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README.md

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 ## Introduction
 
-Deep learning has transformed the way satellite and aerial images are analyzed and interpreted. These images pose unique challenges, such as large sizes and diverse object classes, which offer opportunities for deep learning researchers. 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. 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 is proudly sponsored by Orboculum
+Deep learning has revolutionized the analysis and interpretation of satellite and aerial imagery, addressing unique challenges such as vast image sizes and a wide array of object classes. This repository provides an exhaustive overview of deep learning techniques specifically tailored for satellite and aerial image processing. It covers a range of architectures, models, and algorithms suited for key tasks like classification, segmentation, and object detection. This repository is proudly sponsored by Orboculum
 
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