datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
object-segmentationvhr-building-segmentation
HOT Building Segmentation Dataset
Dataset Description
A semantic segmentation dataset for building footprint extraction from aerial imagery, built from validated Humanitarian OpenStreetMap Team (HOT) Tasking Manager projects that use OpenAerialMap (OAM) imagery.
Dataset Summary
This dataset pairs 256x256 aerial image tiles (zoom level 19) from OpenAerialMap with building footprint labels from OpenStreetMap. All source projects have been fully… See the full description on the dataset page: https://huggingface.co/datasets/hotosm/vhr-building-segmentation.cityscapes_segmentationsemantic-segmentation-test-sampleThis dataset contains 10 examples of the segments/sidewalk-semantic dataset (i.e. 10 images with corresponding ground-truth segmentation maps).
SoccerNet_Field_SegmentationProcessed data from the Soccernet 2023 dataset. Processing notebook is included in this repo.
To see an example:
def show_item(item):
fig, axs = plt.subplots(nrows = 1, ncols = 4, figsize = (20, 4))
axs[0].imshow(item['image'])
axs[0].set_title("Image")
axs[0].axis('off')
axs[1].imshow(overlay_mask(item['image'], item['outlines']))
axs[1].set_title("Outlines")
axs[1].axis('off')
axs[2].imshow(show_segments(item['segments']))
axs[2].set_title("Segments")… See the full description on the dataset page: https://huggingface.co/datasets/nreHieW/SoccerNet_Field_Segmentation.table_spill_cleanup_bimanual_rgbd_segmentation_poses
Exylos Bimanual Table Spill Cleanup Rich-Modality Sample
A compact, rich-modality bimanual robot manipulation dataset for tabletop spill cleanup.
Each episode combines synchronized dual-arm Panda state/action trajectories, 7 RGB camera streams, per-frame depth maps, per-frame segmentation masks, object pose streams, phase annotations, and an objective cleanup success metric based on the remaining spill fraction.
This dataset is a rich-modality inspection sample for the Exylos… See the full description on the dataset page: https://huggingface.co/datasets/ExylosAi/table_spill_cleanup_bimanual_rgbd_segmentation_poses.agri-vision-2021-segmentationhot-building-segmentation
HOT Building Segmentation Dataset
Dataset Description
A semantic segmentation dataset for building footprint extraction from aerial imagery, built from validated Humanitarian OpenStreetMap Team (HOT) Tasking Manager projects that use OpenAerialMap (OAM) imagery.
Dataset Summary
This dataset pairs 256x256 aerial image tiles (zoom level 19) from OpenAerialMap with building footprint labels from OpenStreetMap. All source projects have been fully validated through… See the full description on the dataset page: https://huggingface.co/datasets/kshitijrajsharma/hot-building-segmentation.fashion_segmentationiMaterialist-2020-fashion-clothes-segmentation-train-part1armbench-segmentation-mix-object-toteThis is data from the Amazon Armbench dataset (https://armbench.s3.amazonaws.com/index.html).
crack-segmentation-dataset
Dataset Card for "crack-segmentation-dataset"
More Information needed
fashion_segmentationbrain-tumor-image-dataset-semantic-segmentation
Dataset Card for "brain-tumor-image-dataset-semantic-segmentation"
Dataset Description
The Brain Tumor Image Dataset (BTID) for Semantic Segmentation contains MRI images and annotations aimed at training and evaluating segmentation models. This dataset was sourced from Kaggle and includes detailed segmentation masks indicating the presence and boundaries of brain tumors.
This dataset can be used for developing and benchmarking algorithms for medical image segmentation… See the full description on the dataset page: https://huggingface.co/datasets/dwb2023/brain-tumor-image-dataset-semantic-segmentation.et_handwriting_segmentation
Dataset of Text Region and Line Coordinates in Handwritten Estonian Documents
Dataset Description
This dataset contains coordinate annotations for Estonian historical documents, extracted from Transkribus exports. It includes full page images with precise coordinate information for text regions and text lines, designed for text detection, layout analysis, and document structure understanding tasks.
📊 Dataset Summary
Total Examples: 7,664 images
Language: 🇪🇪… See the full description on the dataset page: https://huggingface.co/datasets/Rahvusarhiiv/et_handwriting_segmentation.reassembler-segmentation-250kstreetview_segmentationsroad-pothole-segmentationwelding-component-segmentationcoco2017-segmentation-50k-256x256
📄 License and Attribution
This dataset is a downsampled version of the COCO 2017 dataset, tailored for segmentation tasks. It has the following fields:
image: 256x256 image
segmentation: 256x256 image. Each pixel encodes the class of that pixel. See class_names_dict.json for a legend.
captions: a list of captions for the image, each by a different labeler.
Use the dataset as follows:
import requests
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/peteole/coco2017-segmentation-50k-256x256.weedy_rice_segmentation
Weedy Rice Segmentation
A dataset for semantic segmentation of weedy rice. The dataset contains 734 images with pixel-level mask annotations.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
The original train/test/val split has been preserved in the split column.
Citation
@article{nguyen2025dataset,
title={A dataset of aligned RGB and multispectral UAV imagery for semantic segmentation of weedy rice}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/weedy_rice_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/merve/satellite-building-segmentation.generated-passports-segmentation
GENERATED USA Passports Segmentation
The dataset contains a collection of images representing GENERATED USA Passports. Each passport image is segmented into different zones, including the passport zone, photo, name, surname, date of birth, sex, nationality, passport number, and MRZ (Machine Readable Zone).
The dataset can be utilized for computer vision, object detection, data extraction and machine learning models.
Generated passports can assist in conducting research without… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/generated-passports-segmentation.greenhouse_leafy_segmentation
Greenhouse Leafy Segmentation
A dataset for semantic segmentation of plants growing in a greenhouse hydroponic environment. The dataset contains 3,348 images with pixel-level mask annotations.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{cardenasgallegos2025reliable,
title={Reliable plant segmentation under variable greenhouse illumination conditions},
author={Cardenas-Gallegos, Jonathan S.… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/greenhouse_leafy_segmentation.vineyard_grape_segmentation
Vineyard Grape Segmentation
A dataset for semantic segmentation of grape bunches in a vineyard. The dataset contains 646 images with pixel-level mask annotations.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{ariza2023dataset,
title={Dataset on UAV RGB videos acquired over a vineyard including bunch labels for object detection and tracking},
author={Ariza-Sent{\'\i}s, Mar and V{\'e}lez, Sergio… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/vineyard_grape_segmentation.pine_wilt_segmentation
Pine Wilt Segmentation
This dataset provides high-resolution aerial RGB imagery of pine forests in Jinju, South Korea, captured in January 2023 for semantic segmentation tasks focused on pine wilt disease detection. Acquired at 5-cm resolution using Korea Aerospace Research Institute (KARI) aerial platforms, the images depict field conditions with varying disease severity across pine tree canopies. The real-world, high-detail aerial data offers a practical resource for… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/pine_wilt_segmentation.Segmentation_Reward_DPO_condelwha-segmentation-predictarmbench-segmentation-mix-object-toteThis is data from the Amazon Armbench dataset (https://armbench.s3.amazonaws.com/index.html).
onion_weed_segmentation
Onion Weed Segmentation
This dataset provides real RGB imagery of onion fields with weed infestations, captured directly in agricultural field environments. It is designed for semantic segmentation tasks to identify and delineate weed areas within onion crop contexts under typical farming conditions. The dataset contains 20 images with pixel-level mask annotations.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/onion_weed_segmentation.