Open AccessYolov5, Yolo-x, Yolo-r, Yolov7 Performance Comparison: A Survey
Author(s) -
Ismat Saira Gillani,
Muhammad Munawar,
Muhammad Talha,
Salman Azhar,
Yousra Mashkoor,
Muhammad Sami uddin,
Uzma Zafar
Publication year - 2022
Language(s) - Uncategorized
Resource type - Conference proceedings
DOI - 10.5121/csit.2022.121602
Subject(s) - computer science , object detection , artificial intelligence , football , code (set theory) , domain (mathematical analysis) , deep learning , object (grammar) , computer vision , pattern recognition (psychology) , set (abstract data type) , geography , mathematical analysis , mathematics , archaeology , programming language