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A collection of techniques for deep learning with satellite and aerial imagery, including object detection and classification.
A comprehensive collection of geospatial tools and resources for data analysis, machine learning, and spatial applications.
TorchGeo is a Python library for working with geospatial data using PyTorch, providing datasets, samplers, transforms, and pre-trained models.
List of satellite image training datasets with annotations for computer vision and deep learning
A Python library for processing and visualizing satellite imagery data.
A curated list of tools and resources for working with Earth observation and geospatial satellite imagery data.
A Python package for processing earth-observing satellite data with support for common data formats and tools.
A collection of datasets for deep learning with satellite and aerial imagery.
GRASS is a free and open-source geospatial processing engine for spatial data analysis and visualization.
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