Raster Vision is a Python-based deep learning framework for building computer vision models on satellite, aerial, and drone imagery. It supports tasks such as chip classification, object detection, and semantic segmentation with built-in integration for PyTorch. Designed for ease of use and reproducibility, it provides utilities for preparing geospatial data, training models, generating predictions, and exporting geo-referenced outputs. Raster Vision is particularly well-suited for precision agriculture, land use analysis, and environmental monitoring, where spatial context and scale are critical. GSODR (rOpenSci, 2024).: An API client for Global Surface Summary of the Day (GSOD) weather data, providing access to historical weather data for agricultural analysis.
Rastervision
Rastervision
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