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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: label |
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dtype: |
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class_label: |
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names: |
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'0': cloud |
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'1': dust |
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'2': haze |
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'3': land |
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'4': seaside |
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'5': smoke |
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splits: |
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- name: train |
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num_bytes: 1229029078.725 |
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num_examples: 6225 |
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download_size: 1115042620 |
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dataset_size: 1229029078.725 |
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license: other |
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--- |
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# Dataset Card for "USTC_SmokeRS" |
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## Dataset Description |
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- **Paper:** [SmokeNet: Satellite smoke scene detection using convolutional neural network with spatial and channel-wise attention](https://www.mdpi.com/2072-4292/11/14/1702/pdf) |
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### Licensing Information |
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For research/education purposes. |
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## Citation Information |
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[SmokeNet: Satellite smoke scene detection using convolutional neural network with spatial and channel-wise attention](https://www.mdpi.com/2072-4292/11/14/1702/pdf) |
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|
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``` |
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@article{ba2019smokenet, |
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title = {SmokeNet: Satellite smoke scene detection using convolutional neural network with spatial and channel-wise attention}, |
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author = {Ba, Rui and Chen, Chen and Yuan, Jing and Song, Weiguo and Lo, Siuming}, |
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year = 2019, |
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journal = {Remote Sensing}, |
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publisher = {MDPI}, |
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volume = 11, |
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number = 14, |
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pages = 1702 |
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} |
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``` |