Abstract
In computer vision, several algorithms carry out the process of object recognition through machine learning. Among them, You Only Look Once (YOLO) stands out, a Darknet algorithm that had its most significant relevance in the YoloV4 version for presenting an outstanding performance on both personal computers and mobile devices. This article presents a feasibility study of this tool for the possibility of helping visually impaired people detect objects through their mobile devices and thus help in everyday tasks.
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