AiTLAS: Artificial Intelligence Toolbox for Earth Observation

TL;DR

AiTLAS is a comprehensive AI toolbox designed to enhance Earth Observation analysis by providing advanced machine learning tools and standardized datasets, enabling easier application and benchmarking of AI methods in satellite imagery tasks.

Contribution

It introduces a unified platform with state-of-the-art AI methods and standardized datasets to improve usability and benchmarking for Earth Observation applications.

Findings

Provides a versatile toolkit for various EO tasks

Facilitates benchmarking of AI models on EO datasets

Enhances accessibility for EO and AI experts

Abstract

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.