Abstract: Semantic segmentation of remote sensing imagery plays an important role in applications such as environmental monitoring and disaster response. However, challenges such as complex spatial ...
Abstract: The fusion of optical, hyperspectral, and synthetic aperture radar (SAR) images is essential for semantic segmentation in remote sensing, enabling more comprehensive land cover ...
structured output from the OpenAI service. This model will be used to parse the structured output from the OpenAI service, and ensure that the model correctly outputs the schema based on the Pydantic ...
Task: Classify every pixel of a synthetic desert offroad image into one of 10 semantic classes: Background, Trees, Lush Bushes, Dry Grass, Dry Bushes, Ground Clutter, Logs, Rocks, Landscape, and Sky.
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