Most people assume object tracking for autonomous flight is very complex, but it doesn’t have to be that way. All you need is ...

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Oriented object detection in remote sensing imagery has emerged as a critical field of study, addressing the challenge of recognising and localising objects that appear at arbitrary angles in aerial ...

Abstract: Object detection stands as a fundamental component in numerous real-world applications, ranging from autonomous vehicles to security systems. As these technologies become increasingly ...

"Welcome to the object detection inference walkthrough! This notebook will walk you step by step through the process of using a pre-trained model to detect objects in ...

Abstract: Objects in household that are frequently in use often follow certain patterns with respect to time and geographical movement. Analysing these patterns can help us keep better track of our ...

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If you have trouble following the instruction below, feel free to join OSCER weekly zoom help sessions. If you're doing deep learning neural network research, tensorflow need no introduction. It is ...