#geospatial

Raster Vision is an open-source Python framework that facilitates creating computer vision models for satellite and aerial imagery. It supports functions like chip classification, object detection, and semantic segmentation and provides cloud execution using AWS Batch and Sagemaker. This tool offers a low-code solution for comprehensive geospatial deep learning workflows, including data processing, model training, and result generation. It fits both novices and experts, offering installation via pip or Docker for flexible application.