datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
d405-hand-surface-depth
D405 Hand-Surface Depth Dataset
A multi-user, multi-angle RGB-depth dataset for close-range hand-surface interaction research, captured with an Intel RealSense D405 stereo depth camera.
Paper: Real-Time Multimodal Fingertip Contact Detection via Depth and Motion Fusion for Vision-Based Human-Computer Interaction (CVPR 2026)
Authors: Mukhiddin Toshpulatov, Wookey Lee, Suan Lee, Geehyuk Lee
Key Statistics
Metric
Value
Total RGB-depth pairs
53,300… See the full description on the dataset page: https://huggingface.co/datasets/muxiddin19/d405-hand-surface-depth.weather-whiplash-surfaces
Weather Whiplash — road surface conditions
247 photographs of road and track surfaces, each labelled by a human with
one of four appearance classes. Built for Weather Whiplash, a live track-condition
detector whose reasoning layer turns a per-frame surface classification into a stable
wetness index, a trend, and a tyre-change recommendation.
The four classes
The classes describe appearance at one instant, not direction of change. There is no
"drying" class and… See the full description on the dataset page: https://huggingface.co/datasets/mrcreoid/weather-whiplash-surfaces.synthetic-concrete-surface-normal
Synthetic Concrete Surface – Normal Images for Anomaly Detection
Dataset Description
A dataset of 747 synthetic images of defect-free concrete surfaces, generated for training one-class anomaly detection models such as PatchCore. All images are 1024×1024 PNG files depicting intact concrete with no cracks, spalling, or structural damage.
MVTec AD, the de facto benchmark for visual anomaly detection, covers 15 object and texture categories but does not include concrete.… See the full description on the dataset page: https://huggingface.co/datasets/wolfsynth/synthetic-concrete-surface-normal.mb-surface_cls
mb-surface_cls
A Mars image classification dataset for planetary science research.
Dataset Metadata
License: CC-BY-4.0 (Creative Commons Attribution 4.0 International)
Version: 1.0
Date Published: 2025-05-14
Cite As: TBD
Classes
This dataset contains the following classes:
0: apx
1: act
2: arm
3: art
4: cct
5: cio
6: clr
7: dls
8: dri
9: drh
10: drp
11: drt
12: flr
13: gro
14: hor
15: inl
16: lar
17: ltv
18: mah
19: mct
20: mas
21: mca
22: nsk
23: obt
24:… See the full description on the dataset page: https://huggingface.co/datasets/Mirali33/mb-surface_cls.mb-surface_multi_label_cls
MER - Mars Exploration Rover Dataset
A multi-label classification dataset containing Mars images from the Mars Exploration Rover (MER) mission for planetary science research.
Dataset Metadata
License: CC-BY-4.0 (Creative Commons Attribution 4.0 International)
Version: 1.0
Date Published: 2025-10-23
Cite As: TBD
Classes
This dataset uses multi-label classification, meaning each image can have multiple class labels.
The dataset contains the following classes:… See the full description on the dataset page: https://huggingface.co/datasets/Mirali33/mb-surface_multi_label_cls.Farmland-Surface-Change-Detection-Dataset
Farmland Surface Change Detection Dataset
The current agricultural sector faces environmental issues such as climate change and drought, which have severely impacted crop growth and yields. Existing monitoring methods often rely on manual inspections, which are inefficient and difficult to cover large areas. To improve monitoring accuracy and timeliness, this dataset aims to provide diverse farmland surface imagery data, allowing AI technologies to better identify and analyze… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Farmland-Surface-Change-Detection-Dataset.deep_pavements_surface_patchesA data-only mirror of https://github.com/kauevestena/deep_pavements_dataset
Farmland-Surface-Change-Detection-Dataset
Farmland Surface Change Detection Dataset
The current agricultural sector faces environmental issues such as climate change and drought, which have severely impacted crop growth and yields. Existing monitoring methods often rely on manual inspections, which are inefficient and difficult to cover large areas. To improve monitoring accuracy and timeliness, this dataset aims to provide diverse farmland surface imagery data, allowing AI technologies to better identify and analyze… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Farmland-Surface-Change-Detection-Dataset.mb-surface_multi_label_cls
MER - Mars Exploration Rover Dataset
A multi-label classification dataset containing Mars images from the Mars Exploration Rover (MER) mission for planetary science research.
Dataset Metadata
License: CC-BY-4.0 (Creative Commons Attribution 4.0 International)
Version: 1.0
Date Published: 2025-10-23
Cite As: TBD
Classes
This dataset uses multi-label classification, meaning each image can have multiple class labels.
The dataset contains the following classes:… See the full description on the dataset page: https://huggingface.co/datasets/ZhaoAnran/mb-surface_multi_label_cls.