CloudSEN12 is a large dataset (~1 TB) for cloud semantic understanding that consists of 49,400 image patches that are evenly spread throughout all continents except Antarctica.
Benchmark-data
- This repository contains a description of the dataset and how to use it. It also contains example code to get a working segmentation model up and running quickly using a small sample dataset.
- This website provides a comprehensive and interactive catalog of reference benchmark datasets. Check it out here.
- Sen4AgriNet is a harmonized multi-country, multi-temporal benchmark dataset for agricultural earth observation machine learning applications. Learn more here.
- Here is a long list of available benchmark datasets which are acquired using airborne/spaceborne imaging/radar sensors.
- This dataset is collected from the German TerraSAR-X satellite, which is working in x-band and HH polarization mode with image resolutions ranging from 0.5m to 3m.
- Million-AID is a large-scale benchmark dataset containing a million instances for remote sensing scene classification.
