---
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