datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AID_MultiLabel
Dataset Card for "AID_MultiLabel"
Licensing Information
CC0: Public Domain
Citation Information
Imagery:
AID: A benchmark data set for performance evaluation of aerial scene classification
Multilabels:
Relation Network for Multi-label Aerial Image Classification
@article{xia2017aid,
title = {AID: A benchmark data set for performance evaluation of aerial scene classification},
author = {Xia, Gui-Song and Hu, Jingwen and Hu, Fan and Shi, Baoguang… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/AID_MultiLabel.multi-label-food-recognition
Multi-Label Food Recognition Dataset
This is a multi-label food recognition dataset generated from single-class food images.
Each image contains 2-5 different food items composited together using natural composition methods.
Dataset Details
Total Images: 13,000
Training Images: 10,400 (80%)
Validation Images: 2,600 (20%)
Number of Classes: 90
Labels per Image: 2-5 labels
Image Format: RGB, 512x512 pixels
File Format: Parquet
Dataset Structure
Each sample… See the full description on the dataset page: https://huggingface.co/datasets/ibrahimdaud/multi-label-food-recognition.Multilabel-Portrait-18K
Multilabel-Portrait-18K
Multilabel-Portrait-18K is a multi-label portrait classification dataset designed to analyze and categorize different styles of portrait images. It supports classification into the following four portrait types:
0 — Anime Portrait
1 — Cartoon Portrait
2 — Real Portrait
3 — Sketch Portrait
This dataset is ideal for training and evaluating machine learning models in the domain of portrait-style classification. The goal is to enable accurate recognition… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Multilabel-Portrait-18K.Multilabel-GeoSceneNet-16K
Multilabel-GeoSceneNet-16K
Multilabel-GeoSceneNet-16K is a geospatial image dataset for multi-label scene classification. Each image may belong to one or more geographic scene categories, making it suitable for multi-label learning tasks in remote sensing and geospatial analytics.
Dataset Summary
Task: Multi-label Image Classification
Modalities: Image
Total Images: 16,033
Split: Train (100%)
Labels: 7 categories (multi-label)
License: Apache-2.0
Size: ~227 MB… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Multilabel-GeoSceneNet-16K.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.mars-multi-label-classification
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: 2025-05-10
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/gremlin97/mars-multi-label-classification.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.satin-aid-multilabel-taco
AID MultiLabel (SATIN mirror)
3,000 aerial scenes at 600x600 from AID, relabelled with the 17 OBJECT and cover categories present in each -- airplane, cars, dock, mobile home, ship, tanks -- rather than with the one scene class AID itself assigns. It is the multi-label reading of imagery this corpus otherwise only has a single label for, and its legend is the same 17 as dlrsd's, over different pixels and at 600 px instead of 256: the two are a… See the full description on the dataset page: https://huggingface.co/datasets/isp-uv-es/satin-aid-multilabel-taco.