199 datasets found

SSL4EO-S12: A large-scale, globally distributed, multi-temporal and multi-sensor dataset for self-supervised learning in Earth observation.

The ISPRS Potsdam dataset consists of remotely sensed imagery with a spatial resolution of 5 centimeters, and includes 6 semantic classes.

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,...

A dataset for semantic segmentation of high-resolution remote sensing images.

A benchmark dataset for semantic segmentation of high-resolution remote sensing images.

A high-resolution satellite dataset with 6 land-use classes, annotated according to the land-use types, which can facilitate future studies in this field.

The LoveDA dataset contains high-spatial-resolution images from three different cities, focusing on improving the generalization capability of model from different urban and...

The dataset is used for oceanic eddy detection and classification from Sea Surface Height (SSH) maps.

The Ahr Valley data set is used for testing the model's generalization to an out-of-distribution setting.

The xBD dataset comprises diverse disaster events from across the globe, serving as the primary focus for the evaluation of deep learning models.

Semantic segmentation of remote sensing imagery generally revolves two primary approaches: pixel-based and object-based methods.

The ISPRS Vaihingen dataset consists of remotely sensed imagery with a spatial resolution of 9 centimeters, and includes 6 semantic classes.

The dataset used in this study is Sentinel-2 Level-2A product with atmospherically corrected and orthorectified images.

The dataset used in this study is a 24-hour ambient population grid derived from LandScan USA Population Database 2019.

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

The dataset contains satellite images with annotated land cover.

The Salinas dataset was acquired over the Salinas Valley in California and gathered by the AVIRIS sensor.

UCMerced land use dataset for remote sensing image scene classification