datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cola
COLA: Compose Objects Localized with Attributes
Self-contained Hugging Face port of the COLA benchmark from the paper
"How to adapt vision-language models to Compose Objects Localized with Attributes?".
📄 Paper: https://arxiv.org/abs/2305.03689
🌐 Project page: https://cs-people.bu.edu/array/research/cola/
💻 Original code & data: https://github.com/ArijitRay1993/COLA
This repository bundles the benchmark annotations as Parquet files and the referenced
images as regular files… See the full description on the dataset page: https://huggingface.co/datasets/array/cola.smart-bin-detect
arudaev/smart-bin-detect
Training data for Smart Bin Recognition – a validator ("is there a bin?")
and an identifier ("which bin?"). The design lives in docs/04-ml-pipeline.md
in the project repo, which is private; the manifests here carry per-image
provenance and are the authoritative record of what this dataset contains.
Every image carries provenance: source, source URL, licence, region,
capture date, annotator where known, label origin (human / machine /
legacy /… See the full description on the dataset page: https://huggingface.co/datasets/arudaev/smart-bin-detect.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.Icarus-dataset
Icarus
A unified multi-modal curriculum dataset for evolutionary neural architecture search. Every row is one self-contained Task = {meta, support, query}, where support and query are lists of (input_Field, output_Field) pairs. The inner loop trains on support; fitness is scored on query. Support is non-empty for every task. Encoders read the Field descriptor (axes, value_type, n_classes, value_range, mask); mask is True where a value is padding/ignored. meta.class_names, when… See the full description on the dataset page: https://huggingface.co/datasets/Ardea/Icarus-dataset.indian-art-styles
🎨 Indian Art Styles Dataset
A comprehensive image classification dataset covering 34 distinct Indian painting and art styles with 27,139 images in total. This dataset is designed for training Vision Transformer (ViT) and CNN-based classifiers to recognize traditional Indian art styles.
Dataset Overview
Style
Region
Medium
Image Count
aipan
Uttarakhand
floor/wall painting
6
bengal_school
West Bengal
painting
1287
bhil
Madhya Pradesh / Rajasthan /… See the full description on the dataset page: https://huggingface.co/datasets/Divya0001/indian-art-styles.real-fake-ai-generated-art-images
🎨 Real and Fake (AI-Generated) Art Images Dataset
21,642 balanced images — 10,821 real artworks and 10,821 AI-generated
images — for training models to distinguish authentic art from GAN-generated fakes.
🧭 Overview
This dataset is part of the FauxFinder project, designed to build
advanced models capable of distinguishing between authentic artworks
and AI-generated images. Ideal for binary classification, GAN research,
and computer vision benchmarking.… See the full description on the dataset page: https://huggingface.co/datasets/hmnshudhmn24/real-fake-ai-generated-art-images.artelingo-dummyArtELingo is a benchmark and dataset introduced in a research paper aimed at promoting work on diversity across languages and cultures. It is an extension of ArtEmis, which is a collection of 80,000 artworks from WikiArt with 450,000 emotion labels and English-only captions. ArtELingo expands this dataset by adding 790,000 annotations in Arabic and Chinese. The purpose of these additional annotations is to evaluate the performance of "cultural-transfer" in AI systems.
The dataset in ArtELingo… See the full description on the dataset page: https://huggingface.co/datasets/youssef101/artelingo-dummy.ArenaBench
ArenaBench
Dataset Description
ArenaBench is a large-scale benchmark designed for comprehensive evaluation of deepfake detection methods. It contains approximately 45K testing samples and evaluates detectors across five levels, including in-domain, cross-model, cross-manipulation, commercial models, and real-world scenarios.
Overview
Overview of the ArenaBench benchmark.
Benchmark Design
ArenaBench evaluates deepfake… See the full description on the dataset page: https://huggingface.co/datasets/ceil2/ArenaBench.ArtiBench
ArtiBench: Artifact Detection Benchmark
Dataset Structure
Artifact-positive samples:
{
"id": "3qotz3zm",
"has_artifacts": true,
"explanation": "The image presents an aerial view of downtown Manhattan with an unusual twist. A large Ferris wheel, reminiscent of the Millennium Wheel, is oddly positioned next to the skyscrapers, appearing to be fused with the buildings below. ...",
"bboxes": [[114, 253, 432, 694]]
}
Artifact-negative samples:
{
"id": "nkzk0lqs"… See the full description on the dataset page: https://huggingface.co/datasets/KRAFTON/ArtiBench.danbooru2023
[Mirror]Danbooru2023: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset
Danbooru2023 is an extension of Danbooru2021, featuring over 6.8 million anime-style images, totaling more than 8.3 TB.
Each image is accompanied by community-contributed tags that provide detailed descriptions of its content, including characters,
artists, copyright information, concepts, and attire.
This makes it a crucial resource for stylized computer vision tasks and transfer learning.… See the full description on the dataset page: https://huggingface.co/datasets/zenless-archive/danbooru2023.chest-xray-14-320
NIH Chest X-ray14 - 320x320 Processed for CheXVision
Project Resources
GitHub repository
Presentation deck
Live demo
Scratch model
DenseNet model
This dataset repackages the raw NIH Chest X-ray14 source dataset from
alkzar90/NIH-Chest-X-ray-dataset
into a data-only Parquet dataset for the CheXVision project.
Dataset Summary
Source format: 12 ZIP archives of original chest X-ray images plus CSV manifests
Output format: data-only Parquet shards under data/… See the full description on the dataset page: https://huggingface.co/datasets/arudaev/chest-xray-14-320.arbiter-mini
Arbiter-mini
A small, purpose-built image dataset of household items captured under controlled Raspberry Pi camera conditions and labeled for binary waste/recycle classification according to San Diego, CA municipal recycling rules. Built as deployment-condition training data for the Arbiter sorting system, intended to be used alongside TrashNet to close the domain gap between studio imagery and real Pi-camera inference.
Motivation
Models trained purely on TrashNet… See the full description on the dataset page: https://huggingface.co/datasets/aaryavlal/arbiter-mini.Ar-MUSA
Data Directory Structure
The Ar-MUSA directory contains annotated datasets organized by batches and annotation teams. Each batch is labeled with a number, and the annotation team is indicated by a letter. The structure is as follows:
Ar-MUSA
├── Annotation 1a
│ ├── frames # Contains the extracted frames for each record
│ ├── audios # Contains the corresponding audio files
│ ├── transcripts # Contains the transcripts of the audio files
│ └── annotations.csv #… See the full description on the dataset page: https://huggingface.co/datasets/Skhaled/Ar-MUSA.european_art
Dataset Card for DEArt: Dataset of European Art
Dataset Summary
DEArt is an object detection and pose classification dataset meant to be a reference for paintings between the XIIth and the XVIIIth centuries. It contains more than 15000 images, about 80% non-iconic, aligned with manual annotations for the bounding boxes identifying all instances of 69 classes as well as 12 possible poses for boxes identifying human-like objects. Of these, more than 50 classes are cultural… See the full description on the dataset page: https://huggingface.co/datasets/biglam/european_art.arch-building-dataset
World Architectural Buildings Dataset (FGIC) for Multi‑Class Image Classification
Multi‑Class Image Classification dataset of world architectural buildings with finalized curation.
Classes
Class
Count
Description
barn
1,680
Traditional wooden barn architecture — residential and storage buildings
bridge
1,680
Various bridge architectures (suspension, arch, truss)
castle
1,680
Medieval and modern castle structures
mosque
1,680
Islamic mosque… See the full description on the dataset page: https://huggingface.co/datasets/0xgr3y/arch-building-dataset.indian-traditional-artificial-jewellery
Traditional and Handmade Indian Jewellery Dataset
This dataset contains a comprehensive collection of traditional and handmade Indian jewelry, sourced from various e-commerce platforms and manufacturer websites. It provides a rich set of attributes for each jewelry piece, making it a valuable resource for various data analysis, machine learning, and market research tasks.
Dataset Overview
This dataset is designed to provide detailed information about Indian jewelry… See the full description on the dataset page: https://huggingface.co/datasets/Coder-Dragon/indian-traditional-artificial-jewellery.waterbirds
Waterbirds (OCCAM layout)
This repository hosts the Waterbirds image files used in the
OCCAM codebase (arXiv),
laid out for experiments on robust classification evaluation.
Original data and credit
The images come from the Waterbirds benchmark introduced with the group
distributionally robust optimization in:
Shiori Sagawa, Pang Wei Koh, Tatsunori B. Hashimoto, Percy Liang,
Distributionally Robust Neural Networks for Group Shifts: On the Importance of… See the full description on the dataset page: https://huggingface.co/datasets/arubique/waterbirds.chest-xray-14
NIH Chest X-ray14 — Processed for CheXVision
This dataset wraps the NIH Chest X-ray14 dataset, preprocessed for the CheXVision project.
Labels
Label
Count
Prevalence
Infiltration
19,894
17.7%
Effusion
13,317
11.9%
Atelectasis
11,559
10.3%
Nodule
6,331
5.6%
Mass
5,782
5.2%
Pneumothorax
5,302
4.7%
Consolidation
4,667
4.2%
Pleural_Thickening
3,385
3.0%
Cardiomegaly
2,776
2.5%
Emphysema
2,516
2.2%
Edema
2,303
2.1%
Fibrosis
1,686
1.5%… See the full description on the dataset page: https://huggingface.co/datasets/arudaev/chest-xray-14.artistic-styles-dataset
Professional Illustrations Dataset - 30,000 images
The dataset comprises 30,000 high-quality artistic images spanning 20 distinct artistic styles and movements. It specifically designed for advancing research in artwork generation, style transfer, and the classification of visual arts.
By leveraging this dataset, researchers and developers can push the boundaries of generating images, creating new artistic creations, and conducting aesthetic evaluations. - Get the data
The… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/artistic-styles-dataset.Capacitacao_Visao_Computacional
Visão Geral
Este repositório contém as atividades práticas e teóricas do curso de Capacitação em Visão Computacional. O curso aborda fundamentos de processamento digital de imagens, técnicas de filtragem, segmentação, extração de características e aplicações em aprendizado de máquina.
Estrutura do Repositório
O repositório está organizado em pastas por atividade, cada uma contendo:
Enunciado da atividade em PDF
Notebook Jupyter (quando aplicável)
README com… See the full description on the dataset page: https://huggingface.co/datasets/arvoredossaberes/Capacitacao_Visao_Computacional.indian-traditional-artificial-jewellery
Traditional and Handmade Indian Jewellery Dataset
This dataset contains a comprehensive collection of traditional and handmade Indian jewelry, sourced from various e-commerce platforms and manufacturer websites. It provides a rich set of attributes for each jewelry piece, making it a valuable resource for various data analysis, machine learning, and market research tasks.
Dataset Overview
This dataset is designed to provide detailed information about Indian… See the full description on the dataset page: https://huggingface.co/datasets/manidhardevu/indian-traditional-artificial-jewellery.ArtiFact
ArtiFact
ArtiFact is a large-scale multimodal benchmark of museum artwork records with aligned images and structured metadata. It is designed for evaluating metadata extraction, error detection, semantic querying, and multimodal reasoning over cultural-heritage collections.
The dataset combines records from the Rijksmuseum, the Metropolitan Museum of Art (Met), and the Art Institute of Chicago (AIC), with normalized fields for artists, dates, materials, techniques, dimensions… See the full description on the dataset page: https://huggingface.co/datasets/deem-data/ArtiFact.white-cabbage-leaf-damage
White Cabbage Leaf Damage Dataset
Description
This dataset contains images of white cabbage leaves with various types of damage. It is designed for researchers and developers working on agricultural computer vision and plant pathology detection.
Dataset Structure
The dataset is organized into folders representing different classes of leaf damage or healthy states.
Usage
You can use this dataset with the datasets library:
from datasets… See the full description on the dataset page: https://huggingface.co/datasets/Arko007/white-cabbage-leaf-damage.ARGUS_DATASET
🌍 ARGUS DATASET
Multi-Domain Global Landmark, Streetscape & Geospatial Intelligence Dataset
📌 Dataset Overview
ARGUS_DATASET is an open, research-grade geospatial intelligence (GEOINT), computer vision, and visual geolocation benchmark dataset. It provides verified, multi-angle landmark photography, panoramic street-level imagery, spatial index databases, and DCT perceptual hash trees across sovereign nations, territories, and municipalities… See the full description on the dataset page: https://huggingface.co/datasets/YTxFSGAMERz/ARGUS_DATASET.ArMeme
ArMeme Dataset
Overview
ArMeme is the first multimodal Arabic memes dataset that includes both text and images, collected from various social media platforms. It serves as the first resource dedicated to Arabic multimodal research. While the dataset has been annotated to identify propaganda in memes, it is versatile and can be utilized for a wide range of other research purposes, including sentiment analysis, hate speech detection, cultural studies, meme generation, and… See the full description on the dataset page: https://huggingface.co/datasets/QCRI/ArMeme.artificial_weapon
Dataset Card for [Dataset Name]
Dataset Summary
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Supported Tasks and Leaderboards
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Languages
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Dataset Structure
Data Instances
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Data Fields
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Data Splits
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Dataset Creation
Curation Rationale
[More Information Needed]
Source Data… See the full description on the dataset page: https://huggingface.co/datasets/Besedo/artificial_weapon.arabica_coffee_leaf_disease_classification
Arabica Coffee Leaf Disease Classification
A dataset for disease classification of Arabica Coffee Leaf. The dataset contains 58,549 images across 5 classes: Cerscospora, Healthy, Leaf_rust, Miner, Phoma.Images per class:
Cerscospora: 7,681
Healthy: 18,983
Leaf_rust: 8,336
Miner: 16,978
Phoma: 6,571
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{jepkoech2021arabica,
title={Arabica coffee leaf… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/arabica_coffee_leaf_disease_classification.arcdataset-brutalism-extension
Architectural Styles Dataset (Curated and Extended)
Dataset Summary
A curated and extended version of dumitrux's Architectural Styles Dataset. The original dataset covered 25 architectural styles; 630 images were removed by automated filters (duplicates, low-resolution), leaving 9,483 images. A 26th class, Brutalism, was added from 284 manually curated Wikimedia Commons photographs, bringing the total to 9,767 images across 26 classes.
Intended use: training and… See the full description on the dataset page: https://huggingface.co/datasets/axel-riben/arcdataset-brutalism-extension.geolayers
Geolayers-Data
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This dataset card contains usage instructions and metadata for all data-products released with our paper:Using Multiple Input Modalities can Improve Data-Efficiency and O.O.D. Generalization for ML with Satellite Imagery. We release 3 modified versions of 3 benchmark datasets spanning land-cover segmentation, tree-cover regression, and multi-label land-cover classification tasks. These datasets are augmented with auxiliary, geographic inputs. A full list of… See the full description on the dataset page: https://huggingface.co/datasets/arjunrao2000/geolayers.imagenet_1k_resized_256
Dataset Card for "imagenet_1k_resized_256"
Dataset summary
The same ImageNet dataset but all the smaller side resized to 256.
A lot of pretraining workflows contain resizing images to 256 and random cropping to 224x224, this is why 256 is chosen.
The resized dataset can also be downloaded much faster and consume less space than the original one.
See here for detailed readme.
Dataset Structure
Below is the example of one row of data. Note that the… See the full description on the dataset page: https://huggingface.co/datasets/arthtrivedi/imagenet_1k_resized_256.