23 datasets found

A large-scale satellite depth completion dataset for training and testing spacecraft depth completion algorithms.

Sentinel-2 Level-2A data is an open source 10-60 m/px spatial resolution satellite imagery product provided by the European Space Agency.

Semi-supervised learning for improved post-disaster damage assessment from satellite imagery.

Simulated data used to compare the performance of Jekyll and Hyde against a more traditional supervised Machine Learning approach.

KITTI and Ford Multi-AV Seasonal datasets are used for training and evaluation of the proposed method.

Two cross-view localization datasets, KITTI-CVL and FordAV-CVL, are constructed by collecting spatial-consistent satellite counterparts from Google Map according to the provided...

The dataset used for the advection augmented convolutional neural networks.

Satlas is a large-scale pre-training dataset designed for tasks involving the analysis of satellite images.

The Google Static Maps API dataset is used to obtain high-resolution daytime satellite images.

The dataset consists of real estate properties and high-resolution satellite images of houses in Los Angeles County.

Machine learning in remote sensing has matured alongside an increase in the availability and resolution of satellite imagery, enabling advances in such tasks as land use...

The dataset used in this paper is the spacenet multi-view dataset, which includes both multi-date and single-date multi-view RGB images.

The dataset is used for building detection from satellite multispectral imagery data.

The dataset is used for training and validation of the segmentation networks.

Aerial imaging of ground targets is highly challenging because of various factors that affect light propagation through different mediums. Several convolutional neural...

A dataset for assessing glacier damage from satellite imagery

A dataset for assessing building damage from satellite imagery

A dataset for assessing building damage from satellite imagery

A dataset for evaluating geospatial foundation models

A dataset for evaluating geospatial foundation models