datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.wds_voc2007_multilabelAID_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.UC_Merced_LandUse_MultiLabel
Dataset Card for "UC_Merced_LandUse_MultiLabel"
Licensing Information
Public Domain; “Map services and data available from U.S. Geological Survey, National Geospatial Program.”
Citation Information
Imagery:
Bag-of-visual-words and spatial extensions for land-use classification
Multilabels:
Multilabel Remote Sensing Image Retrieval Using a Semisupervised Graph-Theoretic Method
@inproceedings{yang2010bag,
title = {Bag-of-visual-words and spatial… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/UC_Merced_LandUse_MultiLabel.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.multi-label-classification-test-small
Dataset Card for "multi-label-classification-test-small"
More Information needed
multi-label-classification-test
Dataset Card for "multi-label-classification-test"
More Information needed
hateful_memes_multilabelmultilabel-image-classificationrg-7wildlife-multilabel-v1