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YOLO Version v1 to v8 Comprehensive Review | IEEE Conference Publication | IEEE Xplore

YOLO Version v1 to v8 Comprehensive Review


Abstract:

Real time object detection methods are useful in assessing different situation like theft, military activities, health care sectors etc. YOLO is one of the fastest deep l...Show More

Abstract:

Real time object detection methods are useful in assessing different situation like theft, military activities, health care sectors etc. YOLO is one of the fastest deep learning techniques for object detection. In this research study comprehensive survey is done for different versions of YOLO object detection technique which is very popular nowadays. YOLO version 1 to 8 is surveyed in this research study; comparative study is done based on dataset used, YOLO architecture, mAP achieved, strength and limitation. the major changes done in architecture is also elaborated in this research study.
Date of Conference: 24-26 April 2024
Date Added to IEEE Xplore: 07 June 2024
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Conference Location: Lalitpur, Nepal

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