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Volume - 5 | Issue - 2 | june 2023

Comparative Study of Target Image Detection using Deep Learning Open Access
Neha Vora  , Divya Shekhawat  61
Pages: 79-89
Cite this article
Vora, Neha, and Divya Shekhawat. "Comparative Study of Target Image Detection using Deep Learning." Journal of Innovative Image Processing 5, no. 2 (2023): 79-89
DOI
10.36548/jiip.2023.2.001
Published
20 May, 2023
Abstract

The object detection and deep learning technology has certainly proven effective in surveillance systems, automated driving, and facial recognition. Today, computer vision has given an entirely new perspective. However, when it comes to targeting a particular object within a complex image or video footage, it may seem to be a major challenge. By the rapid developments in the area of computer vision, the detectors have certainly improved greatly. This study presents a comprehensive literature review of various object detection algorithms, and their challenges, including one-stage and two-stage detectors. Finally, based on the current development of target image detection, the future prospects of research have been stated.

Keywords

Convolutional Neural Network (CNN) computer vision Target Image Detection

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