International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
Sep. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 91
Paper Published : 1444
No. of Authors : 3905
  Journal Paper

Paper Title
Analysis of Different Object Detection Systems

Abstract
Computer vision has hugely gained recognition after the advent of self- driving cars. Self-driving cars have brought the spotlight on object detection as it mainly requires object detection to perceive the environment around it and that aids the decision making of the self-driving car. The main idea behind the paper is to provide a comprehensive and detailed analysis of different real-time object detection algorithms evolved over technological advancements in the object detection paradigm, analysing the inner workings, and similarity and dissimilarity among these algorithms. The main object detection algorithms include Retinanet, YOLO v2, and YOLO v3. Keywords - Retina Net, Computer Vision, SSD, YOLO, Object Detection, Image Recognition.


Author - Rahul R, Pavan Kirageri, Sakshi Gowda, Suhas M S, Vinay M G

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| Published on 2019-08-16
   
   
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