datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
PatternNet
Dataset Card for "PatternNet"
Licensing Information
For research purposes.
Citation Information
PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval
@article{zhou2018patternnet,
title = {PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval},
author = {Zhou, Weixun and Newsam, Shawn and Li, Congmin and Shao, Zhenfeng},
year = 2018,
journal = {ISPRS… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/PatternNet.SATIN
Dataset Card for SATIN
Dataset Summary
SATIN (SATellite ImageNet) is a metadataset containing 27 constituent satellite and aerial image datasets spanning 6 distinct tasks: Land Cover, Land Use,
Hierarchical Land Use, Complex Scenes, Rare Scenes, and False Colour Scenes. The imagery is globally distributed, comprised of resolutions spanning 5 orders
of magnitude, multiple fields of view sizes, and over 250 distinct class labels. Presented at ICCV '23 TNGCV Workshop.… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/SATIN.NWPU-RESISC45
Dataset Card for "NWPU-RESISC45"
Licensing Information
[CC-BY-SA]
Citation Information
Remote sensing image scene classification: Benchmark and state of the art
@article{cheng2017remote,
title = {Remote sensing image scene classification: Benchmark and state of the art},
author = {Cheng, Gong and Han, Junwei and Lu, Xiaoqiang},
year = 2017,
journal = {Proceedings of the IEEE},
publisher = {IEEE},
volume = 105… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/NWPU-RESISC45.CLRS
Dataset Card for "CLRS"
Licensing Information
For academic purposes.
Citation Information
CLRS: Continual Learning Benchmark for Remote Sensing Image Scene Classification
@article{s20041226,
title = {CLRS: Continual Learning Benchmark for Remote Sensing Image Scene Classification},
author = {Li, Haifeng and Jiang, Hao and Gu, Xin and Peng, Jian and Li, Wenbo and Hong, Liang and Tao, Chao},
year = 2020,
journal = {Sensors}… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/CLRS.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.GID
Dataset Card for "GID"
Licensing Information
Public domain.
Citation Information
Land-cover classification with high-resolution remote sensing images using transferable deep models
@article{GID2020,
title = {Land-cover classification with high-resolution remote sensing images using transferable deep models},
author = {Tong, Xin-Yi and Xia, Gui-Song and Lu, Qikai and Shen, Huanfeng and Li, Shengyang and You, Shucheng and Zhang, Liangpei},
year… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/GID.Million-AID
Dataset Card for "Million-AID"
Split Information
This HuggingFace dataset repository contains just the Train split.
Licensing Information
CC BY-NC-ND 4.0
Citation Information
On creating benchmark dataset for aerial image interpretation: Reviews, guidances, and million-aid
@article{long2021creating,
title = {On creating benchmark dataset for aerial image interpretation: Reviews, guidances, and million-aid},
author = {Long, Yang and… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/Million-AID.RSI-CB256
Dataset Card for "RSI-CB256"
Licensing Information
For academic purposes.
Citation Information
Exploring Models and Data for Remote Sensing Image Caption Generation
@article{lu2017exploring,
title = {Exploring Models and Data for Remote Sensing Image Caption Generation},
author = {Lu, Xiaoqiang and Wang, Binqiang and Zheng, Xiangtao and Li, Xuelong},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
volume = 56… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/RSI-CB256.bdappv
BDAPPV — Aerial Images of Rooftop Photovoltaic Installations
BDAPPV is a dataset of aerial images of rooftop PV installations in France and Belgium,
with segmentation masks and installation metadata. Images are provided by two aerial
imagery providers (Google and IGN), making it suitable for both segmentation/classification
benchmarks and distribution shift evaluation across imagery sources.
Paper: Kasmi et al., Scientific Data, 2023 — arXiv:2209.03726
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Roberthowe/bdappv.EuroSAT
Dataset Card for "EuroSAT"
Licensing Information
MIT.
Citation Information
Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification
Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
@article{helber2019eurosat,
title = {Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification},
author = {Helber, Patrick and… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/EuroSAT.SIRI-WHU
Dataset Card for "SIRI-WHU"
Licensing Information
CC BY-NC-ND
Citation Information
Dirichlet-derived multiple topic scene classification model for high spatial resolution remote sensing imagery
The Fisher kernel coding framework for high spatial resolution scene classification
Bag-of-visual-words scene classifier with local and global features for high spatial resolution remote sensing imagery
@article{zhao2015dirichlet,
title={Dirichlet-derived multiple… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/SIRI-WHU.RSSCN7
Dataset Card for "RSSCN7"
Licensing Information
For research and academic purposes.
Citation Information
Deep Learning Based Feature Selection for Remote Sensing Scene Classification
@article{7272047,
title = {Deep Learning Based Feature Selection for Remote Sensing Scene Classification},
author = {Zou, Qin and Ni, Lihao and Zhang, Tong and Wang, Qian},
year = 2015,
journal = {IEEE Geoscience and Remote Sensing Letters}… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/RSSCN7.RS_C11
Dataset Card for "RS_C11"
Licensing Information
Free usage without license.
Citation Information
Feature significance-based multibag-of-visual-words model for remote sensing image scene classification
@article{zhao2016feature,
title = {Feature significance-based multibag-of-visual-words model for remote sensing image scene classification},
author = {Zhao, Lijun and Tang, Ping and Huo, Lianzhi},
year = 2016,
journal = {Journal… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/RS_C11.Optimal-31
Dataset Card for "Optimal-31"
Licensing Information
[No license for now, cite the paper below.]
Citation Information
Scene classification with recurrent attention of VHR remote sensing images
@article{wang2018scene,
title = {Scene classification with recurrent attention of VHR remote sensing images},
author = {Wang, Qi and Liu, Shaoteng and Chanussot, Jocelyn and Li, Xuelong},
year = 2018,
journal = {IEEE Transactions on… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/Optimal-31.MultiScene
Dataset Card for "MultiScene"
Split Information
This HuggingFace dataset repository contains just the 'Clean' split.
Licensing Information
MIT.
Citation Information
MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images
@article{hua2021multiscene,
title = {MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images},
author = {Hua, Y. and Mou, L. and… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/MultiScene.Brazilian_Coffee_Scenes
Dataset Card for "Brazilian_Coffee_Scenes"
Licensing Information
[CC BY-NC]
Citation Information
Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?
@inproceedings{penatti2015deep,
title = {Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?},
author = {Penatti, Ot{\'a}vio AB and Nogueira, Keiller and Dos Santos, Jefersson A},
year = 2015… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/Brazilian_Coffee_Scenes.Brazilian_Cerrado-Savanna_Scenes
Dataset Card for "Brazilian_Cerrado-Savanna_Scenes"
Licensing Information
[CC BY-NC]
Citation Information
Towards vegetation species discrimination by using data-driven descriptors
@inproceedings{nogueira2016towards,
title = {Towards vegetation species discrimination by using data-driven descriptors},
author = {Nogueira, Keiller and Dos Santos, Jefersson A and Fornazari, Tamires and Silva, Thiago Sanna Freire and Morellato, Leonor Patricia and… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/Brazilian_Cerrado-Savanna_Scenes.tom_and_jerry
Tom and Jerry Image Classification Dataset
Descripción del Dataset
Dataset de imágenes para clasificación de personajes del clásico cartoon "Tom y Jerry". Contiene dos categorías exclusivas:
Estructura de Clases
tom - Imágenes solo de Tom (el gato)
jerry - Imágenes solo de Jerry (el ratón)
Estadísticas Clave
Split
Ejemplos
Train
2219
Validation
475
Test
476