By providing access to vital data and insightful analytics, Orbuculum promises to act as a potent resource in the ongoing battle against some of the most urgent global concerns. It is poised to serve as an invaluable conduit for public welfare initiatives, especially those striving to mitigate climate change. Orbuculum's potential extends far beyond the reinvention of the GIS/EO research industry.

This enables automatic remuneration for the creators each time their models are deployed, fostering an efficient and rewarding ecosystem. Standing distinctively apart from conventional marketplaces, Orbuculum pioneers a transformative approach by transmuting these models into smart contracts. Orbuculum is an innovative and rapidly evolving platform designed with the specific intent to empower GIS and Earth Observation (EO) researchers by offering a unique avenue for monetizing their machine learning models. 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. Techniques for deep learning on satellite and aerial imagery.

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