datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
RGB-Event-ISP-Dataset3d-front-rgbRGBench-Cloth-Sim2Real-v1
RGBench Cloth Sim-to-Real (v1)
🌐 Project page: https://rgbench.github.io/ · 📦 Code: https://github.com/hwk0809/RGBench
Nine carefully captured garments — three bimanual manipulation actions
each (fling / fold / grasp) — with real-world ground truth point
clouds for evaluating any cloth simulator's sim-to-real gap. Released
as the evaluation half of the AAAI 2026 paper Real Garment Benchmark
(RGBench).
The larger 6 000+ garment-mesh asset library and the GarmentDynamics… See the full description on the dataset page: https://huggingface.co/datasets/RGBench/RGBench-Cloth-Sim2Real-v1.EuroSAT_RGB
EuroSAT RGB
EUROSAT RGB is the RGB version of the EUROSAT dataset based on Sentinel-2 satellite images covering 13 spectral bands and consisting of 10 classes with 27000 labeled and geo-referenced samples.
Paper: https://arxiv.org/abs/1709.00029
Homepage: https://github.com/phelber/EuroSAT
Description
The EuroSAT dataset is a comprehensive land cover classification dataset that focuses on images taken by the ESA Sentinel-2 satellite. It contains a total of 27… See the full description on the dataset page: https://huggingface.co/datasets/blanchon/EuroSAT_RGB.eurosat-rgb
EuroSat (RGB)
Description
A dataset based on Sentinel-2 satellite images covering 13 spectral bands and consisting of 10 classes with 27000 labeled and geo-referenced samples. This is the RGB version of the dataset with visible bands encoded as JPEG images.
The dataset does not have any default splits. Train, validation, and test splits were based on these definitions here… See the full description on the dataset page: https://huggingface.co/datasets/timm/eurosat-rgb.M3FD_RGBTRGB-Event-ISP-DatasetTUM_RGBD-SLAMfMoW_rgbTUM_RGBD-SLAMOVIS_RGBD
OVIS_RGBD
The dataset is for paper "Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation".
You can find the usages in GitHub.
The original frame images and annotations are from OVIS. We use DepthAnythingV2 to perform monocular depth estimation on all images. We concatenate depth map on the channel demension and each image is in RGBD format.
Citations
@InProceedings{niu2025,
author = {Niu, Quanzhu and Zhou, Yikang and Chen, Shihao and… See the full description on the dataset page: https://huggingface.co/datasets/QuanzhuNiu/OVIS_RGBD.RGB-D-SegmentEgocentricBodiesannotations_creators:
- other
language:
- en
language_creators:
- other
license:
- odc-by
multilinguality:
- monolingual
pretty_name: 'RGB-D-SegmentEgocentricBodies '
size_categories:
- 1K<n<10K
source_datasets:
- original
tags:
- egocentric segmentation
- extended reality
- xr
- human-body
- mixed-reality
- avatar
task_categories:
- image-segmentation
- depth-estimation
task_ids:
- semantic-segmentation
- features:
- name: image
dtype: image
- name: depth
dtype: image… See the full description on the dataset page: https://huggingface.co/datasets/ExtendedRealityLab/RGB-D-SegmentEgocentricBodies.eurosat-rgbgarment_assets
RGBench Garment Assets — Research Subset
A research subset of the garment asset library from Real Garment Benchmark (RGBench).
📄 Paper: arXiv:2511.06434
🌐 Project page: rgbench.github.io
📊 Companion dataset: RGBench-Cloth-Sim2Real-v1 — real-world capture data with ground-truth point clouds (CC-BY 4.0)
Contents
This repository holds a research subset of the RGBench industrial garment
asset library.
Format
Contents
OBJ
Garment geometry, usable in any… See the full description on the dataset page: https://huggingface.co/datasets/RGBench/garment_assets.rgb_articubotdataset for rgb articubot
SPADES-RGBprocessed_full_rgbuw
Dataset Card for "processed_full_rgbuw"
More Information needed
RoboTwin_blocks_ranking_rgb_randomizedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "aloha",
"total_episodes": 500,
"total_frames": 216980,
"total_tasks": 136,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 15,
"splits": {
"train": "0:500"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/suz22/RoboTwin_blocks_ranking_rgb_randomized.determ_lerobot_rgb_depth_vlacitrus-fruit-rgbdThis dataset contains
train: 1500 images test: 500 images val: 200 images. Each RGB image also has its corresponding depth file (.npy), and the B (Laplacian-based convexity cues), N (surface bumpness), generated from the depth image.
rgb_anon_trainvaltestRGBDRGB-SegmentEgocentricBodies-InclusiveValSetannotations_creators:
- other
language:
- en
language_creators:
- other
license:
- odc-by
multilinguality:
- monolingual
pretty_name: 'RGB-SegmentEgocentricBodies-InclusiveValSet'
size_categories:
- 1K<n<10K
source_datasets:
- original
tags:
- egocentric segmentation
- extended reality
- xr
- human-body
- mixed-reality
- bias
- avatar
task_categories:
- image-segmentation
task_ids:
- semantic-segmentation
- features:
- name: image
dtype: image
-splits:
- name: val… See the full description on the dataset page: https://huggingface.co/datasets/ExtendedRealityLab/RGB-SegmentEgocentricBodies-InclusiveValSet.ctcr_unity_rgb_seg_xyz_relativeThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "unity",
"total_episodes": 75,
"total_frames": 62176,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 20,
"splits": {
"train": "0:75"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/JackySunUofT/ctcr_unity_rgb_seg_xyz_relative.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.bop-tudl-rgb-dataset-realcloth_full_dt0.05_rgb_v1_0This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "custom_mpm_robot",
"total_episodes": 359,
"total_frames": 212027,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 20,
"splits": {
"train": "0:359"},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Setsunainn/cloth_full_dt0.05_rgb_v1_0.OSCD_RGB
OSCD RGB
The Onera Satellite Change Detection (OSCD) dataset is a change detection dataset that focuses on multispectral (MS) images taken by the ESA Sentinel-2 satellite. This dataset provides 24 registered image pairs from various continents, captured between the years 2015 and 2018. Along with the image pairs, the dataset includes binary change masks that highlight areas where changes have occurred. Pixel-level change ground truth is provided for all 14 training and 10 test… See the full description on the dataset page: https://huggingface.co/datasets/blanchon/OSCD_RGB.record-test-2-rgb-50ep-round1ImageNet_val_RGBD_DepthAnything_SBL