|
--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
|
- name: label |
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dtype: |
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class_label: |
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names: |
|
'0': annual crop |
|
'1': forest |
|
'2': herbaceous vegetation |
|
'3': highway |
|
'4': industrial |
|
'5': pasture |
|
'6': permanent crop |
|
'7': residential |
|
'8': river |
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'9': sea or lake |
|
splits: |
|
- name: train |
|
num_bytes: 88391109 |
|
num_examples: 27000 |
|
download_size: 88591771 |
|
dataset_size: 88391109 |
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license: mit |
|
task_categories: |
|
- image-classification |
|
- zero-shot-image-classification |
|
--- |
|
# Dataset Card for "EuroSAT" |
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## Dataset Description |
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|
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- **Paper** [Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification](https://ieeexplore.ieee.org/iel7/4609443/8789745/08736785.pdf) |
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- **Paper** [Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification](https://ieeexplore.ieee.org/iel7/8496405/8517275/08519248.pdf) |
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- **GitHub** [EuroSAT](https://github.com/phelber/EuroSAT) |
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- **Data** [Zenodo](https://zenodo.org/record/7711810#.ZCcA9uzMLJx) |
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|
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### Licensing Information |
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|
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MIT. |
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|
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## Citation Information |
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|
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[Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification](https://ieeexplore.ieee.org/iel7/4609443/8789745/08736785.pdf) |
|
|
|
[Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification](https://ieeexplore.ieee.org/iel7/8496405/8517275/08519248.pdf) |
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|
|
``` |
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@article{helber2019eurosat, |
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title = {Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification}, |
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author = {Helber, Patrick and Bischke, Benjamin and Dengel, Andreas and Borth, Damian}, |
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year = 2019, |
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journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, |
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publisher = {IEEE} |
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} |
|
@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}, |
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year = 2018, |
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booktitle = {IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium}, |
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pages = {204--207}, |
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organization = {IEEE} |
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} |
|
``` |