Datasets

HaGRID Gesture Recognition Subset Dataset Description A curated subset of the HaGRID (Hand Gesture Recognition Image Dataset) containing 24 gesture classes for training gesture recognition models. Dataset Summary Total Images: 19,200 Gesture Classes: 24 Samples per Class: 800 Image Format: JPEG Average Image Size: ~302 KB Splits Split Images Percentage Train 14,592 76% Val 1,728 9% Test 2,880 15%… See the full description on the dataset page: https://huggingface.co/datasets/s17660101713/hagrid-subset.

Model Card for HEST-1k What is HEST-1k? A collection of 1,276 spatial transcriptomic profiles, each linked and aligned to a Whole Slide Image (with pixel size < 1.15 µm/px) and metadata. HEST-1k was assembled from 180 public and internal cohorts encompassing: 26 organs 2 species (Homo Sapiens and Mus Musculus) 398 cancer samples from 25 cancer types. HEST-1k processing enabled the identification of >1.5 million expression/morphology pairs and >76 million nuclei… See the full description on the dataset page: https://huggingface.co/datasets/MahmoodLab/hest.

Dataset Card for CIFAR-100 Dataset Summary The CIFAR-100 dataset consists of 60000 32x32 colour images in 100 classes, with 600 images per class. There are 500 training images and 100 testing images per class. There are 50000 training images and 10000 test images. The 100 classes are grouped into 20 superclasses. There are two labels per image - fine label (actual class) and coarse label (superclass). Supported Tasks and Leaderboards image-classification: The… See the full description on the dataset page: https://huggingface.co/datasets/uoft-cs/cifar100.

RSCD: Road Surface Condition Dataset Dataset Description The Road Surface Condition Dataset (RSCD) is a large-scale image dataset containing over 1 million images for road surface condition classification. This dataset is designed for training computer vision models to identify and classify various road surface types, moisture conditions, and damage severity levels. Dataset Summary Total Images: ~1,028,000 images Image Format: JPG Use Cases: Road condition… See the full description on the dataset page: https://huggingface.co/datasets/rezzzq/RSCD-1million.

Dataset Card for Fotoyu Album Archive This dataset stores photo and video collections archived from Fotoyu albums using the potoyu-tree-downloader application. It is designed to act as a high-speed Cloudflare-backed CDN for serving static media assets, as well as providing a dataset for image/video classification and machine learning model training. Dataset Details Dataset Description The dataset aggregates scraped photo galleries and video albums… See the full description on the dataset page: https://huggingface.co/datasets/TierKun/Indonesian-running-photos.

Typed Digital Signatures Dataset This comprehensive dataset contains synthetic digital signatures rendered across 30 different Google Fonts, specifically selected for their handwriting and signature-style characteristics. Each font contributes unique stylistic elements, making this dataset ideal for robust signature analysis and font recognition tasks. Dataset Overview Total Fonts: 30 different Google Fonts Images per Font: 3,000 signatures Total Dataset Size: ~90,000… See the full description on the dataset page: https://huggingface.co/datasets/Benjy/typed_digital_signatures.

Dataset Card for Food-101 Dataset Summary This dataset consists of 101 food categories, with 101'000 images. For each class, 250 manually reviewed test images are provided as well as 750 training images. On purpose, the training images were not cleaned, and thus still contain some amount of noise. This comes mostly in the form of intense colors and sometimes wrong labels. All images were rescaled to have a maximum side length of 512 pixels. Supported Tasks and… See the full description on the dataset page: https://huggingface.co/datasets/ethz/food101.

Stanford Cars Dataset Dataset Overview Splits: Training: 8144 images used for model training. Test: 8041 images used for evaluation. Contrast: 8041 images with high contrast for robustness testing. Gaussian Noise: 8041 images corrupted by Gaussian noise for robustness testing. Impulse Noise: 8041 images corrupted by impulse noise for robustness testing. JPEG Compression: 8041 compressed images for robustness testing. Motion Blur: 8041 images with motion blur for… See the full description on the dataset page: https://huggingface.co/datasets/tanganke/stanford_cars.

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.

Dataset Summary This is a copy of the full ImageNet dataset consisting of all of the original 21841 clases. It also contains labels in a separate field for the '12k' subset described at at (https://github.com/rwightman/imagenet-12k, https://huggingface.co/datasets/timm/imagenet-12k-wds) This dataset is from the original fall11 ImageNet release which has been replaced by the winter21 release which removes close to 3000 synsets containing people, a number of these are of an offensive… See the full description on the dataset page: https://huggingface.co/datasets/timm/imagenet-22k-wds.

NVIDIA Physical AI SimReady Warehouse OpenUSD Dataset Dataset Version: 1.1.0 Date: May 18, 2025 Author: NVIDIA, Corporation License: CC-BY-4.0 (Creative Commons Attribution 4.0 International) Contents This dataset includes the following: This README file A CSV catalog that enumerates all of the OpenUSD assets that are part of this dataset including a sub-folder of images that showcase each 3D asset (physical_ai_simready_warehouse_01.csv). The CSV file is organized in… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PhysicalAI-SimReady-Warehouse-01.

VLM Plant Sim This dataset update merges three sources into source-based splits: synthetic: HELIOS simulation outputs from 2025 Davis generation. real: orthophoto patches (PNG only). real_dap10_boxes: annotated patch subset (plots 1-16 only). Splits synthetic: 2797 real: 560 real_dap10_boxes: 224 Notes Real split intentionally excludes method outputs (*.json and *.md) from evaluation artifacts. Initial-plant split includes only samples where… See the full description on the dataset page: https://huggingface.co/datasets/heesup/vlm-plant-sim.

English | 中文 News Our work has been accepted by ICML 2026 as a poster. 🎉🎉 The paper has released on ArXiv. The code has released on Github. Treasure Dataset Treasure is the dataset companion to Fleet (Fleet: Few Shots Lead Effective AI-generated Images Detection), designed for AI-generated image detection in an open-world setting where generators evolve and distribution shift is central. Unlike saturated results on closed datasets, Treasure/Fleet emphasizes… See the full description on the dataset page: https://huggingface.co/datasets/ThreeLiu/Treasure.

CholecT50 Dataset (FiftyOne Format) This is a FiftyOne dataset version of the CholecT50 dataset. CholecT50 is a dataset of laparoscopic cholecystectomy surgeries, annotated with surgical action triplets. It is the first public dataset to provide action triplet annotations for surgical videos, enabling research in fine-grained surgical activity recognition. Dataset Summary CholecT50 consists of 50 videos of laparoscopic cholecystectomy surgeries. Each frame is annotated… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/cholect50.

TempoFunk S(mall)Dance 10k samples of metadata and encoded latents & prompts of videos themed around dance. Data format Video frame latents Numpy arrays 120 frames, 512x512 source size Encoded shape (120, 4, 64, 64) CLIP (openai) encoded prompts Video description (as seen in metadata) Encoded shape (77,768) Video metadata as JSON (description, tags, categories, source URLs, etc.)

Dataset Card for OpenFake OpenFake is a dataset and benchmark for detecting AI-generated images, with a focus on politically and socially salient content where misinformation risk is highest. It pairs real photographs with synthetic counterparts produced by a wide range of frontier proprietary generators, open-source diffusion models, and community fine-tunes. A separate in-the-wild test set is sourced from Reddit to evaluate detector performance on naturally circulated synthetic… See the full description on the dataset page: https://huggingface.co/datasets/ComplexDataLab/OpenFake.

MR-RATE: A Vision-Language Foundation Model and Dataset for Magnetic Resonance Imaging Welcome to the official page for MR-RATE, a pioneering vision-language model and 3D medical imaging dataset that pairs textual reports with brain and spine MRI volumes. Following the approach of CT-RATE, the first 3D medical imaging dataset to pair images with textual reports, MR-RATE offers brain and spine MRI volumes matched with… See the full description on the dataset page: https://huggingface.co/datasets/Forithmus/MR-RATE.