srai library
SRAI: Towards Standardization of Geospatial AI
Gramacki, Piotr, Leśniara, Kacper, Raczycki, Kamil, Woźniak, Szymon, Przymus, Marcin, Szymański, Piotr
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.
2310.13098
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- Research Report (0.64)
- Overview (0.46)
Industry:
- Information Technology (0.94)
- Transportation > Infrastructure & Services (0.47)
- Transportation > Ground > Road (0.46)
Technology:
- Information Technology > Software (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Spatial Reasoning (1.00)
- Information Technology > Artificial Intelligence > Natural Language (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.69)