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--- |
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license: |
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- unknown |
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task_categories: |
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- image-classification |
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language: |
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- en |
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tags: |
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- remote-sensing |
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- earth-observation |
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- geospatial |
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- satellite-imagery |
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- scene-classification |
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pretty_name: RSSCN7 |
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size_categories: |
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- 1K<n<10K |
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--- |
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# RSSCN7 |
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## Description |
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The RSSCN7 dataset is designed for scene classification tasks and provides a collection of high-resolution RGB images. This dataset comprises a total of 2,800 images, each with a resolution of 400x400 pixels. The images are extracted from [Google Earth](https://earth.google.com/web/) and cover a range of diverse scenes. RSSCN7 includes seven distinct scene classes, with 400 images per class. |
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## Details |
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### Statistics |
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- Total Number of Images: 2,800 |
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- Image Resolution: 400x400 pixels |
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- Scene Classes: 7 |
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- Dataset Size: 0.36GB |
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## Citation |
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If you use the RSSCN7 dataset in your research, please consider citing the following publication or the dataset's official website: |
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```bibtex |
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@article{7272047, |
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title = {Deep Learning Based Feature Selection for Remote Sensing Scene Classification}, |
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author = {Zou, Qin and Ni, Lihao and Zhang, Tong and Wang, Qian}, |
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year = 2015, |
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journal = {IEEE Geoscience and Remote Sensing Letters}, |
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volume = 12, |
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number = 11, |
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pages = {2321--2325}, |
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doi = {10.1109/LGRS.2015.2475299} |
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} |
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``` |
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- Paper with code: https://paperswithcode.com/dataset/rsscn7 |
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- Repo: https://github.com/palewithout/RSSCN7 |
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