datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
DASP
Dataset Card for DASP
Dataset Description
The DASP (Distributed Analysis of Sentinel-2 Pixels) dataset consists of cloud-free satellite images captured by Sentinel-2 satellites. Each image represents the most recent, non-partial, and cloudless capture from over 30 million Sentinel-2 images in every band. The dataset provides a near-complete cloudless view of Earth's surface, ideal for various geospatial applications. Images were converted from JPEG2000 to JPEG-XL to… See the full description on the dataset page: https://huggingface.co/datasets/RichardErkhov/DASP.fashion_mnist
Dataset Card for FashionMNIST
Dataset Summary
Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. We intend Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing… See the full description on the dataset page: https://huggingface.co/datasets/zalando-datasets/fashion_mnist.viet-cultural-vqaVietnamese Cultural VQA Dataset is a comprehensive multimodal dataset focusing on Vietnamese cultural heritage.
It contains 28,505 images across 12 cultural categories with 119,012 question-answer pairs in Vietnamese and English.
The dataset covers diverse aspects of Vietnamese culture including architecture, cuisine, traditional clothing,
landscapes, festivals, folk culture, traditional games, sports, handicrafts, musical instruments, daily life,
and transportation.Dataset
MM-OphBench: Multi-Center Multimodal Clinical Ophthalmic Benchmark Dataset
A Large-Scale, Standardized Multi-Center Benchmark Covering 7 Imaging Modalities & 4.3M+ Clinical Records
1. Executive Summary & Repository Overview
The MM-OphBench repository hosts a petabyte-scale, clinically harmonized ophthalmic image archive compiled from leading ophthalmic hospitals and benchmark cohorts. It spans 4,307,415 high-resolution diagnostic images and multimodal… See the full description on the dataset page: https://huggingface.co/datasets/Kaphathy/Dataset.danbooru2026
Danbooru2026: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset [WIP]
Dataset Description
Danbooru2026 is a large-scale anime illustration dataset containing over 10 million community-annotated images. It is intended for research and development in anime-style image generation, image classification, multimodal learning, and related tasks.
Danbooru is a long-running image board known for its extensive tagging system and community-maintained… See the full description on the dataset page: https://huggingface.co/datasets/nyanko-devs/danbooru2026.danbooru2023
Danbooru2023: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset
Danbooru2023 is a large-scale anime image dataset with over 5 million images contributed and annotated in detail by an enthusiast community. Image tags cover aspects like characters, scenes, copyrights, artists, etc with an average of 30 tags per image.
Danbooru is a veteran anime image board with high-quality images and extensive tag metadata. The dataset can be used to train image classification… See the full description on the dataset page: https://huggingface.co/datasets/nyanko7/danbooru2023.zendo-synthetic-data
Zendo Synthetic Visual Reasoning Dataset
Synthetic Zendo-style scenes with associated rules and per-scene tensor
representations. Each scene either follows ("positive", label=1) or violates
("negative", label=0) a rule that is given in natural language and as a Prolog
query.
Splits
split
scenes
train
56475
test
3344
rules total
3439
Layout
images/<split>/<batch>/<rule_id>/<scene_id>.png — rendered scene… See the full description on the dataset page: https://huggingface.co/datasets/sophia1ch/zendo-synthetic-data.NIH-Chest-X-ray-datasetThe NIH Chest X-ray dataset consists of 100,000 de-identified images of chest x-rays. The images are in PNG format.
The data is provided by the NIH Clinical Center and is available through the NIH download site: https://nihcc.app.box.com/v/ChestXray-NIHCCMPII_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.danbooru2024
Danbooru2024 Dataset
8058098 original images in total.
🎨 Danbooru2024 Dataset
📊 Dataset Overview
The Danbooru2024 dataset is a comprehensive collection focused on animation and illustration artwork, derived from the official Danbooru platform. It contains approximately 8.05 million high-quality, user-annotated images with corresponding tags and textual descriptions.
✨ Features
📋 Metadata Support
Includes a Parquet format… See the full description on the dataset page: https://huggingface.co/datasets/deepghs/danbooru2024.food-dataset
Food Dataset
An image classification dataset of food photos organized into 201 categories (folders), with 35,046 images total (~924 MB).
Each top-level folder is a category (e.g. adana kebab, sushi, waffles, tiramisu, ...) containing JPEG images of that food/dish. This follows the standard Hugging Face imagefolder layout, so it loads directly with:
from datasets import load_dataset
ds = load_dataset("webbrain-one/food-dataset")
Structure
<category… See the full description on the dataset page: https://huggingface.co/datasets/webbrain-one/food-dataset.Popcorn_Dataset
🍿 Popcorn Dataset
This dataset contains visual features obtained from a wide range of movies (full-length), their extracted shots, and free trailers. It contains frame-level extracted visual features and aggregated version of them. Popcorn can be used in recommendation, information retrieval, classification, etc tasks.
📃 Table of Content
How to Use
Dataset Stats
Files Structure
🚀 How to Use?
Dataset Web-Page
Check the detailed… See the full description on the dataset page: https://huggingface.co/datasets/alitourani/Popcorn_Dataset.danbooru2023_indexTar index files for nyanko7/danbooru2023.
You can download images from both nyanko7/danbooru2023 and deepghs/danbooru_newest with cheesechaser.
from cheesechaser.datapool import DanbooruNewestDataPool
pool = DanbooruNewestDataPool()
# download danbooru original images from 7200000-7201000, to directory /data/danbooru_original
pool.batch_download_to_directory(
resource_ids=range(7200000, 7201000),
dst_dir='/data/danbooru_original',
max_workers=12,
)
sph_dataset
SPH-Simulated LPBF Melt-Pool Dataset
Single-track laser powder bed fusion (LPBF) melt-pool simulations for Ti-6Al-4V,
produced with the LAMAS smoothed-particle-hydrodynamics solver. 241 simulations
sampled uniformly i.i.d. over a 4D process-parameter cube (laser power, scan
speed, laser spot radius, substrate temperature), spanning conduction, transition,
and keyhole regimes.
Companion to the NeurIPS 2026 Evaluations & Datasets Track submission
A Simulation-Based Dataset for… See the full description on the dataset page: https://huggingface.co/datasets/ioandanielc/sph_dataset.real-infrared-maritime-vessel-dataset
Real Infrared Maritime Vessel Dataset
Real infrared imagery of maritime vessels.
The dataset is provided in three forms — full-frame detection images, per-object classification crops, and a hand-curated subset.
Classes (7): liner, bulk carrier, warship, sailboat, canoe, container ship, fishing boat.
Layout
real-infrared-maritime-vessel-dataset/
├── original/ Full-frame IR images + XML bounding-box labels (detection)
│ ├── images/{train,test}/*.jpg… See the full description on the dataset page: https://huggingface.co/datasets/hanchong/real-infrared-maritime-vessel-dataset.Describable-Textures-Dataset
Dataset Card for Describable Textures Dataset
This is a FiftyOne dataset with 5640 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("Voxel51/Describable-Textures-Dataset")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/Describable-Textures-Dataset.military-aircraft-detection-dataset
Military Aircraft Detection Dataset
Military aircraft detection dataset in COCO and YOLO format.
The dataset was initially developed exclusively for military aircraft detection, but was later expanded to include commercial airliners for a broader and more challenging detection task.
The dataset contains 103 military aircraft types and 11 commercial airliner types.
Military aircraft: A10, A400M, AG600, AH64, AKINCI, AV8B, An124, An22, An225, An72, B1, B2, B21, B52, Be200, C1… See the full description on the dataset page: https://huggingface.co/datasets/a2015003713/military-aircraft-detection-dataset.efficientnet-v2-l-adv-dataset
Perturb Adversarial Images
Verified adversarial examples for efficientnet_v2_l (torchvision/EfficientNet_V2_L_Weights.IMAGENET1K_V1), produced by the
Perturb network. Each row is one clean image together with all of its
verified adversarial versions: images that are imperceptibly different from the original
(L∞ ≤ 0.03 in [0,1] pixel scale) yet change the model's top-1 prediction.
This dataset grows continuously. New rows are appended as the network produces them and uploaded in… See the full description on the dataset page: https://huggingface.co/datasets/perturb-ai/efficientnet-v2-l-adv-dataset.cctv-datasets
CCTV Datasets for helmet detection + ANPR
Training and evaluation data used by vivekvar/helmet-v5 and vivekvar/helmet-v4.
Source: Andhra Pradesh RTGS CCTV feeds (public road cameras). All crops and frames are from motorcycle traffic scenes.
Folders
Folder
Contents
Purpose
merged_v3/
YOLO-format dataset (data.yaml + train/valid/test)
Bike + rider detection training
clean_merged_data/
Cleaned / deduped crop set
Base training data for v4
extra_khadatkar/… See the full description on the dataset page: https://huggingface.co/datasets/vivekvar/cctv-datasets.danbooru2024-webp-4Mpixel
🎨 Danbooru2024 Webp 4MPixel Dataset
📊 Dataset Overview
The Danbooru2024-Webp dataset is a comprehensive collection focused on animation and illustration artwork, derived from the official Danbooru platform. It contains approximately 8.05 million high-quality, user-annotated images with corresponding tags and textual descriptions.
This dataset is 4MP-focused webp resized-dataset of Danbooru2024.
✨ Features
📋 Metadata Support
Includes a Parquet… See the full description on the dataset page: https://huggingface.co/datasets/deepghs/danbooru2024-webp-4Mpixel.cub200_dataset
Dataset Card for CUB_200_2011
Dataset Summary
The Caltech-UCSD Birds 200-2011 dataset (CUB-200-2011) is an extended version of the original CUB-200 dataset, featuring photos of 200 bird species primarily from North America. This 2011 version significantly expands its predecessor by doubling the number of images per class and introducing new part location annotations, alongside collecting detailed natural language descriptions for each image through Amazon Mechanical Turk… See the full description on the dataset page: https://huggingface.co/datasets/cassiekang/cub200_dataset.danbooru2024-sfw
🎨 Danbooru2024 Dataset
📊 Dataset Overview
The Danbooru2024 dataset is a comprehensive collection focused on animation and illustration artwork, derived from the official Danbooru platform. It contains approximately 6.5 million high-quality, user-annotated images with corresponding tags and textual descriptions.
This dataset is filtered from an original set of 8.3 million entries, excluding NSFW-rated, opt-out entries to create a more accessible and… See the full description on the dataset page: https://huggingface.co/datasets/deepghs/danbooru2024-sfw.Danbooru-WD-EVA-EmbeddingsThis dataset includes WD EVA v2 large embeddings for danbooru images. Pixiv will be added later. Tensors under w are direct outputs and match indexes for WD EVA model. Tensors under e are from WD EVA as well however these strips the classifiaction head, they are smaller and suitable for deduplication computing for example.
The indexes of w, e and f (filename) match.
WD EVA Model: https://huggingface.co/SmilingWolf/wd-eva02-large-tagger-v3
TIGAS_dataset
TIGAS Dataset
A comprehensive dataset for training AI-generated image detection models
TIGAS Model • GitHub Repository
Dataset Description
The TIGAS Dataset is a large-scale collection of real and AI-generated images designed for training and evaluating AI-generated image detection models. It contains 142,902 images from diverse sources, including state-of-the-art generative models.
Key Features
Binary classification task: Real (label=0) vs… See the full description on the dataset page: https://huggingface.co/datasets/H1merka/TIGAS_dataset.Defactify_Image_Dataset
Defactify_Image_Dataset
This dataset is associated with the paper A Comprehensive Dataset for Human vs. AI Generated Image Detection.
📝 Dataset Description
Dataset Summary
The Defactify_Image_Dataset (A Comprehensive Dataset for Human vs. AI Generated Image Detection) is a high-quality collection of 96,000 images and associated metadata designed to benchmark models for detecting and identifying the source of artificially generated content. Built using the MS… See the full description on the dataset page: https://huggingface.co/datasets/Rajarshi-Roy-research/Defactify_Image_Dataset.ARTO-Gen-Dataset
ARTO-KG: A Synthetic Artwork Dataset for Knowledge-Enhanced Understanding
Dataset Description
ARTO-KG is a large-scale synthetic artwork dataset that bridges visual content and structured knowledge through ontology-guided automated generation. Each artwork is annotated with comprehensive RDF knowledge graphs aligned with the ARTO ontology.
Dataset Summary
Total Artworks: 10,108 high-resolution images (1024×1024)
Object Instances: 39,878 (average… See the full description on the dataset page: https://huggingface.co/datasets/youngcan1/ARTO-Gen-Dataset.dacl10k
Dataset Card for dacl10k
dacl10k stands for damage classification 10k images and is a multi-label semantic segmentation dataset for 19 classes (13 damages and 6 objects) present on bridges.
The dacl10k dataset includes images collected during concrete bridge inspections acquired from databases at authorities and engineering offices, thus, it represents real-world scenarios. Concrete bridges represent the most common building type, besides steel, steel composite, and wooden bridges.… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/dacl10k.autotrain-data-pick_a_card
AutoTrain Dataset for project: pick_a_card
Dataset Description
This dataset has been automatically processed by AutoTrain for project pick_a_card.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<224x224 RGB PIL image>",
"target": 0
},
{
"image": "<224x224 RGB PIL image>",
"target": 0
}]
Dataset Fields… See the full description on the dataset page: https://huggingface.co/datasets/rwcuffney/autotrain-data-pick_a_card.Visual_Privacy_Dataset
VPD-100K: Towards Generalizable and Fine-grained Visual Privacy Protection
Official dataset for the ICML 2026 paper
VPD-100K: Towards Generalizable and Fine-grained Visual Privacy Protection
🌐 Project Page: https://vpd-100k.github.io/
📄 Paper: https://arxiv.org/abs/2605.10229
Overview
Visual privacy protection has become increasingly important as people continuously share images and live-stream videos online. Existing visual privacy datasets are generally… See the full description on the dataset page: https://huggingface.co/datasets/XiaoyuSunANU/Visual_Privacy_Dataset.MLLM-Generated-Image-Detection-Dataset
MLLM-Generated Image Dataset
This dataset contains real and AI-generated image samples organized for binary MLLM-generated image detection.
Paper | Code
Dataset Summary
We construct an MLLM-generated image detection benchmark from GPT Image2 and Nano Banana2. This benchmark covers texture-dominated, structure-dominated, and hybrid-dominated. It is designed to evaluate detector performance under the new challenges introduced by large-scale image generation models.… See the full description on the dataset page: https://huggingface.co/datasets/zr-zhang/MLLM-Generated-Image-Detection-Dataset.