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@@ -104,11 +104,37 @@ dataset_info:
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  '50': wind turbine
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  splits:
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  - name: train
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- num_bytes: 871962498.0
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  num_examples: 10000
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  download_size: 871644115
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- dataset_size: 871962498.0
 
 
 
 
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  ---
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  # Dataset Card for "Million-AID"
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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  '50': wind turbine
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  splits:
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  - name: train
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+ num_bytes: 871962498
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  num_examples: 10000
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  download_size: 871644115
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+ dataset_size: 871962498
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+ license: other
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+ task_categories:
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+ - image-classification
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+ - zero-shot-image-classification
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  ---
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  # Dataset Card for "Million-AID"
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+ ## Dataset Description
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+
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+ - **Paper** [On creating benchmark dataset for aerial image interpretation: Reviews, guidances, and million-aid](https://ieeexplore.ieee.org/iel7/4609443/9314330/09393553.pdf)
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+
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+ ### Licensing Information
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+
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+ [CC BY-NC-ND 4.0](https://competitions.codalab.org/competitions/35974#learn_the_details-terms-and-conditions)
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+
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+ ## Citation Information
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+
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+ [On creating benchmark dataset for aerial image interpretation: Reviews, guidances, and million-aid](https://ieeexplore.ieee.org/iel7/4609443/9314330/09393553.pdf)
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+
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+ ```
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+ @article{long2021creating,
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+ title = {On creating benchmark dataset for aerial image interpretation: Reviews, guidances, and million-aid},
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+ author = {Long, Yang and Xia, Gui-Song and Li, Shengyang and Yang, Wen and Yang, Michael Ying and Zhu, Xiao Xiang and Zhang, Liangpei and Li, Deren},
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+ year = 2021,
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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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+ volume = 14,
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+ pages = {4205--4230}
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+ }
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+ ```