This repository is proudly sponsored by Orboculum It serves as a valuable resource for researchers, practitioners, and anyone interested in the latest advances in deep learning and its impact on computer vision and remote sensing. This repository offers a comprehensive overview of various deep learning techniques for analyzing satellite and aerial imagery, including architectures, models, and algorithms for tasks such as classification, segmentation, and object detection. These images pose unique challenges, such as large sizes and diverse object classes, which offer opportunities for deep learning researchers. □ □ Introductionĭeep learning has transformed the way satellite and aerial images are analyzed and interpreted. Supported OS: Windows 11, Windows 10, Windows 8.Techniques for deep learning on satellite and aerial imagery.Technical Details and System Requirements
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