AiTLAS: Artificial Intelligence Toolbox for Earth Observation
This is an incremental toolbox that facilitates better usability and benchmarking of AI methods for Earth Observation experts.
The AiTLAS toolbox provides state-of-the-art machine learning methods and AI-ready datasets for Earth Observation tasks like land use classification and crop prediction, aiming to improve usability and adoption of AI in EO.
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.