Datasets
Training datasets with quantum-safe provenance
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.
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.
Game Character Skins Dataset Summary This comprehensive dataset contains game character skins and artwork from multiple popular mobile and PC games, providing a rich collection of character visual assets for computer vision research and game development applications. The dataset spans eight major game titles including Arknights, Azur Lane, Blue Archive, Fate/Grand Order, Genshin Impact, Girls' Frontline, Neural Cloud, Nikke, Path to Nowhere, and Honkai: Star Rail… See the full description on the dataset page: https://huggingface.co/datasets/deepghs/game_character_skins.
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.
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.
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.
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.
If you have questions about this dataset , feel free to ask them on the fusion-discord : https://discord.gg/8TVHPf6Edn This collection contains sets from the fusion-t2i-ai-generator on perchance. This datset is used in this notebook: https://huggingface.co/datasets/codeShare/text-to-image-prompts/tree/main/Google%20Colab%20Notebooks To see the full sets, please use the url "https://perchance.org/" + url , where the urls are listed below: _generator gen_e621 fusion-t2i-e621-tags-1… See the full description on the dataset page: https://huggingface.co/datasets/codeShare/text-to-image-prompts.
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.