🤗 Initial commit

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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
+
+