Cloud Computing

A Stable and Reproducible Vision–Language Inference Engine for SAGAI v1.1
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A Stable and Reproducible Vision–Language Inference Engine for SAGAI v1.1

Python, Urbanism, Vision Language Model

A Stable and Reproducible Vision–Language Inference Engine for SAGAI v1.1

SAGAI v1.1 introduces Module 3 v2.0, a stable and reproducible vision–language inference engine for streetscape analysis. Built exclusively on Hugging Face LLaVA models, it enables robust multimodal processing of street-level images for large-scale urban and geospatial analysis.

Joan Perez2025-12-17T17:07:11+00:00December 17, 2025|Categories: Python, Urbanism, Vision Language Model|Tags: AI, Cloud Computing, GIS, Llava, Spatial Analysis|0 Comments

Processing Spatial Data in the Cloud with GeoPandas and Google Colab
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Processing Spatial Data in the Cloud with GeoPandas and Google Colab

Cloud computing, GIS, Intermediate, Python

Processing Spatial Data in the Cloud with GeoPandas and Google Colab

Learn how to process geospatial data entirely in the cloud using GeoPandas, Google Colab, and Drive. Create, analyze, and save maps without local setup.

Joan Perez2025-11-08T16:44:18+00:00November 7, 2025|Categories: Cloud computing, GIS, Intermediate, Python|Tags: Cloud Computing, GeoPandas, GIS, Google Colab, Python|0 Comments