SRAI: Towards Standardization of Geospatial AI

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Piotr Gramacki, Kacper Lesniara, Kamil Raczycki, Szymon Wozniak, Marcin Przymus, Piotr Szymanski

Published: 01 Jan 2023, Last Modified: 10 Jul 2025GeoAI@SIGSPATIAL 2023EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Spatial Representations for Artificial Intelligence (srai) is a Python library for working with geospatial data. The library can download geospatial data, split a given area into micro-regions using multiple algorithms and train an embedding model using various architectures. It includes baseline models as well as more complex methods from published works. Those capabilities make it possible to use srai in a complete pipeline for geospatial task solving. The proposed library is the first step to standardize the geospatial AI domain toolset. It is fully open-source and published under Apache 2.0 licence.