datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MM-Food-100K
Overview
This project aims to introduce and release a comprehensive food image dataset designed specifically for computer vision tasks, particularly food recognition, classification, and nutritional analysis. We hope this dataset will provide a reliable resource for researchers and developers to advance the field of food AI. By publishing on Hugging Face, we expect to foster community collaboration and accelerate innovation in applications such as smart recipe recommendations… See the full description on the dataset page: https://huggingface.co/datasets/Humanbased-AI/MM-Food-100K.Humans_with_Collision
Humans with Collisions (HwC) Pose & Motion Dataset
This dataset contains the training, evaluation, and benchmark data for the paper:"PoseShield: Neural Collision Fields for Human Self-Collision Resolution (ECCV 2026)"
Paper (arXiv): arXiv:2606.29686
Code Repository: PoseShield on GitHub (or project repo)
Dataset Structure
The repository contains two main groups of data structured under the data/ directory:
1. HwC Pose Dataset (Single Poses)
Used… See the full description on the dataset page: https://huggingface.co/datasets/ZYYY99/Humans_with_Collision.HumanCreativityBenchmark
The Human Creativity Benchmark (HCB)
Expert evaluations of AI-generated creative work, built to separate two signals that single-score benchmarks collapse: convergence, where professionals align around shared, checkable standards, and divergence, where creative taste legitimately differs. Each AI output is judged by domain professionals through three complementary lenses — forced-choice pairwise comparisons, 1-5 scalar ratings on prompt adherence, usability, and visual appeal… See the full description on the dataset page: https://huggingface.co/datasets/contralabs/HumanCreativityBenchmark.humancentric-scenes-ai
HumanCentric-Scenes-AI
A multimodal benchmark of 296 AI-generated human-centric scenes across four domains:
CCTV / surveillance imagery (Set 2, 85 images). Midjourney-generated stills that mimic low-resolution security-camera footage — parking lots, building interiors, outdoor public spaces — designed to test whether detection cues survive heavy compression and low-light noise.
Occupation × gender portraits (Set 3, 128 images). A balanced 64-occupation × 2-gender paired design… See the full description on the dataset page: https://huggingface.co/datasets/Nima0Kamali/humancentric-scenes-ai.humancentric-scenes-ai
HumanCentric-Scenes-AI
A multimodal benchmark of 296 AI-generated human-centric scenes across four domains:
CCTV / surveillance imagery (Set 2, 85 images). Midjourney-generated stills that mimic low-resolution security-camera footage — parking lots, building interiors, outdoor public spaces — designed to test whether detection cues survive heavy compression and low-light noise.
Occupation × gender portraits (Set 3, 128 images). A balanced 64-occupation × 2-gender paired design… See the full description on the dataset page: https://huggingface.co/datasets/rjmaftv33/humancentric-scenes-ai.Human_Aligned_BenchHUMANFaceDataset
HUMANFaceDataset
tags: facial, expression, identity
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'HUMANFaceDataset' is a curated collection of high-resolution images depicting various facial expressions across a wide range of human identities. The dataset has been meticulously labeled to facilitate studies in facial expression recognition and emotion analysis. Each entry includes an image file, associated metadata, and a… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/HUMANFaceDataset.