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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM22577

OBJECT LOCALIZATION WITH TENSORFLOW

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM22577

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

TSK

T. Shiva Kumar

MY

M. Yamini

KJJ

K. Jemima Joy

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Abstract

The process of locating one or more items in an image and tracing a bounding box around their extent is known as object localization. These two tasks are combined in object detection, which locates and categories one or more items in an image. Regression-based image/object localization produces x and y coordinates around the object of interest in order to construct bounding boxes. One of the tasks involved in image recognition is object localization, along with picture Categorization and object detection. Although the terms object localization and object Detection are frequently used interchangeably, they are not the same. Similar to this, categorization and localization of images are two distinct concepts.

KEYWORDS

Object Localization TensorFlow convolutional neural networks (CNNs).

Cite This Article

T. Shiva Kumar, M. Yamini, K. Jemima Joy, "OBJECT LOCALIZATION WITH TENSORFLOW," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023.

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Publication Date

4/5/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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