datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MPII_Human_Pose_Dataset
Dataset Card for MPII Human Pose
MPII Human Pose dataset is a state of the art benchmark for evaluation of articulated human pose estimation.
The dataset includes around 25K images containing over 40K people with annotated body joints.
The images were systematically collected using an established taxonomy of every day human activities.
Overall the dataset covers 410 human activities and each image is provided with an activity label.
Each image was extracted from a YouTube… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/MPII_Human_Pose_Dataset.synthetic-human-expressions-poses-3d
3D Synthetic Human Poses and FACS Expressions Dataset
This is a high-fidelity synthetic dataset consisting of 10,075 pairs of 3D human character renders and detailed natural language annotations.
Dataset Structure & Generation
To ensure consistency, the dataset is generated using a single base 3D human model. The diversity of the dataset is achieved through a wide range of body poses, facial expressions, and camera angles:
Character: 1 base human model.
Camera… See the full description on the dataset page: https://huggingface.co/datasets/nadizik/synthetic-human-expressions-poses-3d.mmla-pose
Dataset Card for MMLA Pose: Pose Orientation Labels for Zebras in MMLA Drone Footage
Cropped zebra images from MMLA drone footage, manually labeled with one of eight discrete pose orientations relative to the camera. The dataset was curated to train a pose / viewpoint classifier (DINOv2 backbone + MLP head) for the WildWing autonomous drone-navigation system, where knowing which side of an animal is visible drives both individual re-identification (matching against flank stripe… See the full description on the dataset page: https://huggingface.co/datasets/imageomics/mmla-pose.