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yolo object detection algorithms series: a review
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نویسنده
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ghanbari adivi reza
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منبع
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اولين كنفرانس ملي پژوهش و نوآوري در هوش مصنوعي - 1402 - دوره : 1 - اولین کنفرانس ملی پژوهش و نوآوری در هوش مصنوعی - کد همایش: 02230-75197 - صفحه:0 -0
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چکیده
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Object detection is a fundamental challenge in computer vision. you only look once (yolo) is an algorithm for detecting objects in real-time that employs deep learning for speed and accuracy and has applications in healthcare, agriculture, security surveillance, and autonomous vehicles. object detection is proposed in order to classify and localize target objects with a bounding box. this article provides an overview of the yolo algorithm and its subsequent enhanced iterations. the fundamental principle is that the yolo family is continuously improving. this article summarizes the structural improvement procedures for the yolo algorithms
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کلیدواژه
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object detection ,yolo ,deep learning ,single-stage object detection ,computer vision
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آدرس
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, iran
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پست الکترونیکی
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adivireza@gmail.com
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Authors
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