datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
human-activity-pose_v4
🧍 Human Activity Pose Dataset (Split Version)
This dataset contains human pose landmarks extracted with MediaPipe Pose,
annotated with activity labels and textual descriptions in English.
Dataset structure
train/ — 80% of samples for training
validation/ — 20% of samples for validation
Each record includes:
33 pose keypoints (fields: x, y, z, visibility)
label: activity name (e.g., reading, dancing, office_work)
description: a short textual description of the action… See the full description on the dataset page: https://huggingface.co/datasets/guillherms/human-activity-pose_v4.humanoid-basic-actions-dataset-v1
Humanoid Basic Actions Dataset v1
Synthetic dataset for humanoid robot training simulation.
Description
This dataset contains labeled humanoid robot action images for basic movement recognition tasks.
Classes
walk
run
sit
stand
wave
pick_object
turn_left
turn_right
Structure
dataset/
├── train/
├── validation/
Each folder contains subfolders named after action labels.
Format
Image Classification (RGB Images 224x224)
Total… See the full description on the dataset page: https://huggingface.co/datasets/Caplin43/humanoid-basic-actions-dataset-v1.AVA-Bench
AVA-Bench
Training dataset for the paper AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models (arXiv:2506.09082) accepted in CVPR 2026.
AVA-Bench is a diagnostic benchmark for evaluating Vision Foundation Models (VFMs) through Atomic Visual Abilities (AVAs): fundamental perceptual skills such as localization, counting, OCR, spatial understanding, depth estimation, color recognition, texture recognition, and fine-grained recognition.
AVA-Bench disentangls visual… See the full description on the dataset page: https://huggingface.co/datasets/act13/AVA-Bench.