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README.md

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----
-license:
-- unknown
-task_categories:
-- image-classification
-language:
-- en
-tags:
-- remote-sensing
-- earth-observation
-- geospatial
-- satellite-imagery
-- scene-classification
-pretty_name: RSSCN7
-size_categories:
-- 1K<n<10K
----
-
-# RSSCN7
-
-![RSSCN7](./thumbnail.png)
-
-## Description
-
-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.
-
-## Details
-
-### Statistics
-- Total Number of Images: 2,800
-- Image Resolution: 400x400 pixels
-- Scene Classes: 7
-- Dataset Size: 0.36GB
-
-## Citation
-
-If you use the RSSCN7 dataset in your research, please consider citing the following publication or the dataset's official website:
-
-```bibtex
-@article{7272047,
-  title        = {Deep Learning Based Feature Selection for Remote Sensing Scene Classification},
-  author       = {Zou, Qin and Ni, Lihao and Zhang, Tong and Wang, Qian},
-  year         = 2015,
-  journal      = {IEEE Geoscience and Remote Sensing Letters},
-  volume       = 12,
-  number       = 11,
-  pages        = {2321--2325},
-  doi          = {10.1109/LGRS.2015.2475299}
-}
-```
-
-- Paper with code: https://paperswithcode.com/dataset/rsscn7
-- Repo: https://github.com/palewithout/RSSCN7
-
-