datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.xd-violence-rgb-videomae-chunked-testM3FD_RGBTfMoW_rgbegocentric-stereo-rgbd
Hub Egocentric: Stereo RGB-D
9 egocentric stereo RGB-D clips with dense metric depth, IMU, 6-DoF VIO pose, and calibration. Each clip carries a self-contained LeRobot v3.0 dataset (loads on lerobot >= 0.6.0) plus side-by-side stereo, mono, a colorized depth preview, and a Foxglove MCAP recording.
Part of the Hub Egocentric Human Demonstrations Sample Set collection. Captured on StereoLabs ZED X Mini. Egocentric, human-demonstration data (passive; no robot action stream). July… See the full description on the dataset page: https://huggingface.co/datasets/Hubdata/egocentric-stereo-rgbd.rgb_articubotdataset for rgb articubot
SPADES-RGBcitrus-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.
egocentric-gopro-rgb-imu
Hub Egocentric: GoPro RGB+IMU
19 egocentric human-manipulation clips captured on GoPro HERO13, with high-rate IMU (~200 Hz GPMF) delivered as CSV/Parquet/JSON sidecars plus a Foxglove MCAP recording.
Part of the Hub Egocentric Human Demonstrations Sample Set collection. Captured on GoPro HERO13. Egocentric, human-demonstration data (passive; no robot action stream). July 2026.
Dataset structure
Each clip is a top-level folder named #NN_... holding its media, a… See the full description on the dataset page: https://huggingface.co/datasets/Hubdata/egocentric-gopro-rgb-imu.every_frame_right_rgbRGBDtable_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-realegocentric-iphone-rgb-imu
Hub Egocentric: iPhone RGB+IMU
12 egocentric human-manipulation clips captured on iPhone, with nominal 30 Hz CoreMotion + ARKit IMU/attitude on the shared media timeline, delivered as CSV/Parquet/JSON sidecars plus a Foxglove MCAP recording and per-clip camera intrinsics.
Across this 12-clip sample, IMU row count is 0–4 boundary rows lower than decoded video frame count (≤0.035%).
Part of the Hub Egocentric Human Demonstrations Sample Set collection. Captured on iPhone 13… See the full description on the dataset page: https://huggingface.co/datasets/Hubdata/egocentric-iphone-rgb-imu.3d-dlp-repro-genericshapes-rgb
GenericShapes-RGB — synthetic RGB-voxel tabletop scenes
Training/evaluation corpus built for an independent reproduction of ICML 2026 paper #10351,
3D-DLP: Self-supervised 3D Object-centric Scene Representation Learning
(OpenReview vIotI25gJz, code
github.com/Eubooks3003/3d-dlp).
The paper's GenericShapes corpus (Appendix B.2) is described but not released, and the authors'
released generator scripts/generate_ply.py
writes colourless point clouds — the "RGB-coloured variant used… See the full description on the dataset page: https://huggingface.co/datasets/rvt832/3d-dlp-repro-genericshapes-rgb.runcam-feed-camera-egocentric-rgb-imu
RunCam Feed Camera - Egocentric RGB + IMU Sample Dataset
A small sample dataset captured with the RunCam Feed Camera for egocentric video and synchronized motion-sensor workflows.
Capture Device
Video: H.265 MP4, 1920x1080, 60 fps for V01-V06
Nominal video bitrate: 18 Mbps
Horizontal field of view: 126 degrees
Device weight: approximately 26 g
IMU: ICM-42607, 6-axis
IMU sampling rate: 800 Hz for the recordings in this sample
Firmware reported in the GCSV files:… See the full description on the dataset page: https://huggingface.co/datasets/RunCam/runcam-feed-camera-egocentric-rgb-imu.EuroSAT_RGB
EuroSAT RGB
Dataset Description
EuroSAT is a dataset for land use and land cover (LULC) classification using Sentinel-2 satellite imagery. This version contains the RGB (visible spectrum) bands encoded as JPEG images at 64x64 pixel resolution.
The dataset covers 10 land use/land cover classes across 27,000 geo-referenced images from 34 European countries.
Source: https://zenodo.org/records/7711810
DOI: 10.5281/zenodo.7711810
License: MIT
Paper: EuroSAT: A Novel Dataset… See the full description on the dataset page: https://huggingface.co/datasets/giswqs/EuroSAT_RGB.multispecqr-rgb-datasetgame-scenes-posed-rgbd
Origin Lab Game Scenes: Posed RGB-D Flythroughs of Game Worlds
Every frame carries the camera that rendered it and the depth the engine computed for it. Ten game worlds, with the camera released from the player for 60% of the footage: metric depth, world-space normals, 4x4 pose, and per-frame intrinsics on one frame index, plus hundreds of full in-place turns and long stretches in which the world is frozen and only the camera moves. Two trajectories per world and one whole… See the full description on the dataset page: https://huggingface.co/datasets/originlab/game-scenes-posed-rgbd.egocentric-iphone-rgb
Hub Egocentric: iPhone RGB
40 unique egocentric human-manipulation clips captured on iPhone, delivered as uniform re-encoded RGB video (H.264, 8-bit, Rec.709). Video only (no IMU, no depth).
Part of the Hub Egocentric Human Demonstrations Sample Set collection. Captured on iPhone 15, iPhone 15 Pro, iPhone 15 Pro Max, and iPhone 16 Pro Max. Egocentric, human-demonstration data (passive; no robot action stream). July 2026.
Dataset structure
One re-encoded H.264 MP4… See the full description on the dataset page: https://huggingface.co/datasets/Hubdata/egocentric-iphone-rgb.every_frame_left_rgbevery_frame_top_rgbeurosat-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/mteb/eurosat-rgb.every_frame_top_rgb_right_halfSO101-ma_stack_RGBblock_on_bluedish_30fpsThis dataset was created using LeRobot.
Dataset Description
SO-101 robot dataset collected with the MA autonomous forward/reset pipeline. The task is to stack red, green, and blue RGB blocks on the blue dish from bottom to top. The dataset contains 100 successful episodes at 30 FPS with top and left-wrist RGB camera streams, robot state/action features, end-effector pose, gripper state, and skill/subtask annotations.
Homepage: https://huggingface.co/CoRL2026-CSI
Paper:… See the full description on the dataset page: https://huggingface.co/datasets/Cache-SCA/SO101-ma_stack_RGBblock_on_bluedish_30fps.every_frame_top_rgb_left_halfem-exp3-activations
Onset, Probes & Causal Steering of a bad-medical-advice EM Organism
⚠️ The data here is sound. The project's written analysis was not.
This dataset is fine — the rollouts, judge scores, onset records and activations were never in
doubt, and the pipeline that produced them passes a published calibration anchor (22.0% vs ~18.8%).
The documentation accompanying it was largely AI-generated and repeatedly stated things the
measurements did not support. Three… See the full description on the dataset page: https://huggingface.co/datasets/mild-rgb/em-exp3-activations.overhead-people-rgb
Overhead People RGB
Unified overhead RGB people detection dataset converted from local Roboflow YOLOv8 exports.
Images are stored as original encoded bytes without resizing, recompression, or preprocessing. All retained boxes use a single category:
category_id: 0
category: person
bbox: COCO-style [x, y, width, height] in pixel coordinates
Source labels such as Man, Woman, Person, ero, and 0 are preserved in objects.source_category. Source label object is omitted.
## Loading The… See the full description on the dataset page: https://huggingface.co/datasets/bdanko/overhead-people-rgb.xd-violence-20pct-rgb-videomae-chunked-train