10 datasets found

We use the MIT Indoor-67 dataset for scene classification.

UC-Merced dataset for scene classification.

The dataset used in the paper is MIT-Indoor67, a scene classification dataset.

The Places365-Challenge dataset is used for scene classification.

The dataset used in the paper is a collection of images of objects with varying viewpoints, used for training and testing the proposed RRB framework.

The SUN attribute dataset is a collection of images of scenes.

The Optimal-31 dataset [82] was created in 2017 by Northwestern Polytechnical University, China.

NWPU-RESISC45 dataset was collected from more than 100 countries and regions in the world, consists of 31,500 remote sensing images.

Remote sensing scene classification has been extensively studied for its critical roles in geological survey, oil exploration, traffic management, earthquake prediction,...

The AID dataset is a benchmark dataset for performance evaluation of aerial scene classification.