Datasets:
| 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 | |