SUN397 dataset

The database contains 397 categories subset from the SUN dataset for Scene Recognition used in the following paper. The number of images varies across categories, but there are at least 100 images per category, and 108,754 images in total. All images are in jpg format. The images provided here are for research purposes only.

The file ClassName.txt contains the name list for the 397 categories.

Please cite the following paper if you use this dataset in your research.

J. Xiao, J. Hays, K. Ehinger, A. Oliva, and A. Torralba. SUN Database: Large-scale Scene Recognition from Abbey to Zoo. Proceedings of 23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR2010).

Please visit our project webpage for more information: http://groups.csail.mit.edu/vision/SUN/

Usage

from datasets import load_dataset

dataset = load_dataset('tanganke/sun397')