datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
british-library-book-images
British Library Book Images
1,080,814 images cut out of 49,455 digitised books (65,227 volumes, ~25 million pages) published
between c. 1510 and c. 1900, digitised by the British Library in partnership
with Microsoft and released by British Library Labs
on Flickr Commons as the "1 Million Images from Scanned Books" release. The books cover geography,
philosophy, history, poetry and literature, in several languages.
The four image types
British Library Labs… See the full description on the dataset page: https://huggingface.co/datasets/biglam/british-library-book-images.british-library-book-images
British Library Book Images
1,080,814 images cut out of 49,455 digitised books (65,227 volumes, ~25 million pages) published
between c. 1510 and c. 1900, digitised by the British Library in partnership
with Microsoft and released by British Library Labs
on Flickr Commons as the "1 Million Images from Scanned Books" release. The books cover geography,
philosophy, history, poetry and literature, in several languages.
The four image types
British Library Labs… See the full description on the dataset page: https://huggingface.co/datasets/Faizaniqbal/british-library-book-images.human-style-preferences-images
Rapidata Image Generation Preference Dataset
This dataset was collected in ~4 Days using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation.
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Overview
One of the largest human preference datasets for text-to-image models, this release contains over 1,200,000 human preference… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/human-style-preferences-images.Crop_Disease_Images
Crop Disease Expert Annotations
1,026 expert annotations over 989 crop photographs, covering pests, diseases and nutrient deficiencies across 74 crop types. The images are included in this repository.
Every image is a photo taken by a smallholder farmer on their own plot and sent to Farmer.Chat, an AI advisory service run by Digital Green. Agronomists then reviewed each photo on Digital Green's annotation platform. Nothing here is scraped, staged, or lab-photographed.… See the full description on the dataset page: https://huggingface.co/datasets/DigiGreen/Crop_Disease_Images.lamoda-fashion-product-images
High-Resolution Fashion Product Images
This dataset is a highly optimized, high-resolution subset of the popular Fashion Product Images Dataset originally hosted on Kaggle.
It contains thousands of unique e-commerce fashion products, combining high-resolution product images with multiple descriptive label attributes.
All low-resolution thumbnails and anomalies have been aggressively filtered out. Every image in this dataset has a minimum resolution of 640px on its shortest… See the full description on the dataset page: https://huggingface.co/datasets/PestoRosso/lamoda-fashion-product-images.road-images-and-embeddings
Norwegian Road Images with Embeddings (Trondheim Area)
A dataset of 34,908 road images from the Trondheim region of Norway (~40km radius), captured by Statens vegvesen (Norwegian Public Roads Administration) in 2025. Each image is paired with rich geospatial metadata, nearest address information, and a 3072-dimensional image embedding from Google's gemini-embedding-2-preview model.
Dataset Structure
Each example contains:
Field
Type
Description
image
Image… See the full description on the dataset page: https://huggingface.co/datasets/thomasht86/road-images-and-embeddings.truck-images
Truck Detection and Counting Dataset
This repository contains multiple computer vision datasets for truck detection, counting, and classification.
1. Raw Truck Images (Root folder)
Number of images: 466
Format: Unannotated images (JPEG/PNG)
License: CC BY 4.0
2. Truck Counting Dataset
Number of images: 1769
Format: YOLOv8 format (images, labels, and data.yaml)
Location: truck_counting_yolov8/ folder
License: CC BY 4.0 (Roboflow export)
3. Trucks… See the full description on the dataset page: https://huggingface.co/datasets/shravya11/truck-images.frontier-synthetic-images-2026
Frontier Synthetic Images — Deduplicated Research Corpus
This is a training-only corpus of 40,290 exact-deduplicated AI-generated images from recent and frontier generators. It normalizes four provenance-pinned sources into one row-per-image schema for image-forensics research. It is not an evaluation benchmark and should not be used to report detector accuracy after training on it.
Sources and licensing
Qwen/Qwen-Image-Bench at… See the full description on the dataset page: https://huggingface.co/datasets/Thermostatic/frontier-synthetic-images-2026.detection-images
Hassan881/detection-images
Staging dataset for Berhan XAI (BurhanXAI) AI-generated / edited-media detection.
Field
Value
Training contract
v0.3.0 (firefly top-up applied; 6/6 M2 providers)
Held-out eval (M2)
v0.3.0-eval
Held-out eval (legacy)
v0.2.1-eval
Status
published
Classes
real, ai_generated, ai_edited
Seed
42
from datasets import load_dataset
ds = load_dataset("Hassan881/detection-images", name="v0.3.0")
ev =… See the full description on the dataset page: https://huggingface.co/datasets/Hassan881/detection-images.random_streetview_images_pano_v0.0.2
Dataset Card for panoramic street view images (v.0.0.2)
Dataset Summary
The random streetview images dataset are labeled, panoramic images scraped from randomstreetview.com. Each image shows a location
accessible by Google Streetview that has been roughly combined to provide ~360 degree view of a single location. The dataset was designed with the intent to geolocate an image purely based on its visual content.
Supported Tasks and Leaderboards
None as of now!… See the full description on the dataset page: https://huggingface.co/datasets/stochastic/random_streetview_images_pano_v0.0.2.SCIN-Dermatology-Raw-Images
SCIN-Dermatology-Raw-Images
This dataset contains 6,517 patient-submitted photographs organized into 3,061 clinical cases of common skin diseases. The source images are curated from the public Google Skin Condition Image Network (SCIN) corpus, cleansed of quality and gradability conflicts, and paired with complete patient-reported demographics, clinical symptoms, and dermatologist gradings.
Dataset Structure
This repository follows the standard Hugging Face… See the full description on the dataset page: https://huggingface.co/datasets/HawkFranklin-Research/SCIN-Dermatology-Raw-Images.ipo-images
SEC IPO Filing Image Dataset
A large-scale, labeled dataset of 76,000+ images extracted from U.S. IPO registration statements (S-1 and F-1 filings) filed with the SEC EDGAR system, spanning 1994–2026.
Every image has been classified through a multi-stage pipeline: initial detection with YOLOv8, followed by verification from an ensemble of 8 Vision-Language Models (VLMs). Chart images include additional structured metadata describing chart type, visual properties, and content.… See the full description on the dataset page: https://huggingface.co/datasets/gtfintechlab/ipo-images.crawl-images-2A simple dataset, from random sites crawled images
First few images are basic sites like youtube, google, etc then it slowly transformes to more random at the end
wine-images-126k
Wine Images Dataset 126K
A comprehensive dataset of 107,821 wine bottle images linked to the Wine Text Dataset 126K. This companion dataset provides high-quality wine bottle images for computer vision, multimodal machine learning, and wine recognition tasks.
Dataset Description
This dataset contains wine bottle images scraped from wine retailer websites. Each image is linked to detailed wine information (descriptions, pricing, categories, regions) via stable IDs that… See the full description on the dataset page: https://huggingface.co/datasets/cipher982/wine-images-126k.fashion-recommendation-images
High-Resolution Fashion Product Images
This dataset is a highly optimized, high-resolution subset of the popular Fashion Product Images Dataset originally hosted on Kaggle.
It contains thousands of unique e-commerce fashion products, combining high-resolution product images with multiple descriptive label attributes.
All low-resolution thumbnails and anomalies have been aggressively filtered out. Every image in this dataset has a minimum resolution of 640px on its shortest… See the full description on the dataset page: https://huggingface.co/datasets/GangHitman/fashion-recommendation-images.multicare-images
MultiCaRe: Open-Source Clinical Case Dataset
MultiCaRe is an open-source, multimodal clinical case dataset built from the PubMed Central Open Access (OA) Case Report articles. It aggregates de-identified, open-access case narratives, figure images, captions, and rich article metadata across diverse specialties (radiology, pathology, surgery, ophthalmology, etc.). The data is normalized so images, cases, and articles can be joined via stable IDs.
Source and process: OA case reports… See the full description on the dataset page: https://huggingface.co/datasets/OpenMed/multicare-images.crawl-imagesA simple dataset, from random sites crawled images
First few images are basic sites like youtube, google, etc then it slowly transformes to more random at the end
62k-images-khmer-printed-dataset
62k Khmer-English Printed Dataset
This repository contains a dataset of Khmer and English printed text images for training, validation, and testing. The dataset is stored in parquet format and managed using Git Large File Storage (LFS).
Installation
Prerequisites
Before cloning this repository, make sure you have Git LFS installed:
Install Git LFS
Linux/macOS:curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo… See the full description on the dataset page: https://huggingface.co/datasets/SoyVitou/62k-images-khmer-printed-dataset.rule34lol-images-part2
Dataset Card for rule34lol-images-part2
Dataset Summary
This dataset contains information about image files from rule34.lol, a booru-style imageboard. The dataset includes metadata for 77,000 image files, including URLs, tags, file information, and like counts. The actual image files are stored in zip archives, with each archive containing 1000 image files (except the last archive). This is Part 2 of 2 for the complete rule34lol-images dataset. Part 1 can be found here.… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/rule34lol-images-part2.WCCA-AK-images
WCCA-AK: Wearable Cultural Collection Archive - André Kim
Dataset Description
WCCA-AK is a large-scale dataset of 3D scans and multi-view images capturing 100 haute couture garments by André Kim
(1962–2010), one of Korea's most iconic fashion designers. This dataset bridges computer vision research and cultural heritage preservation, enabling both faithful documentation of historical artifacts and generative exploration of artistic vision.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/SY95/WCCA-AK-images.Concept_Targeted_Causal_Images
Dataset Card for Concept-Targeted Causal Images
Dataset Summary
Concept-Targeted Causal Images is a concept-centric image dataset designed for studying causal visual representations in the brain. For each concept, the dataset contains three complementary image types:
Positive images that clearly depict the target concept
Semantic negatives that are visually or semantically related to the concept, but do not satisfy it
Counterfactual edits created by editing… See the full description on the dataset page: https://huggingface.co/datasets/BrainCause/Concept_Targeted_Causal_Images.isl-finepdfs-images
Icelandic FinePDFs Images
Dataset Description
This dataset contains page-level images extracted from Icelandic PDFs in the HuggingFaceFW/finepdfs collection (isl_Latn subset). Each PDF page has been converted to a PNG image with associated metadata and structured OCR output generated using rednote-hilab/dots.ocr.
Dataset Summary
Language: Icelandic (is)
Source: HuggingFaceFW/finepdfs (isl_Latn)
OCR Model: rednote-hilab/dots.ocr
Format: PNG images with… See the full description on the dataset page: https://huggingface.co/datasets/Sigurdur/isl-finepdfs-images.nationalmuseet-open-images
Nationalmuseet Open Images
This dataset is an independently harvested research dataset from Nationalmuseet Samlinger Online.
It contains metadata and optionally WebDataset image shards for Nationalmuseet asset records whose
rights.license is one of:
Public Domain
CC-BY
No known rights
Public Domain and CC-BY are the strict open-license subset. No known rights is kept as a
separate license bucket because Nationalmuseet says this label means that, to their best assessment,
the… See the full description on the dataset page: https://huggingface.co/datasets/V4ldeLund/nationalmuseet-open-images.ImageIn_annotations_resized_images
Dataset Card for ImageIn_annotations_resized_images
More Information needed
hyper-kvasir-labeled-imagesHyperKvasir
Labeled images In total, the dataset contains 10,662 labeled images stored using the JPEG format. The images can be found in the images folder. The classes, which each of the images belongto, correspond to the folder they are stored in (e.g., the ’polyp’ folder contains all polyp images, the ’barretts’ folder contains all images of Barrett’s esophagus, etc.). The number of images per class are not balanced, which is a general challenge in the medical field due to the fact that some… See the full description on the dataset page: https://huggingface.co/datasets/sahilur/hyper-kvasir-labeled-images.Tampered-Images-Combined-Dataset
KhangTruong/Merged (cross_test)
This benchmark combines multi-generator AI image tampering and manipulation localization datasets.
Every sample contains an image and a ground-truth binary mask indicating tampered regions.
Columns
id (string): Unique identifier for the sample.
image (image): The image (authentic or manipulated).
mask (image): Single-channel ground-truth mask. For real images, this is an all-black mask (0). For fake images, white pixels (255)… See the full description on the dataset page: https://huggingface.co/datasets/KhangTruong/Tampered-Images-Combined-Dataset.clker-images
Dataset Card for Clker.com Images
Dataset Summary
This dataset contains 140,313 public domain clipart images collected from Clker.com. Clker.com hosts user-shared vector clip art that is explicitly released into the public domain (CC0). The dataset includes the images themselves along with metadata such as titles and tags associated with each image.
Languages
The dataset is primarily monolingual:
English (en): All image titles and tags are in… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/clker-images.rule34lol-images-part1
Dataset Card for rule34lol-images-part1
Dataset Summary
This dataset contains information about image files from rule34.lol, a booru-style imageboard. The dataset includes metadata for 196,000 image files, including URLs, tags, file information, and like counts. The actual image files are stored in zip archives, with each archive containing 1000 image files. This is Part 1 of 2 for the complete rule34lol-images dataset. Part 2 can be found here.
Languages… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/rule34lol-images-part1.google-open-images-hair-style-dataset
Google Open Images — Hair Style Dataset
🇺🇸 English | 🇰🇷 한국어
Overview
This dataset is a curated custom subset of the Google Open Images V7 dataset, specifically filtered to include images of humans with various hair styles.It is intended for use in computer vision research and applications such as hair style classification, person detection, and instance segmentation.
Split
Purpose
train
Model training
validation
Model evaluation / hyperparameter tuning… See the full description on the dataset page: https://huggingface.co/datasets/hwany79/google-open-images-hair-style-dataset.milly-imagesA collection of images from a very silly cat, these are all from @fatfatmillycat in twitter. Intended to be used with stable-diffusion-v1-4