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What is Comparative Analysis of Object Detection Algorithms about?

This document presents a comparative analysis of three object detection algorithms: YOLO, SSD, and Faster R-CNN, focusing on their performance in terms of speed, accuracy, and computational efficiency. The study utilizes the COCO dataset for evaluation and highlights the strengths and weaknesses of each algorithm, with YOLO excelling in speed, SSD offering a balance of speed and accuracy, and Faster R-CNN providing high accuracy at a slower pace. The findings aim to guide researchers and practitioners in se

Author

sreekuttynandu1311

Language

EN