  The AiTLAS toolbox (Artificial Intelligence Toolbox for Earth Observation)
includes state-of-the-art machine learning methods for exploratory and
predictive analysis of satellite imagery as well as repository of AI-ready
Earth Observation (EO) datasets. It can be easily applied for a variety of
Earth Observation tasks, such as land use and cover classification, crop type
prediction, localization of specific objects (semantic segmentation), etc. The
main goal of AiTLAS is to facilitate better usability and adoption of novel AI
methods (and models) by EO experts, while offering easy access and standardized
format of EO datasets to AI experts which further allows benchmarking of
various existing and novel AI methods tailored for EO data.
