datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
laion2b-en-a65_cogvlm2-4bit_captions
Abstract
This dataset contains image captions for the laion2B-en aesthetics>=6.5 image dataset using CogVLM2-4bit with the "laion-pop"-prompt to generate captions which were "likely" used in Stable Diffusion 3 training. From these image captions new synthetic images were generated using stable-diffusion-3-medium (batch-size=8).
The synthetic images are best viewed locally by cloning this repo with:
git lfs install
git clone… See the full description on the dataset page: https://huggingface.co/datasets/GeroldMeisinger/laion2b-en-a65_cogvlm2-4bit_captions.synthetic-dataset-1m-dalle3-high-quality-captions
Dataset Card for Dalle3 1 Million+ High Quality Captions
Alt name: Human Preference Synthetic Dataset
Example grids for landscapes, cats, creatures, and fantasy are also available.
Description:
This dataset comprises of AI-generated images sourced from various websites and individuals, primarily focusing on Dalle 3 content, along with contributions from other AI systems of sufficient quality like Stable Diffusion and Midjourney (MJ v5 and above). As users typically… See the full description on the dataset page: https://huggingface.co/datasets/ProGamerGov/synthetic-dataset-1m-dalle3-high-quality-captions.Capillary-Dataset
Capillary dataset
Paper: Capillary Dataset: A dataset of nail-fold capillaries captured by microscopy for diabetes detection
Github: https://github.com/urgonguyen/Capillarydataset.git
The dataset are structured as follows:
Capillary dataset
├── Classification
├── data_1x1_224
├── data_concat_1x9_224
├── data_concat_2x2_224
├── data_concat_3x3_224
├── data_concat_4x1_224
└── data_concat_4x4_224
├── Morphology_detection… See the full description on the dataset page: https://huggingface.co/datasets/MelanieCo/Capillary-Dataset.Capillary-Dataset
Capillary dataset
Paper: Capillary Dataset: A dataset of nail-fold capillaries captured by microscopy for diabetes detection
Github: https://github.com/urgonguyen/Capillarydataset.git
The dataset are structured as follows:
Capillary dataset
├── Classification
├── data_1x1_224
├── data_concat_1x9_224
├── data_concat_2x2_224
├── data_concat_3x3_224
├── data_concat_4x1_224
└── data_concat_4x4_224
├── Morphology_detection… See the full description on the dataset page: https://huggingface.co/datasets/HanaNguyen/Capillary-Dataset.Minecraft-Skins-Captioned-1M
Dataset Card for Minecraft Skins
Dataset Summary
This dataset contains 981,079 unique Minecraft player skins collected from various sources. Each skin is stored as a base64-encoded image with a unique identifier.
Dataset Structure
Data Fields
This dataset includes the following fields:
hash: A data dependent hash. These hashes are generated from raw bytes and will be same if the skin is identical.
image: The skin image encoded in base64 format.… See the full description on the dataset page: https://huggingface.co/datasets/neurlang/Minecraft-Skins-Captioned-1M.IntraOral_Gingivitis_Image_Captioning
A DENTAL INTRAORAL IMAGE DATASET OF GINGIVITIS FOR IMAGE CAPTIONING
Dataset Description
This dataset is a copy of A Dental IntraOral Image Dataset of Gingivitis for Image Captioning which is shared with the license CC BY 4.0.
This dataset contains 1,096 samples organized across multiple splits.
The dataset includes image data.
Splits
train: 732 samples
test: 182 samples
validation: 182 samples
Dataset Creation
This dataset was created using… See the full description on the dataset page: https://huggingface.co/datasets/ekacare/IntraOral_Gingivitis_Image_Captioning.Capillary-Dataset
Capillary dataset
Paper: Capillary Dataset: A dataset of nail-fold capillaries captured by microscopy for diabetes detection
Github: https://github.com/urgonguyen/Capillarydataset.git
The dataset are structured as follows:
Capillary dataset
├── Classification
├── data_1x1_224
├── data_concat_1x9_224
├── data_concat_2x2_224
├── data_concat_3x3_224
├── data_concat_4x1_224
└── data_concat_4x4_224
├── Morphology_detection… See the full description on the dataset page: https://huggingface.co/datasets/gccwang/Capillary-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.CaptchaOCR-500K
CaptchaOCR-500K
Dataset Summary
CaptchaOCR-500K is a large-scale CAPTCHA recognition dataset containing 500,000 CAPTCHA images with corresponding text labels.
The dataset is designed for training and evaluating Optical Character Recognition (OCR), CAPTCHA solving systems, image-to-text models, and computer vision models focused on text recognition.
Tasks
Optical Character Recognition (OCR)
CAPTCHA Recognition
Image-to-Text
Computer Vision
Text… See the full description on the dataset page: https://huggingface.co/datasets/AvinashRicky/CaptchaOCR-500K.french-lot-department-captioned-photos
Lot Department, France Image Dataset
A collection of high-resolution scenic photographs from the Lot region of France with AI-generated descriptive captions.
Dataset Summary
This dataset contains scenic photographs from three notable locations in France's Lot department: Rocamadour, Autoire, and Padirac. All images were captured using a Sony A6600 camera and are paired with detailed English captions generated by Mistral AI's Pixtral-Large model.
Key Features:… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/french-lot-department-captioned-photos.TreeOfLife-10M-Captions
Dataset Card for TreeOfLife-10M Captions
This dataset consists of generated captions, Wikipedia-derived descriptions and format examples for the TreeOfLife-10M. These captions were generated using InternVL3-38B based on biological contexts that help the model generate more accurate captions. It was used to train BioCAP, a CLIP-based model.
Dataset Details
This dataset is comprised of captions for the images in TreeOfLife-10M that were generated using InternVL3 38B.… See the full description on the dataset page: https://huggingface.co/datasets/imageomics/TreeOfLife-10M-Captions.albi-captioned-photos
Albi, France Image Dataset
A collection of high-resolution scenic photographs from Albi, France with AI-generated descriptive captions.
Dataset Summary
This dataset contains scenic photographs from Albi, France, including the city center, the Toulouse Lautrec museum, and the Sainte-Cécile Cathedral. All images were captured using a Sony A6600 camera and are paired with detailed English captions generated by Mistral AI's Pixtral-Large model.
Key Features:
High-resolution… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/albi-captioned-photos.Deep_Captcha
DeepCaptcha Dataset: AI-Resistant CAPTCHA Benchmark
Overview
DeepCaptcha is a professional-grade dataset designed for benchmarking the AI-resistance and robustness of computer vision models. It contains CAPTCHA images generated with varying levels of adversarial protection, specifically engineered to thwart common automated recognition attacks (CNNs, OCR, etc.) while remaining human-readable.
Dataset Structure
The dataset is organized into 5 primary difficulty… See the full description on the dataset page: https://huggingface.co/datasets/Knight07/Deep_Captcha.vintage-photography-450k-high-quality-captionsThis is a 450k image datastet focused on photography from the 20th century, and their analog aspect. Many of the images are in high resolution. This dataset currently has 20k images captioned with InternVL2 26B, and is a work in progress (I plan to caption the entire dataset and also have short captions for all of the images, compute is an issue for now).
vintage-artworks-60k-captionedThis is a dataset consisting of 60k vintage artworks from the 20th century, consisting of vintage pulp, sci-fi and pinup artworks from that era.
The dataset has short and long captions for each image, as well as resolution information. The large captions (large_caption column) were made with florence-2-large-ft, and then shortened with llama 3 8b (see short_caption column).
PokeFA-pokemon-fanart-captioned
PokeFA — Pokémon fan-art metadata with relevance/aesthetic scores and hybrid captions
PokeFA is a large-scale Pokémon fan-art dataset released as metadata + URLs only (no image bytes).~30,000 candidate images are collected across 1,025 Pokémon using a popularity-banded budget with following curation pipeline:
NSFW filtering → OCR localization & inpainting → resizing → relevance & aesthetic scoring (GPT-5-mini vision) → near-duplicate removal → quality filtering to the top ~16… See the full description on the dataset page: https://huggingface.co/datasets/Kev0208/PokeFA-pokemon-fanart-captioned.synthetic-dataset-1m-dalle3-high-quality-captions
Dataset Card for Dalle3 1 Million+ High Quality Captions
Alt name: Human Preference Synthetic Dataset
Example grids for landscapes, cats, creatures, and fantasy are also available.
Description:
This dataset comprises of AI-generated images sourced from various websites and individuals, primarily focusing on Dalle 3 content, along with contributions from other AI systems of sufficient quality like Stable Diffusion and Midjourney (MJ v5 and above). As users typically… See the full description on the dataset page: https://huggingface.co/datasets/lingcarzy/synthetic-dataset-1m-dalle3-high-quality-captions.CaptchaOCR-500K
CaptchaOCR-500K
Dataset Summary
CaptchaOCR-500K is a large-scale CAPTCHA recognition dataset containing 500,000 CAPTCHA images with corresponding text labels.
The dataset is designed for training and evaluating Optical Character Recognition (OCR), CAPTCHA solving systems, image-to-text models, and computer vision models focused on text recognition.
Tasks
Optical Character Recognition (OCR)
CAPTCHA Recognition
Image-to-Text
Computer Vision
Text… See the full description on the dataset page: https://huggingface.co/datasets/dan6864/CaptchaOCR-500K.Open-Captcha-Image-DLC
File Breakdown:
File Name
Size
Description
.gitattributes
2.46 kB
Rules for Git Large File Storage (LFS).
README.md
42 Bytes
Basic project description.
Usage:
This dataset can be used for:
Training CAPTCHA Solvers:Build models capable of solving image-based CAPTCHA challenges.
Testing Automation:Evaluate CAPTCHA-breaking algorithms for robustness.
Security Research:Understand the limitations of CAPTCHA systems and enhance security protocols.
captcha-25k
Synthetic-Captcha-25k
A synthetic dataset consisting of 25,000 generated captcha images, designed for training and testing OCR and computer vision models.
Dataset Curation
Source: Generated via custom Python script (Synthetic Data).
Variety: Includes 12+ types of noise filters, distortions, and variable font rendering to simulate real-world captcha challenges.
Purpose: Created for OCR benchmarking and testing automated recognition systems.
Warning: As pure synthetic data… See the full description on the dataset page: https://huggingface.co/datasets/lumasik/captcha-25k.midjourney_captioned_23m_full
Midjourney Captioned Full Dataset
This is the full dataset of Midjourney Captioned 23M dataset. And all the original images are maintained here.
Thanks to the contribution of a certain third-party data provider who wishes to remain anonymous.
Information
Images
There are 23167456 images in total. The maximum ID of these images is 23167456. Last updated at 2024-12-01 12:11:43 UTC.
These are the information of recent 50 images:
id
width
height
filename… See the full description on the dataset page: https://huggingface.co/datasets/deepghs/midjourney_captioned_23m_full.capstone-figures
Capstone Figure Dataset
Scientific figure images extracted from ICLR 2024, ICLR 2025, NeurIPS 2023/2024,
ICML 2023/2024 papers. Used for multidimensional figure quality assessment.
Files
Each image is named {VENUE}_{YEAR}_{ID:05d}_fig_{N}.png.
Annotation data
JSONL annotation files are available in the companion GitHub repo.
Paper source
Papers can be re-downloaded with download_papers.py from the GitHub repo.
plastic-caps
Plastic Caps Dataset
Dataset Summary
This dataset contains images of plastic caps categorized by the color. The dataset is divided into training, validation, and test splits using a leakage-safe strategy that groups all images of the same physical cap together in the same split while maintaining balanced color distributions across subsets.
Supported Tasks
The initial and primary purpose of this dataset is Color classification (target label: color_category)… See the full description on the dataset page: https://huggingface.co/datasets/sebastiangv/plastic-caps.vintage-photography-450k-high-quality-captionsThis is a 450k image datastet focused on photography from the 20th century, and their analog aspect. Many of the images are in high resolution. This dataset currently has 20k images captioned with InternVL2 26B, and is a work in progress (I plan to caption the entire dataset and also have short captions for all of the images, compute is an issue for now).
captured-data-20260430
Captured Data 20260430
Camera captures collected on 2026-04-30.
Files are stored under captures/20260430/.