datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
PhysicalAI-SimReady-Warehouse-01
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.PASTIS-HD
🌱 PASTIS-HD 🌿 Panoptic Agricultural Satellite TIme Series : optical time series, radar time series and very high resolution image
PASTIS is a benchmark dataset for panoptic and semantic segmentation of agricultural parcels from satellite time series.
It contains 2,433 patches within the French metropolitan territory with panoptic annotations (instance index + semantic label for each pixel).
Each patch is a Sentinel-2 multispectral image time series of variable lentgh.
This… See the full description on the dataset page: https://huggingface.co/datasets/IGNF/PASTIS-HD.tiny-imagenet
Dataset Card for tiny-imagenet
Dataset Summary
Tiny ImageNet contains 100000 images of 200 classes (500 for each class) downsized to 64×64 colored images. Each class has 500 training images, 50 validation images, and 50 test images.
Languages
The class labels in the dataset are in English.
Dataset Structure
Data Instances
{
'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=64x64 at 0x1A800E8E190,
'label': 15
}… See the full description on the dataset page: https://huggingface.co/datasets/zh-plus/tiny-imagenet.oxford-iiit-pet
The Oxford-IIIT Pet Dataset
Description
A 37 category pet dataset with roughly 200 images for each class. The images have a large variations in scale, pose and lighting.
This instance of the dataset uses standard label ordering and includes the standard train/test splits. Trimaps and bbox are not included, but there is an image_id field that can be used to reference those annotations from official metadata.
Website: https://www.robots.ox.ac.uk/~vgg/data/pets/… See the full description on the dataset page: https://huggingface.co/datasets/timm/oxford-iiit-pet.imagenet-1k-256x256
Repack Information
This repository contains a complete repack of ILSVRC/imagenet-1k in Parquet format with the following data transformations:
Images were center-cropped to square to the minimum height/width dimension.
Images were then rescaled to 256x256 using Lanczos resampling.
Dataset Card for ImageNet
Dataset Summary
ILSVRC 2012, commonly known as 'ImageNet' is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in… See the full description on the dataset page: https://huggingface.co/datasets/benjamin-paine/imagenet-1k-256x256.britannica-illustrated-pages
Britannica Illustrated Pages
115,293 illustrated pages from scanned volumes of the Encyclopaedia Britannica, 1st edition
(1768–71) to 14th (1929), selected by a page classifier from 975,345 pages in 1,160 volumes
(838 Internet Archive items). A second config carries the classifier
score, OCR word count and provenance for every one of the 975,345 pages.
Two things the scan showed:
82% of the illustrated pages are text pages (≥100 OCR words) — figures, diagrams and
engravings set… See the full description on the dataset page: https://huggingface.co/datasets/biglam/britannica-illustrated-pages.PaveBench
PaveBench: A Versatile Benchmark for Pavement Distress Perception and Interactive Vision-Language Analysis
Abstract
PaveBench is a large-scale benchmark for pavement distress perception and interactive vision-language analysis on real-world highway inspection images. It supports four core tasks: classification, object detection, semantic segmentation, and vision-language question answering. On the visual side, PaveBench provides large-scale annotations on real… See the full description on the dataset page: https://huggingface.co/datasets/MML-Group/PaveBench.invasive_plants_hawaii
Dataset Card for Invasive Plants Project
This dataset is aimed at the image multi-classification and segmentation of various leaf damage types caused by biocontrol agents. The dataset contains images of both the dorsal and ventral side of Clidemia Hirta leaves, that were all collected in January 2025 near Hilo (Hawaii), in dirt trails along Steinback Highway. Clidemia Hirta is a highly invasive plant on the island of Hawaii (Big Island).
Dataset Configurations and… See the full description on the dataset page: https://huggingface.co/datasets/imageomics/invasive_plants_hawaii.imagenet-1k
Repack Information
This repository contains a complete repack of ILSVRC/imagenet-1k in Parquet format, with no arbitrary code execution. Images were not resampled.
Dataset Card for ImageNet
Dataset Summary
ILSVRC 2012, commonly known as 'ImageNet' is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset". There are more than… See the full description on the dataset page: https://huggingface.co/datasets/benjamin-paine/imagenet-1k.PlantVillage
PlantVillage Dataset
The PlantVillage Dataset is an open access repository of 54,306 images of healthy and diseased plant leaves, collected to advance research in automated plant disease diagnosis. It covers 14 crop species and 26 diseases.
This dataset was introduced in the paper "Using Deep Learning for Image-Based Plant Disease Detection" by Mohanty et al. (2016).
Quick Start
The dataset comes with pre-defined 80/20 train/test splits that preserve the leaf grouping… See the full description on the dataset page: https://huggingface.co/datasets/mohanty/PlantVillage.MPII_Human_Pose_Dataset
Dataset Card for MPII Human Pose
MPII Human Pose dataset is a state of the art benchmark for evaluation of articulated human pose estimation.
The dataset includes around 25K images containing over 40K people with annotated body joints.
The images were systematically collected using an established taxonomy of every day human activities.
Overall the dataset covers 410 human activities and each image is provided with an activity label.
Each image was extracted from a YouTube… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/MPII_Human_Pose_Dataset.mahjong_souls_tiles
Dataset Card for Mahjong Souls Tiles
Dataset Details
Dataset Description
This dataset, pjura/mahjong_souls_tiles, contains images of Mahjong tiles extracted from the game Mahjong Soul. It was created specifically for the purpose of training computer vision models to recognize Mahjong tiles within the game interface.
The dataset was used to fine-tune the google/vit-base-patch16-224-in21k model, resulting in the pjura/mahjong_vision model available on Hugging… See the full description on the dataset page: https://huggingface.co/datasets/pjura/mahjong_souls_tiles.InpaintCOCO
InpaintCOCO - Fine-grained multimodal concept understanding (for color, size, and COCO objects)
Dataset Summary
A data sample contains 2 images and 2 corresponding captions that differ only in one object, the color of an object, or the size of an object.
Many multimodal tasks, such as Vision-Language Retrieval and Visual Question Answering, present results in terms of overall performance.
Unfortunately, this approach overlooks more nuanced concepts, leaving us unaware… See the full description on the dataset page: https://huggingface.co/datasets/phiyodr/InpaintCOCO.pacs
Dataset Card for PACS
PACS is an image dataset for domain generalization. It consists of four domains, namely Photo (1,670 images), Art Painting (2,048 images), Cartoon (2,344 images), and Sketch (3,929 images). Each domain contains seven categories (labels): Dog, Elephant, Giraffe, Guitar, Horse, and Person. The total number of sample is 9991.
Dataset Details
PACS DG dataset is created by intersecting the classes found in Caltech256 (Photo), Sketchy (Photo, Sketch)… See the full description on the dataset page: https://huggingface.co/datasets/flwrlabs/pacs.california-flourishing-pollination
California Flourishing & Pollination
DeepEarth × UC Berkeley QED Lab — a self-supervised spatial-feature dataset of every iNaturalist Research-grade observation of every California-native plant and every California-observed flying pollinator, encoded with DINOv3 ViT-L/16 plus PhenoVision flowering/fruiting probabilities.
Maintained by Ecological Intelligence, Inc. (Lance Legel, PI) in collaboration with the Quantitative Ecosystem Dynamics Lab at UC Berkeley (Trevor Keenan, PI).… See the full description on the dataset page: https://huggingface.co/datasets/deepearth/california-flourishing-pollination.PP
SteelBench: A Diagnostic Benchmark for Vision-Language Models in Industrial Safety Monitoring
SteelBench is a diagnostic benchmark of densely annotated CCTV clips from an
operating integrated steel plant. It is designed to evaluate vision-language
models (VLMs) on real-world industrial action recognition, PPE assessment,
and safety-violation detection — under naturally occurring degradation
(dust, glare, steam, low light), at distances and crowdedness levels that
curated… See the full description on the dataset page: https://huggingface.co/datasets/ThinkingHub/PP.imagenet-1k-32x32
Repack Information
This repository contains a complete repack of ILSVRC/imagenet-1k in Parquet format with the following data transformations:
Images were center-cropped to square to the minimum height/width dimension.
Images were then rescaled to 256x256 using Lanczos resampling. This dataset is available at benjamin-paine/imagenet-1k-256x256
Images were then rescaled to 128x128 using Lanczos resampling. This dataset is available at benjamin-paine/imagenet-1k-128x128.
Images were… See the full description on the dataset page: https://huggingface.co/datasets/benjamin-paine/imagenet-1k-32x32.reef-guidance-system
Dataset Card for Reef Guidance System
This dataset provides imagery used for training and evaluation of models in the Reef Guidance System. All imagery was collected by the Australian Institute of Marine Science using the ReefScan™ Transom Marine Monitoring System.
If you use this dataset in your work, please cite the associated paper: AI-driven dispensing of coral reseeding devices for broad-scale restoration of the Great Barrier Reef (citations provided at bottom of this… See the full description on the dataset page: https://huggingface.co/datasets/QCR-Underwater-Perception/reef-guidance-system.PlantWild
Dataset Card for PlantWild
This is a FiftyOne dataset with 30030 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/PlantWild")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/PlantWild.efficientnet-v2-l-adv-dataset
Perturb Adversarial Images
Verified adversarial examples for efficientnet_v2_l (torchvision/EfficientNet_V2_L_Weights.IMAGENET1K_V1), produced by the
Perturb network. Each row is one clean image together with all of its
verified adversarial versions: images that are imperceptibly different from the original
(L∞ ≤ 0.03 in [0,1] pixel scale) yet change the model's top-1 prediction.
This dataset grows continuously. New rows are appended as the network produces them and uploaded in… See the full description on the dataset page: https://huggingface.co/datasets/perturb-ai/efficientnet-v2-l-adv-dataset.xhs-travel-photos
XHS Travel Photos
Travel photography from Xiaohongshu (Little Red Book) across 19 destinations in China and Southeast Asia.
Dataset Summary
Metric
Count
Notes
2,882
Images
28,005
Total size
7.3 GB
Keyword folders
19
Destinations
Folder
Notes
bali
190
cambodia_angkor
200
chengdu
20
chiang_mai
213
chongqing
194
guilin
225
hainan_sanya
212
indonesia
215
laos
209
malaysia
198
myanmar
122
philippines
210… See the full description on the dataset page: https://huggingface.co/datasets/Rabornkraken/xhs-travel-photos.clearwrist-pediatric-wrist-xrayClearWrist: Pediatric Wrist Fracture X-Ray Dataset
20,327 labeled pediatric wrist radiographs, rebuilt from GRAZPEDWRI-DX with clean patient-level splits, verified fracture ground truth, and YOLO-style bounding box annotations.
Overview
This dataset packages the full GRAZPEDWRI-DX corpus, 20,327 pediatric wrist radiographs from 6,091 patients treated at the Department for Pediatric Surgery of the University Hospital Graz between… See the full description on the dataset page: https://huggingface.co/datasets/Layered-Labs/clearwrist-pediatric-wrist-xray.gently-perception-benchmark
Gently Perception Agent Benchmark
Light-sheet microscopy volumes of C. elegans embryo development, intended
for evaluating vision-based perception agents on embryo stage classification.
The dataset has two tiers:
Annotated benchmark set (embryo_1–embryo_8) — human ground-truth
stage transitions. Use this for evaluation.
Unannotated corpus (embryo_9–embryo_105) — 97 additional real embryo
timelapses with no human labels, provided for developing and stress-
testing perception… See the full description on the dataset page: https://huggingface.co/datasets/gently-project/gently-perception-benchmark.screenparse
ScreenParse: Large-Scale Dataset for Complete Screen Parsing
News
May 2026: ScreenParse v2 is released on main with more robust quality filtering, varied viewport resolutions, leaf-element annotations that reduce annotation noise, and 1,447,100 high-quality training screenshots. The first release is retained on the v1 branch.
Dataset Description
ScreenParse is a large-scale dataset for complete screen parsing, providing dense annotations of… See the full description on the dataset page: https://huggingface.co/datasets/docling-project/screenparse.imagenet-1k-64x64
Repack Information
This repository contains a complete repack of ILSVRC/imagenet-1k in Parquet format with the following data transformations:
Images were center-cropped to square to the minimum height/width dimension.
Images were then rescaled to 256x256 using Lanczos resampling. This dataset is available at benjamin-paine/imagenet-1k-256x256
Images were then rescaled to 128x128 using Lanczos resampling. This dataset is available at benjamin-paine/imagenet-1k-128x128.
Images were… See the full description on the dataset page: https://huggingface.co/datasets/benjamin-paine/imagenet-1k-64x64.imagenet-1k-128x128
Repack Information
This repository contains a complete repack of ILSVRC/imagenet-1k in Parquet format with the following data transformations:
Images were center-cropped to square to the minimum height/width dimension.
Images were then rescaled to 256x256 using Lanczos resampling. This dataset is available at benjamin-paine/imagenet-1k-256x256
Images were then rescaled to 128x128 using Lanczos resampling.
Dataset Card for ImageNet
Dataset Summary… See the full description on the dataset page: https://huggingface.co/datasets/benjamin-paine/imagenet-1k-128x128.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.ScreenSpot-Pro
Dataset Card for ScreenSpot-Pro
This is a FiftyOne dataset with 1581 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/ScreenSpot-Pro")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/ScreenSpot-Pro.pxhere
Dataset Card for pxhere Images
Dataset Summary
This dataset contains a large collection of high-quality photographs sourced from pxhere.com, a free stock photo website. The dataset includes approximately 1,100,000 images in full resolution covering a wide range of subjects including nature, people, urban environments, objects, animals, and landscapes. All images are provided under the Creative Commons Zero (CC0) license, making them freely available for personal and… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/pxhere.watercolour-reference-pool
Watercolour reference pool
The reference paintings that define the reward in the watercolour RL environment: an
agent writes a p5.brush sketch, the sketch is
rendered, and a vision judge compares the render against paintings sampled from this pool.
What the pool contains is the reward function. Replace it and you have changed what
the environment rewards, without touching a line of code.
178 paintings in two tiers, each with the JavaScript source that produced it.
tier… See the full description on the dataset page: https://huggingface.co/datasets/FineEnvs/watercolour-reference-pool.