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Loganayagi, S.
- A Complete Analysis on the Applications and Challenges in Object Detection Models
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PDF Views:77
Authors
S. Loganayagi
1,
Dr. D. Usha
2
Affiliations
1 Ph.D Research Scholar, Department of Computer Science, Mother Teresa Women’s University, Kodaikanal, IN
2 Assistant Professor, Department of Computer Science, Mother Teresa Women’s University, Kodaikanal, IN
1 Ph.D Research Scholar, Department of Computer Science, Mother Teresa Women’s University, Kodaikanal, IN
2 Assistant Professor, Department of Computer Science, Mother Teresa Women’s University, Kodaikanal, IN
Source
IBMRD's Journal of Management & Research, Vol 11, No 2 (2022), Pagination: 244-252Abstract
Object Detection is a visionary technique wrt computer in locating or identifying the existence of objects present in images and videos. This technology in Artificial Intelligence helps the computer for visualisation and identification. An image consists of various objects and each application focusses on specific objects for example face detection application for face finding and a control system created for traffic focusses the vehicles. It can also be used in capturing the item of notice and thus it improves the time of execution. It involves image classification and object localization and can be attained by applying either ML or DL such as Viola Jones face detector, AlexNet etc. It has a lot of applications to fit in, it is used in autonomous driving, agriculture field, crowd counting , healthcare sector and so on. This paper focuses on the complete understanding of Object detection models, areas of applications and challenges.Keywords
Object Detection, Face Detector, AlexNet, Autonomous Driving.Full Text
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