datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Egocentric_10K_Evaluation
Dataset Card for Egocentric_10K_Evaluation
This is a FiftyOne dataset with 30000 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Voxel51/Egocentric_10K_Evaluation")
# Launch the App
session = fo.launch_app(dataset)
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/Egocentric_10K_Evaluation.DigiCam-CelebA-10K
Dataset for the paper: https://opg.optica.org/abstract.cfm?uri=pcAOP-2023-JTu4A.45
Data is measured with a computer monitor at 30 cm as shown below (except for the in-the-wild mug measurement which is measured at 12 cm).
After cloning and installing LenslessPiCam, ADMM reconstruction can be applied to the dataset with this script (handles dataset downloading from Hugging Face).python scripts/recon/dataset.py -cn recon_celeba_digicam
The simulated PSF can be obtained and compared with the… See the full description on the dataset page: https://huggingface.co/datasets/bezzam/DigiCam-CelebA-10K.danbooru-artists-10k
Danbooru Artists 10k
Dataset Summary
This dataset contains images from 10,000 artists collected from Danbooru. The images are primarily sourced from a mirror here. However, there are six images that are missing/broken in this mirror, which have been directly sourced from Danbooru. Each artist is represented by 30 images. This dataset is intended for use in metric learning or fine-grained classification tasks related to art styles. The artists are split into train… See the full description on the dataset page: https://huggingface.co/datasets/gustproof/danbooru-artists-10k.StreetView-Image-Dataset-10K
Urban Streetscape Dataset for Vision Language Models
A curated subset of 10,000 street view images with 25 essential features optimized for training vision language models on urban environment analysis tasks.
Dataset Description
This dataset contains street view imagery paired with comprehensive annotations covering infrastructure characteristics, visual perception metrics, environmental context, and semantic segmentation data.
This comprehensive dataset represents a… See the full description on the dataset page: https://huggingface.co/datasets/Sadhana-24/StreetView-Image-Dataset-10K.LogoBrief-10K
LogoBrief-10K
10,000 brand logos, each with its original SVG and a clean raster render, plus design annotations: open-vocabulary style tags, a one-sentence motif description, a full generated design brief, and text-region bounding boxes. Domain sampling is stratified by web-popularity rank rather than selected for recognizable brands. Every included domain was checked for AI-training opt-out signals immediately before publication (see Opt-out audit evidence).
Video… See the full description on the dataset page: https://huggingface.co/datasets/Logolabs/LogoBrief-10K.anime_porn_image_10k
anime_porn_image_10k
Short descriptionA self-built dataset of AI-generated adult (NSFW) images intended for research, benchmarking, and model evaluation. This dataset contains adult content created by generative models. Use responsibly and in compliance with local laws and platform policies.
Repository / OwnerMingSafeR/anime_porn_image_10kOwner: MingSafeRContact: xinhao601@gmail.com
WARNING — NSFW / SAFETY NOTICE
This dataset contains explicit adult (NSFW) images… See the full description on the dataset page: https://huggingface.co/datasets/MingSafeR/anime_porn_image_10k.Granulo-10k
🌲 Granulo-10k
A large-scale benchmark dataset for multiple-view industrial granulometry of OSB wood strands
Granulo-10k is an open benchmark dataset for research on Oriented Strand Board (OSB) strand analysis, with a focus on multiple-view granulometry, strand segmentation, and 3D geometric estimation.
🧭 Overview
Granulo-10k contains high-resolution paired images of OSB wood strands acquired with a calibrated two-camera setup, together… See the full description on the dataset page: https://huggingface.co/datasets/AngeloUNIMI/Granulo-10k.sdxl-generated-10k
SDXL Generated Images Dataset (10,000 images)
This dataset contains 10,000 AI-generated images created with Stable Diffusion XL for training an AI image detector.
Dataset Details
Model: Stable Diffusion XL Base 1.0
Total Images: 10,000
Resolution: 1024×1024 pixels
Format: JPEG (quality 95)
Inference Steps: 10
Guidance Scale: 7.0
Random Seeds: Unique per image for maximum diversity
Generation Date: 2025-12-30
Prompt Diversity
Images generated with diverse… See the full description on the dataset page: https://huggingface.co/datasets/ash12321/sdxl-generated-10k.BnW-vs-Colored-10K
BnW-vs-Colored-10K
BnW-vs-Colored-10K is a curated dataset of 10,000 images designed for binary image classification tasks distinguishing between black & white (BnW) and colored images. This dataset can be used for training models in visual recognition, restoration, or filtering pipelines involving grayscale and color detection.
Dataset Summary
Task: Binary Image Classification
Modalities: Image
Formats: Parquet
Split: Train (10,000 images)
Labels: B & W (Black and… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/BnW-vs-Colored-10K.Face-Age-10K
Face-Age-10K Dataset
The Face-Age-10K dataset consists of over 9,000 facial images annotated with age group labels. It is designed for training machine learning models to perform age classification from facial features.
Dataset Details
Total Images: 9,165
Image Size: 200x200 pixels
Format: Parquet
Modality: Image
Split:
train: 9,165 images
Labels
The dataset includes 8 age group classes:
labels_list = [
'age 01-10',
'age 11-20',
'age 21-30'… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Face-Age-10K.Shoe-Net-10K
Shoe-Net-10K Dataset
The Shoe-Net-10K dataset is a curated collection of 10,000 shoe images annotated for multi-class image classification. This dataset is suitable for training deep learning models to recognize different types of shoes from images.
Dataset Details
Total Images: 10,000
Image Size: Varies (typical width range: 94 px to 519 px)
Format: Parquet
Split:
train: 10,000 images
Modality: Image
License: Apache 2.0
Labels
The dataset includes 5… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Shoe-Net-10K.text2glioma-synthetic-10k
Text2Glioma synthetic MRI dataset (10k)
10,000 synthetic 4-sequence (T1, T1CE, T2, FLAIR) 3D brain MRIs at
160 × 224 × 160, 1 mm isotropic (NIfTI, .nii.gz), generated by the
Text2Glioma latent diffusion model conditioned on VASARI radiology
prompts and expert-derived tumor segmentation masks.
Clinical and commercial usage
This dataset and the Text2Glioma model are for research purposes only.
The authors expressly disavow any work that uses this dataset for… See the full description on the dataset page: https://huggingface.co/datasets/vasileionromaioi/text2glioma-synthetic-10k.Deepfake-QA-10K-OPT
Deepfake Quality Assessment
Deepfake QA is a Deepfake Quality Assessment model designed to analyze the quality of deepfake images & videos. It evaluates whether a deepfake is of good or bad quality, where:
0 represents a bad-quality deepfake
1 represents a good-quality deepfake
This classification serves as the foundation for training models on deepfake quality assessment, helping improve deepfake detection and enhancement techniques.
Citation… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Deepfake-QA-10K-OPT.