OBJECT DETECTION AS A NEW STAGE OF MODERN TECHNOLOGIES

This article provides an in-depth analysis of advanced algorithms for automatic object detection and classification in video imagery. The rapid advancements in artificial intelligence and deep learning have significantly enhanced the accuracy and efficiency of these processes. The study examines state-of-the-art algorithms such as YOLO, Faster R-CNN, and SSD, exploring their underlying principles, software frameworks, and practical applications across various domains. The article aims to offer a comprehensive understanding of modern approaches to object detection and their effective implementation.

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