datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
DomainNetData downloaded from WILDS (Download, paper, project).
This dataset contains some copyrighted material whose use has not been specifically authorized by the copyright owners. In an effort to advance scientific research, we make this material available for academic research. We believe this constitutes a fair use of any such copyrighted material as provided for in section 107 of the US Copyright Law. In accordance with Title 17 U.S.C. Section 107, the material on this site is distributed… See the full description on the dataset page: https://huggingface.co/datasets/wltjr1007/DomainNet.mind2web_multimodal_test_domain
Dataset Card for "Cross-Domain" Test Split in Multimodal Mind2Web
Note: This dataset is the test split of the Cross-Domain dataset introduced in the paper.
This is a FiftyOne dataset with 4050 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/mind2web_multimodal_test_domain.Flickr-Geo
Dataset Card for Flickr-Geo
217.646.487 images with lat lon coordinates from Flickr. This repo is a filtered version of https://huggingface.co/datasets/bigdata-pw/Flickr for all rows containing a valid lat lon pair.
Load and Visualize
Load the data (2s on my system) with DuckDB:
import duckdb
df = duckdb.sql("""
SELECT CAST(latitude AS DOUBLE) AS latitude,
CAST(longitude AS DOUBLE) AS longitude
FROM 'reduced_flickr_data/*.parquet'
""").df()
df… See the full description on the dataset page: https://huggingface.co/datasets/do-me/Flickr-Geo.mb-domars16k
mb-domars16k
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: ael
1: rou
2: cli
3: aec
4: tex
5: smo
6: fss
7: rid
8: fse
9: sfe
10: fsf
11: fsg
12: sfx
13: cra
14: mix
Statistics
train: 11305 images
test: 1614 images
val: 3231 images… See the full description on the dataset page: https://huggingface.co/datasets/Mirali33/mb-domars16k.Domestic-Trash-Garbage-Dataset
Domestic Trash / Garbage Dataset — Sample
⚠️ This is a free sample subset for evaluation purposes only.The full dataset (9,000+ annotated images, multiple formats) is available for commercial licensing.Contact: sales@datacluster.ai · datacluster.ai
Dataset Summary
This dataset contains real-world images of domestic trash and garbage, captured on mobile phones across diverse urban and rural environments throughout India. It is well-suited for training trash detection… See the full description on the dataset page: https://huggingface.co/datasets/Dataclusterlabspvtltd/Domestic-Trash-Garbage-Dataset.Afrivoice_Kinyarwanda_Image_Domain_classification
Dataset Description
This dataset is a restructured version of Afrivoice Kinyarwanda, reorganized for image domain classification. The original audio-and-image manifest data was regrouped into a standard Hugging Face imagefolder layout (train/validation/test splits, one subfolder per class) so it can be loaded directly with datasets.load_dataset("imagefolder", ...) for training image classifiers.
No new images were collected and no image content was modified beyond format… See the full description on the dataset page: https://huggingface.co/datasets/Kira-Floris/Afrivoice_Kinyarwanda_Image_Domain_classification.microcolony-domain-adaptationMicrocolony Domain Adaptation (Foodborne Bacteria) is a microscopy image dataset for foodborne bacterial classification under varying imaging conditions. It was created to support research in adversarial domain adaptation, enabling models trained on standard phase contrast microscopy images to generalize across different optical configurations and biological conditions.
This dataset accompanies the publication: Bhattacharya, S., Wasit, A., Earles, M., Nitin, N., & Yi, J. (2025). Enhancing AI… See the full description on the dataset page: https://huggingface.co/datasets/food-ai-nexus/microcolony-domain-adaptation.DomainNetData downloaded from WILDS (Download, paper, project).
This dataset contains some copyrighted material whose use has not been specifically authorized by the copyright owners. In an effort to advance scientific research, we make this material available for academic research. We believe this constitutes a fair use of any such copyrighted material as provided for in section 107 of the US Copyright Law. In accordance with Title 17 U.S.C. Section 107, the material on this site is distributed… See the full description on the dataset page: https://huggingface.co/datasets/Zheng0309/DomainNet.domars16k
domars16k
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: 2025-05-12
Cite As: TBD
Classes
This dataset contains the following classes:
0: aec
1: ael
2: cli
3: cra
4: fse
5: fsf
6: fsg
7: fss
8: mix
9: rid
10: rou
11: sfe
12: sfx
13: smo
14: tex
Statistics
train: 1639 images
test: 234 images
val: 469 images… See the full description on the dataset page: https://huggingface.co/datasets/gremlin97/domars16k.domarks16k
domarks16k
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: 2025-05-09
Cite As: TBD
Classes
This dataset contains the following classes:
0: aec
1: ael
2: cli
3: cra
4: fse
5: fsf
6: fsg
7: fss
8: mix
9: rid
10: rou
11: sfe
12: sfx
13: smo
14: tex
Statistics
train: 11305 images
test: 1614 images
val: 3231 images… See the full description on the dataset page: https://huggingface.co/datasets/gremlin97/domarks16k.DominicSmart
Dataset card for HEp2
The HEp-2 (Human Epithelial type 2) dataset is a widely used benchmark in the field of medical image analysis, especially for the task of antinuclear antibody (ANA) pattern classification. The dataset contains microscopic images of HEp-2 cells stained with fluorescence, demonstrating multiple patterns of autoantibody binding associated with various autoimmune diseases. The HEp-2 dataset is utilized by researchers and practitioners to develop and evaluate… See the full description on the dataset page: https://huggingface.co/datasets/Dominic586/DominicSmart.