datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cholect50
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.DeepPatent
Dataset Card for DeepPatent
This is a FiftyOne dataset with 46179 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/DeepPatent")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/DeepPatent.iam_handwriting_finevision
Dataset Card for finevision_iam
This is a FiftyOne dataset with 5663 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/iam_handwriting_finevision")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/iam_handwriting_finevision.IndoorSceneRecognition
Dataset Card for IndoorSceneRecognition
The database contains 67 Indoor categories, and a total of 15620 images. The number of images varies across categories, but there are at least 100 images per category. All images are in jpg format.
This is a FiftyOne dataset with 15620 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/IndoorSceneRecognition.mvtec-ad
Dataset Card for MVTec AD
This dataset originates from MVTec but is provided in a different format. You can easily load it using FiftyOne
The total number of samples remains the same as the original: 5,354.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/mvtec-ad.American-Sign-Language-MNIST
Dataset Card for ASL-MNIST
This is a FiftyOne dataset with 34,627 samples of American Sign Language (ASL) alphabet images, converted from the original Kaggle Sign Language MNIST dataset into a format optimized for computer vision workflows.
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… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/American-Sign-Language-MNIST.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.VisDrone2019-DET
Dataset Card for VisDrone2019-DET
This is a FiftyOne version of the VisDrone2019-DET dataset with 8629 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', 'persistent`, 'overwrite' etc
dataset = fouh.load_from_hub("Voxel51/VisDrone2019-DET")
# Launch the App
session =… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/VisDrone2019-DET.PIDray
Dataset Card for pidray
PIDray is a large-scale dataset which covers various cases in real-world scenarios for prohibited item detection, especially for deliberately hidden items. The dataset contains 12 categories of prohibited items in 47, 677 X-ray images with high-quality annotated segmentation masks and bounding boxes.
This is a FiftyOne dataset with 9482 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/PIDray.aimotive-multimodal
Dataset Card for aiMotive Multimodal Dataset
The aiMotive Multimodal Dataset is a 176-scene autonomous driving dataset
with synchronized and calibrated LiDAR, camera, and radar sensors providing
360-degree field-of-view coverage with sensor redundancy. Scenes were
captured in highway, urban, and suburban environments across three countries
during daytime, night, and rain. The dataset contains 26,583 annotated
frames with 3D bounding boxes for 14 object classes (425k+ instances)… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/aimotive-multimodal.WLASL
Dataset Card for WLASL
This is a FiftyOne video dataset with 11980 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("Voxel51/WLASL")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/WLASL.InsPLAD
Dataset Card for InsPLAD
This is a FiftyOne dataset with 49706 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/InsPLAD")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/InsPLAD.tomato-map
Dataset Card for TomatoMAP
This is a FiftyOne dataset with 68,069 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/tomato-map")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/tomato-map.kitscenes-multimodal
KITScenes Multimodal — FiftyOne Dataset
A FiftyOne build of KITScenes Multimodal (KIT-MRT), a high-fidelity European
urban autonomous-driving dataset. Each frame is a synchronized capture from a
full robotaxi sensor suite — nine global-shutter cameras giving 360° coverage,
seven long-range lidars, and three 4D imaging radars — paired with production-grade
Lanelet2 HD-map labels, projected lidar depth, the future ego path, and image
instance predictions.
This build packages… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/kitscenes-multimodal.quickstart-3d
Dataset Card for quickstart-3d
This is a FiftyOne dataset with 200 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("Voxel51/quickstart-3d")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/quickstart-3d.FloorPlanCAD
Dataset Card for FloorPlanCAD (test split)
This is a FiftyOne dataset with 5308 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/FloorPlanCAD")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/FloorPlanCAD.spatial_lm_dataset
Dataset Card for Spatial LM
This is a FiftyOne 3D dataset with 19,992 samples representing indoor room point clouds with structured 3D layout and object annotations from the SpatialLM benchmark.
Each sample is an .fo3d scene containing a coloured point cloud with overlaid 3D bounding box annotations for walls, doors, windows, and furniture/objects — all browsable and queryable in the FiftyOne App.
Installation
If you haven't already, install FiftyOne:
pip install -U… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/spatial_lm_dataset.PKLot
Dataset Card for PKLot
PKLot is a robust dataset for parking lot classification containing 12,416 images captured from three different parking lots (PUCPR, UFPR04, UFPR05) under various weather conditions (sunny, cloudy, rainy). Each image includes detailed annotations for individual parking spaces with occupancy status, resulting in approximately 695,900 segmented parking space instances.
This is a FiftyOne dataset with 12,416 samples.
Installation
If you haven't… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/PKLot.Describable-Textures-Dataset
Dataset Card for Describable Textures Dataset
This is a FiftyOne dataset with 5640 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("Voxel51/Describable-Textures-Dataset")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/Describable-Textures-Dataset.high-quality-invoice-images-for-ocr
Dataset Card for high_quality_invoice_images_ocr
This is a FiftyOne dataset containing 8,181 high-quality synthetic invoice images for OCR and document understanding tasks. The dataset includes 1,489 fully annotated samples with structured JSON metadata and raw OCR text, plus 6,692 unannotated images for semi-supervised learning or annotation projects.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/high-quality-invoice-images-for-ocr.severstal_steel_defects
Dataset Card for severstal_steel_defects
This is a FiftyOne dataset with 18074 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/severstal_steel_defects")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/severstal_steel_defects.WaveUI-25k
Dataset Card for WaveUI-25k
This is a FiftyOne dataset with 24977 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/WaveUI-25k")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/WaveUI-25k.SoccerNet-V3
Dataset Card for SoccerNet-V3
SoccerNet is a large-scale dataset for soccer video understanding. It has evolved over the years to include various tasks such as action spotting,
camera calibration, player re-identification and tracking. It is composed of 550 complete broadcast soccer games and 12 single camera games
taken from the major European leagues. SoccerNet is not only dataset, but also yearly challenges where the best teams compete at the international level.
This is a… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/SoccerNet-V3.STONE
Dataset Card for STONE
STONE is a large-scale multi-modal dataset for off-road 3D traversability prediction, collected by autonomous ground vehicles across four outdoor environments in South Korea. It provides 7,000 keyframes with surround-view imagery from 6 cameras (1904×1200), 128-channel LiDAR scans (230K points), and voxel-level traversability annotations classifying terrain into free, traversable, potentially traversable, and non-traversable regions. Following the… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/STONE.TartanRGBT
TartanRGBT Dataset Card
TartanRGBT is a hardware-synchronized RGB–thermal robotics dataset from CMU AirLab's AnyThermal project (ICRA 2026). Features co-registered stereo RGB and thermal images across indoor, urban, park, and off-road environments.
This subset:
15 trajectories
5,952 timesteps
1 Hz sampling
23,808 FiftyOne samples
This is a FiftyOne dataset with 5952 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/TartanRGBT.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.CropAndWeed
Dataset Card for CropAndWeed
This is a FiftyOne dataset with 8,034 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
dataset = fouh.load_from_hub("Voxel51/CropAndWeed")
session = fo.launch_app(dataset)
Dataset Details
Dataset Description
The CropAndWeed dataset is a large-scale, high-variability image dataset… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/CropAndWeed.AppleGrowthVision
Dataset Card for AppleGrowthVision
This is a FiftyOne dataset with 11,397
groups (21,407 samples) of apple orchard imagery.
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/AppleGrowthVision")
# Launch the App
session =… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/AppleGrowthVision.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.OxfordFlowers102
Dataset Card for Oxford Flowers 102
This is a FiftyOne dataset with 8189 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("Voxel51/OxfordFlowers102")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/OxfordFlowers102.