datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
image-segmentation-toy-dataPleural-Line-Segmentation-Masks
Pleural-Line Masks with Stanford LUS Frames
Dataset Summary
This dataset contains pleural-line masks and their corresponding lung-ultrasound frames for anatomy-guided video classification.
The mask set includes:
masks created by four human annotators via sam2 model point promting and video aggregation;
masks predicted by a U-Net and subsequently reviewed and validated; and
the metadata required to reproduce the training pipeline.
The ultrasound frames originate… See the full description on the dataset page: https://huggingface.co/datasets/alyaalmsouti/Pleural-Line-Segmentation-Masks.universal-lesion-segmentation
Universal Lesion Segmentation Datasets
A collection of public medical imaging datasets for lesion segmentation in CT scans. These are the datasets exactly as downloaded from their original sources.
Datasets
This repository contains the following datasets:
CECT - Liver (primary). Luo J, Wang X, Zhang Y, et al. Comprehensive multi-phase three-dimensional contrast-enhanced CT imaging dataset for primary liver cancer. Scientific Data. 2025;12(1):768.… See the full description on the dataset page: https://huggingface.co/datasets/nielsRocholl/universal-lesion-segmentation.Synthetic_Dataset_for_Stirrup_Rebar_SegmentationA Synthetic Dataset for Stirrup Rebar Segmentation
The dataset contains:
A synthetic training set of 12,000 images, and a synthetic validation set of 4,000.
A synthetic test set of 4,800 images (only top rebars are annotated).
A real-world test set of 233 images (only top rebars are annotated).
Diverse rebar specifications, stacking, lighting, distractors, and background conditions.
Before usage
mkdir -p train_syn/train2017
mv train_syn/train2017_sub{1,2,3}/*… See the full description on the dataset page: https://huggingface.co/datasets/tsrobcvai/Synthetic_Dataset_for_Stirrup_Rebar_Segmentation.Imbalanced_Segmentation_Datasetsmask-for-image-segmentation-testsBraTS_segmentationlgg-mri-segmentation-research
LGG Brain MRI Segmentation with Genomic Clusters
This repository provides a Patient-Centric version of the Lower-Grade Glioma (LGG) Segmentation dataset. While other versions of this data exist, they often treat slices as independent images. This version preserves the 3D patient volume and integrates all genomic/clinical labels directly into a multimodal-ready format.
🌟 Why This Version?
Developed for Multimodal AI Research, this dataset addresses several limitations… See the full description on the dataset page: https://huggingface.co/datasets/Ehsan-rmz/lgg-mri-segmentation-research.medieval-segmentation
Dataset Card for CATMuS Medieval (Segmentation Version)
Join our Discord to ask questions about the dataset:
Dataset Details
CATMuS Medieval Segmentation (Consistent Approaches to Transcribing Manuscripts) is a specialized dataset designed for layout analysis of medieval manuscripts using the SegmOnto vocabulary for region and line classification. This dataset addresses the challenges associated with establishing consistent ground truth in layout analysis tasks… See the full description on the dataset page: https://huggingface.co/datasets/CATMuS/medieval-segmentation.object-segmentationFootball-Player-Segmentation
Dataset Card for football-player-segmentation
This dataset is specifically designed for computer vision tasks related to player detection and segmentation in foot goalkeeperders, and forwards, captured from various angles and distances.
This is a FiftyOne dataset with 512 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/Football-Player-Segmentation.Segmentation-Captioning-Assistant-Tuning-Datasynthetic_kidney_stone_segmentation_dataAVM_Segmentation_train
Dataset Card for AVM (Around View Monitoring) Semantic Segmentation Dataset
This repository provides a FiftyOne-compatible version of the AVM semantic segmentation dataset for autonomous parking systems, with enhanced metadata and visualization capabilities.
This is a FiftyOne dataset with 6763 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/AVM_Segmentation_train.rfdetr-segmentation-leibniz-dataset
Dataset Card for Leibniz's Manuscripts (Instance Segmentation Dataset)
This dataset comprises instance segmentation annotations in raw COCO format, used to train an RF-DETR-Seg-nano model for the automatic recognition of textual, graphical, and mathematical expression zones within the manuscripts of the philosopher and mathematician Gottfried Wilhelm Leibniz (17th-early 18th c.).
Dataset Details
Uses
Direct Use
This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/DenisaBumba/rfdetr-segmentation-leibniz-dataset.dam-segmentation
Dam Segmentation Dataset
Multispectral UAV Remote Sensing Data for Embankment Dam Segmentation
Dataset Summary
This dataset contains a series of multispectral image slices captured at the embankment dams and dikes
of the Belo Monte Hydroelectric Complex, located in the state of Pará, northern Brazil. Each image is
paired with its respective NDRE vegetation index values, binary segmentation mask and multiclass
segmentation mask.
The multispectral images were… See the full description on the dataset page: https://huggingface.co/datasets/andrematte/dam-segmentation.ESK_action_segmentationPaper | GitHub
🍳 EPFL-Smart-Kitchen: Action segmentation benchmark
📚 Introduction
Given an untrimmed video, action segmentation requires the model to predict one or multiple action classes for every frame.Given the absence of popular (and comprehensive) action segmentation benchmarks from 3D pose we built an action segmentation benchmark that compares the impact of different input data (body,hand,eyes, videofeatures).One might expect that actions such as moving through… See the full description on the dataset page: https://huggingface.co/datasets/amathislab/ESK_action_segmentation.segmentation-carla-drivingThis dataset consists of 80 episodes of driving data collected using an autopilot agent in CARLA simulator for training imitation learning models for autonomous driving tasks.
Each frame is structured as follows:
frame_data = {
'frame': the frame index,
'hlc': an integer representing the high-level command,
'light': an integer representing current traffic light status,
'controls': an array of [throttle, steer, brake],
'measurements':… See the full description on the dataset page: https://huggingface.co/datasets/nightmare-nectarine/segmentation-carla-driving.SpectralWaste-Segmentation
SpectralWaste Segmentation → FiftyOne (Grouped RGB + Hyperspectral)
The labeled split of SpectralWaste, rebuilt as a grouped FiftyOne dataset pairing each colour frame with its hyperspectral cube.
The recordings come from a working waste-sorting plant, looking down at the conveyor as material passes. Each frame is captured twice over, once in colour and once by a shortwave infrared camera reading 224 bands from about 900 to 1700 nm. Material that looks identical in colour… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/SpectralWaste-Segmentation.robotic-instrument-segmentation-miccai-2017tunnel-crack-segmentation-dataset
Complex Tunnel Crack Dataset (CTCD)
292 tunnel lining images (256 × 256) with pixel-level crack masks, collected from
52 highway tunnels in Yunnan and Zhejiang, China, using a high-speed tunnel
inspection vehicle. Crack pixels were manually
annotated in Photoshop with a 1–2 px brush sized by crack width.
This dataset was introduced in the CraSAM paper (Structural Control and Health
Monitoring, 2025), where it is used to evaluate cross-scenario generalization of… See the full description on the dataset page: https://huggingface.co/datasets/shiweiluo99/tunnel-crack-segmentation-dataset.GenSC-6G-Segmentation
GenSC-6G - Scalable Semantic Communication Framework and Dataset
This repository contains the first semantic communication dataset and playground, designed to be scalable, reproducible, and adaptable for a wide range of applications. The dataset and framework are tailored for semantic decoding, classification, and localization tasks in 6G applications, integrating generative AI and semantic communication. Implementation of GenSC-6G: A Prototype Testbed for Integrated Generative AI… See the full description on the dataset page: https://huggingface.co/datasets/CQILAB/GenSC-6G-Segmentation.ROI-1555_Rebar_Detection_and_Instance_Segmentation_DatasetROI-1555: Rebar Detection and Instance Segmentation Dataset
ROI-1555 for rebar object detection and instance segmentation contains 1555 rebar images and their fine-labeled bounding boxes and pixel-wise masks.
Diverse rebar specifications, layouts, application scenarios, and environmental conditions.
Usage
Here is an example to convert the annotations to MSCOCO 2017 format
python
cp -r 1260/img_label tools/data_annotated/train2017
cd tools
python labelme2coco_instance.py… See the full description on the dataset page: https://huggingface.co/datasets/tsrobcvai/ROI-1555_Rebar_Detection_and_Instance_Segmentation_Dataset.pcb-defect-segmentation
Dataset Labels
['dry_joint', 'incorrect_installation', 'pcb_damage', 'short_circuit']
Number of Images
{'valid': 25, 'train': 128, 'test': 36}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/pcb-defect-segmentation", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/diplom-qz7q6/defects-2q87r/dataset/8… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/pcb-defect-segmentation.Medical_Segmentation_Decathlon
🏆 Medical Segmentation Decathlon Dataset
📝 Overview
The Medical Segmentation Decathlon (MSD) is a comprehensive benchmark dataset for validating algorithms in 3D medical image segmentation. It includes 10 distinct tasks, each with unique challenges like small data sizes, unbalanced labels, varying object scales, multi-class labels, and multimodal imaging.
🔗 Dataset Access
🌐 Website: Medical Decathlon
📂 Google Drive: MSD Google Drive
🧩 Task… See the full description on the dataset page: https://huggingface.co/datasets/Novel-BioMedAI/Medical_Segmentation_Decathlon.robotic-scene-segmentation-miccai-2018face-segmentation-image-dataset
Image Dataset of Face Segmentation for recognition tasks
Dataset comprises 87,800+ images annotated with 100+ landmarks, providing a comprehensive foundation for research in face recognition, segmentation tasks, and object recognition. It is designed to support the development of learning models, recognition algorithms, and segmentation techniques.
By utilizing this dataset, researchers and developers can advance their understanding and capabilities in facial recognition, face… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/face-segmentation-image-dataset.pothole-segmentation
Dataset Labels
['pothole']
Number of Images
{'test': 5, 'train': 80, 'valid': 5}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/pothole-segmentation", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/imacs-pothole-detection-wo8mu/pothole-detection-irkz9/dataset/4
Citation
@misc{… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/pothole-segmentation.satellite-building-segmentation
Dataset Labels
['building']
Number of Images
{'train': 6764, 'valid': 1934, 'test': 967}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/satellite-building-segmentation", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/roboflow-universe-projects/buildings-instance-segmentation/dataset/1
Citation… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/satellite-building-segmentation.sorghum_weed_segmentation
Sorghum Weed Segmentation
A dataset for semantic segmentation of weeds in a sorghum plot. The dataset contains 252 images with pixel-level mask annotations. In the masks, 0 is the background, 1 is sorghum, 2 is grass, and 3 is broadleaf weed.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{justina2024sorghumweeddataset_classification,
title={SorghumWeedDataset\_Classification and… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/sorghum_weed_segmentation.