Datasets:
File size: 1,483 Bytes
b2945b3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
---
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
## 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
|