Marina-C/RESISC45-splits

Dataset Card for RESISC45 Dataset

RESISC45 dataset is a publicly available benchmark for Remote Sensing Image Scene Classification (RESISC), created by Northwestern Polytechnical University (NWPU). This dataset contains 31,500 images, covering 45 scene classes with 700 images in each class.

Dataset splits:

• Train: 22768 images (506 images per class).

• Test: 4320 images (96 images per class).

• Val: 4410 images (98 images per class).

• Homepage: http://www.escience.cn/people/JunweiHan/NWPU-RESISC45.html

• Tensorflow datasets: https://www.tensorflow.org/datasets/catalog/resisc45

@article{Cheng_2017, title={Remote Sensing Image Scene Classification: Benchmark and State of the Art}, volume={105}, ISSN={1558-2256}, url={http://dx.doi.org/10.1109/JPROC.2017.2675998}, DOI={10.1109/jproc.2017.2675998}, number={10}, journal={Proceedings of the IEEE}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Cheng, Gong and Han, Junwei and Lu, Xiaoqiang}, year={2017}, month={Oct}, pages={1865-1883} }