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 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:

@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