شماره ركورد كنفرانس :
5402
عنوان مقاله :
YOLO Object Detection Algorithms Series: A Review
عنوان به زبان ديگر :
YOLO Object Detection Algorithms Series: A Review
پديدآورندگان :
Ghanbari Adivi Reza adivireza@gmail.com Babol Noshirvani University of Technology
كليدواژه :
Object Detection , YOLO , Deep Learning , Single , stage object detection , Computer Vision
عنوان كنفرانس :
اولين كنفرانس ملي پژوهش و نوآوري در هوش مصنوعي
چكيده فارسي :
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