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SRAI: Towards Standardization of Geospatial AI

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arxiv 2310.13098 v2 pith:Q5LYZN2Y submitted 2023-10-19 cs.LG

Piotr Gramacki , Kacper Leśniara , Kamil Raczycki , Szymon Woźniak , Marcin Przymus , Piotr Szymański This is my paper · ORCID
classification cs.LG
keywords geospatiallibrarysraidatapublishedalgorithmsapachearchitectures
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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.

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