35 datasets found
  1. h

    EuroSAT_RGB

    • huggingface.co
    Updated Mar 11, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Julien BLANCHON (2025). EuroSAT_RGB [Dataset]. https://huggingface.co/datasets/blanchon/EuroSAT_RGB
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 11, 2025
    Authors
    Julien BLANCHON
    License

    https://choosealicense.com/licenses/unknown/https://choosealicense.com/licenses/unknown/

    Description

    EuroSAT RGB

    EUROSAT RGB is the RGB version of the EUROSAT dataset based on Sentinel-2 satellite images covering 13 spectral bands and consisting of 10 classes with 27000 labeled and geo-referenced samples.

    Paper: https://arxiv.org/abs/1709.00029 Homepage: https://github.com/phelber/EuroSAT

      Description
    

    The EuroSAT dataset is a comprehensive land cover classification dataset that focuses on images taken by the ESA Sentinel-2 satellite. It contains a total of 27… See the full description on the dataset page: https://huggingface.co/datasets/blanchon/EuroSAT_RGB.

  2. Z

    Data from: EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use...

    • data.niaid.nih.gov
    • explore.openaire.eu
    • +1more
    Updated Mar 10, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Helber, Patrick (2023). EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_7711096
    Explore at:
    Dataset updated
    Mar 10, 2023
    Dataset provided by
    Bischke, Benjamin
    Helber, Patrick
    Dengel, Andreas
    Borth, Damian
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    EuroSAT is a land use and land cover classification dataset. The dataset is based on Sentinel-2 satellite imagery covering 13 spectral bands and consists of 10 LULC classes with a total of 27,000 labeled and geo-referenced images. The dataset is associated with the publications "Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification" and "EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification".

    EuroSAT_RGB.zip contains the RGB version of the dataset, which includes the optical R, G and B frequency bands encoded as JPEG images.

    EuroSAT_MS.zip contains the multi-spectral version of the EuroSAT dataset, which includes all 13 Sentinel-2 bands in the original value range.

  3. g

    EuroSat Dataset

    • gts.ai
    json
    Updated Mar 28, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    GTS (2024). EuroSat Dataset [Dataset]. https://gts.ai/dataset-download/eurosat-dataset/
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 28, 2024
    Dataset provided by
    GLOBOSE TECHNOLOGY SOLUTIONS PRIVATE LIMITED
    Authors
    GTS
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This dataset is being used for classifying the use of land in geospatial images. The end goal for the classification is that the top 2 uses of land in an image are given as output to the user.

  4. h

    EuroSAT

    • huggingface.co
    Updated Apr 3, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jonathan Roberts (2023). EuroSAT [Dataset]. https://huggingface.co/datasets/jonathan-roberts1/EuroSAT
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 3, 2023
    Authors
    Jonathan Roberts
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    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.

  5. h

    EuroSAT-SAR

    • huggingface.co
    Updated Dec 27, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Yi Wang (2023). EuroSAT-SAR [Dataset]. https://huggingface.co/datasets/wangyi111/EuroSAT-SAR
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 27, 2023
    Authors
    Yi Wang
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    EuroSAT-SAR: Land Use and Land Cover Classification with Sentinel-1

    The EuroSAT-SAR dataset is a SAR version of the popular EuroSAT dataset. We matched each Sentinel-2 image in EuroSAT with one Sentinel-1 patch according to the geospatial coordinates, ending up with 27,000 dual-pol Sentinel-1 SAR images divided in 10 classes. The EuroSAT-SAR dataset was collected as one downstream task in the work FG-MAE to serve as a CIFAR-like, clean, balanced ML-ready dataset for remote sensing… See the full description on the dataset page: https://huggingface.co/datasets/wangyi111/EuroSAT-SAR.

  6. h

    eurosat

    • huggingface.co
    Updated Jun 12, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Chathumal (2024). eurosat [Dataset]. https://huggingface.co/datasets/cm93/eurosat
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 12, 2024
    Authors
    Chathumal
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    EuroSAT-RGB Dataset

      Dataset Description
    

    The dataset comprises JPEG composite chips extracted from Sentinel-2 satellite imagery, representing the Red, Green, and Blue bands. It encompasses 27,000 labeled and geo-referenced images across 10 Land Use and Land Cover (LULC) classes

      Dataset Structure
    

    Splits : Train 80% Validation 10% Test 10% (Kept the original dataset's label distribution consistent in each split)

      Citation
    

    Helber, P., Bischke, B.… See the full description on the dataset page: https://huggingface.co/datasets/cm93/eurosat.

  7. h

    eurosat-dataset-with-image

    • huggingface.co
    Updated Aug 31, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Muafira Thasni (2024). eurosat-dataset-with-image [Dataset]. https://huggingface.co/datasets/MuafiraThasni/eurosat-dataset-with-image
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 31, 2024
    Authors
    Muafira Thasni
    License

    https://choosealicense.com/licenses/other/https://choosealicense.com/licenses/other/

    Description

    EuroSAT Dataset

      Overview
    

    This dataset contains satellite images from the EuroSAT datasetThe dataset consists of RGB images with 10 different classes, each representing a distinct type of land use.

      Dataset Summary
    

    Classes: 10 (e.g., Annual Crop, Forest, Herbaceous Vegetation, Highway, Industrial, Pasture, Permanent Crop, Residential, River, Sea/Lake) Number of Images: 27,000+ images split into training and validation sets Image Size: 64x64 pixels, 3 channels… See the full description on the dataset page: https://huggingface.co/datasets/MuafiraThasni/eurosat-dataset-with-image.

  8. P

    EuroSAT-SAR Dataset

    • paperswithcode.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Yi Wang; Hugo Hernández Hernández; Conrad M Albrecht; Xiao Xiang Zhu, EuroSAT-SAR Dataset [Dataset]. https://paperswithcode.com/dataset/eurosat-sar
    Explore at:
    Authors
    Yi Wang; Hugo Hernández Hernández; Conrad M Albrecht; Xiao Xiang Zhu
    Description

    A SAR version of the EuroSAT dataset. The images were collected from Sentinel-1 GRD products (two bands VV and VH) based on the geocoordinates of the EuroSAT images.

  9. R

    Eurosat Dataset

    • universe.roboflow.com
    zip
    Updated Aug 14, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ibtissamworksapce (2023). Eurosat Dataset [Dataset]. https://universe.roboflow.com/ibtissamworksapce/eurosat-x8kcl/dataset/1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Aug 14, 2023
    Dataset authored and provided by
    ibtissamworksapce
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Residential Bounding Boxes
    Description

    EuroSat

    ## Overview
    
    EuroSat is a dataset for object detection tasks - it contains Residential annotations for 1,121 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  10. h

    EuroSAT_MSI

    • huggingface.co
    Updated Jan 24, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Julien BLANCHON (2024). EuroSAT_MSI [Dataset]. https://huggingface.co/datasets/blanchon/EuroSAT_MSI
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 24, 2024
    Authors
    Julien BLANCHON
    License

    https://choosealicense.com/licenses/unknown/https://choosealicense.com/licenses/unknown/

    Description

    EuroSAT MSI

    EUROSAT is a classification dataset based on Sentinel-2 satellite images covering 13 spectral bands and consisting of 10 classes with 27000 labeled and geo-referenced samples.

    Paper: https://arxiv.org/abs/1709.00029 Homepage: https://github.com/phelber/EuroSAT

      Description
    

    The EuroSAT dataset is a comprehensive land cover classification dataset that focuses on images taken by the ESA Sentinel-2 satellite. It contains a total of 27,000 images, each… See the full description on the dataset page: https://huggingface.co/datasets/blanchon/EuroSAT_MSI.

  11. Part of EuroSat Dataset

    • kaggle.com
    Updated Aug 29, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Mostafa Hassan (2021). Part of EuroSat Dataset [Dataset]. https://www.kaggle.com/mostafahassan98/part-of-eurosat-dataset/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 29, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Mostafa Hassan
    Description

    Dataset

    This dataset was created by Mostafa Hassan

    Contents

  12. GeoParquet catalog of STAC Items for the EuroSAT dataset

    • zenodo.org
    bin
    Updated Apr 14, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Fabrice Brito; Fabrice Brito; Parham Membari; Parham Membari (2025). GeoParquet catalog of STAC Items for the EuroSAT dataset [Dataset]. http://doi.org/10.5281/zenodo.15209589
    Explore at:
    binAvailable download formats
    Dataset updated
    Apr 14, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Fabrice Brito; Fabrice Brito; Parham Membari; Parham Membari
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset provides a GeoParquet catalog of SpatioTemporal Asset Catalog (STAC) Items that describe the image chips in the EuroSAT dataset. Each row in the GeoParquet file represents a STAC Item, including spatial geometry, temporal properties, and asset links.

    The STAC Items make use of the STAC Archive Extension to reference their exact location within the ZIP archive of the EuroSAT dataset, enabling smart access to individual chips using virtual file systems (e.g., /vsizip/).

    This GeoParquet-based catalog enhances the original dataset by supporting:

    - Fast spatial and temporal queries via columnar filtering

    - Interoperability with modern geospatial engines (DuckDB, etc.)

    - Cloud-native workflows for machine learning and remote sensing

    The file is intended for use in indexing, exploration, or integration of EuroSAT data in reproducible, scalable environments.

  13. h

    eurosat

    • huggingface.co
    Updated Apr 25, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Anke Tang (2024). eurosat [Dataset]. https://huggingface.co/datasets/tanganke/eurosat
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 25, 2024
    Authors
    Anke Tang
    Description

    Dataset Card for EuroSAT

      Dataset Source
    

    Paper with code

      Usage
    

    from datasets import load_dataset

    dataset = load_dataset('tranganke/eurosat')

      Data Fields
    

    The dataset contains the following fields:

    image: An image in RGB format. label: The label for the image, which is one of 10 classes: 0: annual crop land 1: forest 2: brushland or shrubland 3: highway or road 4: industrial buildings or commercial buildings 5: pasture land 6: permanent crop land… See the full description on the dataset page: https://huggingface.co/datasets/tanganke/eurosat.

  14. GEO-Bench: m-eurosat

    • zenodo.org
    bin, json, zip
    Updated Aug 25, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Alexandre Lacoste; Niels Lehmann; Pau Rodriguez; Evan David Sherwin; Hannah Kerner; Björn Lütjens; Jeremy Irvin; David Dao; Hamed Alemohammad; Alexandre Drouin; Mehmet Gunturkun; Gabriel Huang; David Vazquez; Dava Newman; Yoshua Bengio; Stefano Ermon; Xiao Xiang Zhu; Alexandre Lacoste; Niels Lehmann; Pau Rodriguez; Evan David Sherwin; Hannah Kerner; Björn Lütjens; Jeremy Irvin; David Dao; Hamed Alemohammad; Alexandre Drouin; Mehmet Gunturkun; Gabriel Huang; David Vazquez; Dava Newman; Yoshua Bengio; Stefano Ermon; Xiao Xiang Zhu (2023). GEO-Bench: m-eurosat [Dataset]. http://doi.org/10.5281/zenodo.8276933
    Explore at:
    json, bin, zipAvailable download formats
    Dataset updated
    Aug 25, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Alexandre Lacoste; Niels Lehmann; Pau Rodriguez; Evan David Sherwin; Hannah Kerner; Björn Lütjens; Jeremy Irvin; David Dao; Hamed Alemohammad; Alexandre Drouin; Mehmet Gunturkun; Gabriel Huang; David Vazquez; Dava Newman; Yoshua Bengio; Stefano Ermon; Xiao Xiang Zhu; Alexandre Lacoste; Niels Lehmann; Pau Rodriguez; Evan David Sherwin; Hannah Kerner; Björn Lütjens; Jeremy Irvin; David Dao; Hamed Alemohammad; Alexandre Drouin; Mehmet Gunturkun; Gabriel Huang; David Vazquez; Dava Newman; Yoshua Bengio; Stefano Ermon; Xiao Xiang Zhu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    GEO-Bench: m-eurosat dataset

    This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench.

    The original version of this dataset is due to Helber et al. (2019) and is available at: https://github.com/phelber/eurosat.

    See the LICENSE file provided alongside this dataset for applicable licensing information.

  15. h

    EuroSAT

    • huggingface.co
    Updated Nov 17, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    GFM-Bench (2024). EuroSAT [Dataset]. https://huggingface.co/datasets/GFM-Bench/EuroSAT
    Explore at:
    Dataset updated
    Nov 17, 2024
    Dataset authored and provided by
    GFM-Bench
    Description

    EuroSAT

    EuroSAT is a benchmark dataset for land use and land cover classification based on Sentinel-2 satellite imagery. It contains 27,000 labeled images covering 10 classes (e.g., agricultural, residential, industrial, and forest areas). The dataset features multi-spectral bands with a spatial resolution of 10 meters per pixel and an image resolution of 64 × 64 pixels.

      How to Use This Dataset
    

    from datasets import load_dataset

    dataset =… See the full description on the dataset page: https://huggingface.co/datasets/GFM-Bench/EuroSAT.

  16. H

    x-eurosat

    • dataverse.harvard.edu
    Updated May 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Alvard Barseghyan (2025). x-eurosat [Dataset]. http://doi.org/10.7910/DVN/6H88JG
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 15, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Alvard Barseghyan
    License

    https://spdx.org/licenses/MIT.htmlhttps://spdx.org/licenses/MIT.html

    Description

    EuroSAT is a dataset and deep learning benchmark designed for land use and land cover classification. It is based on Sentinel-2 multispectral and Sentinel-1 synthetic aperture radar (SAR) satellite imagery, covering 15 spectral bands in total. The dataset includes 4,000 labeled and geo-referenced image pairs distributed across 10 distinct classes.

  17. h

    eurosat

    • huggingface.co
    Updated Apr 27, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Hao Nan SHENG (2025). eurosat [Dataset]. https://huggingface.co/datasets/hnsheng/eurosat
    Explore at:
    Dataset updated
    Apr 27, 2025
    Authors
    Hao Nan SHENG
    Description

    hnsheng/eurosat dataset hosted on Hugging Face and contributed by the HF Datasets community

  18. EuroSat

    • kaggle.com
    Updated Jan 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ahmed Eleawa (2025). EuroSat [Dataset]. https://www.kaggle.com/datasets/ahmedeleawa/eurosat/data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 27, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ahmed Eleawa
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Dataset

    This dataset was created by Ahmed Eleawa

    Released under MIT

    Contents

  19. Z

    EuroSAT Model Zoo: A Dataset of Diverse Populations of Neural Network Models...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jul 13, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Taskiran, Diyar (2023). EuroSAT Model Zoo: A Dataset of Diverse Populations of Neural Network Models - EuroSAT [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_8141666
    Explore at:
    Dataset updated
    Jul 13, 2023
    Dataset provided by
    Borth, Damian
    Taskiran, Diyar
    Schürholt, Konstantin
    Honegger, Dominik
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract

    In the last years, neural networks have evolved from laboratory environments to the state-of-the-art for many real-world problems. Our hypothesis is that neural network models (i.e., their weights and biases) evolve on unique, smooth trajectories in weight space during training. Following, a population of such neural network models (refereed to as “model zoo”) would form topological structures in weight space. We think that the geometry, curvature and smoothness of these structures contain information about the state of training and can be reveal latent properties of individual models. With such zoos, one could investigate novel approaches for (i) model analysis, (ii) discover unknown learning dynamics, (iii) learn rich representations of such populations, or (iv) exploit the model zoos for generative modelling of neural network weights and biases. Unfortunately, the lack of standardized model zoos and available benchmarks significantly increases the friction for further research about populations of neural networks. With this work, we publish a novel dataset of model zoos containing systematically generated and diverse populations of neural network models for further research. In total the proposed model zoo dataset is based on six image datasets, consist of 27 model zoos with varying hyperparameter combinations are generated and includes 50’360 unique neural network models resulting in over 2’585’360 collected model states. Additionally, to the model zoo data we provide an in-depth analysis of the zoos and provide benchmarks for multiple downstream tasks as mentioned before.

    Dataset

    This dataset is part of a larger collection of model zoos and contains the zoos trained on EuroSAT. All zoos with extensive information and code can be found at www.modelzoos.cc.

    This repository contains two types of model populations: the base model zoo ("eurosat_cnn_kaiming_uniform.zip"), as well as a collection of sparsified model zoos (filenames ending in "magn_XX.zip" or "ard.zip"). Zoos are trained with CNN models in configurations varying the seed only (seed), and sparsification is done through magnitude-based weight pruning ("magn_XX.zip") or varational dropout ("ard.zip").

    For more information on the zoos and code to access and use the zoos, please see www.modelzoos.cc.

  20. eurosat_ms_tf_records

    • kaggle.com
    Updated May 13, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Stefan Meier (2024). eurosat_ms_tf_records [Dataset]. https://www.kaggle.com/datasets/stefanmeierhsg/eurosat-ms-tf-records
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 13, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Stefan Meier
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    @article{helber2019eurosat, title={Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification}, author={Helber, Patrick and Bischke, Benjamin and Dengel, Andreas and Borth, Damian}, journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, year={2019}, publisher={IEEE} }

    @inproceedings{helber2018introducing, title={Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification}, author={Helber, Patrick and Bischke, Benjamin and Dengel, Andreas and Borth, Damian}, booktitle={IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium}, pages={204--207}, year={2018}, organization={IEEE} }

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Julien BLANCHON (2025). EuroSAT_RGB [Dataset]. https://huggingface.co/datasets/blanchon/EuroSAT_RGB

EuroSAT_RGB

EuroSAT RGB

blanchon/EuroSAT_RGB

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Mar 11, 2025
Authors
Julien BLANCHON
License

https://choosealicense.com/licenses/unknown/https://choosealicense.com/licenses/unknown/

Description

EuroSAT RGB

EUROSAT RGB is the RGB version of the EUROSAT dataset based on Sentinel-2 satellite images covering 13 spectral bands and consisting of 10 classes with 27000 labeled and geo-referenced samples.

Paper: https://arxiv.org/abs/1709.00029 Homepage: https://github.com/phelber/EuroSAT

  Description

The EuroSAT dataset is a comprehensive land cover classification dataset that focuses on images taken by the ESA Sentinel-2 satellite. It contains a total of 27… See the full description on the dataset page: https://huggingface.co/datasets/blanchon/EuroSAT_RGB.

Search
Clear search
Close search
Google apps
Main menu