataset Papers With Code

arxiv-sanity

A global database of bird nest traits

Waymo Open Dataset Benchmark (3D Object Detection From Monocular Images)

Machine Learning Datasets