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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM24152

OPTIMIZING PRODUCT INFORMATION : IMAGE PROCESSING IN RETAIL INDUSTRY

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-

Subject:

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Paper ID:

IJSREM24152

Volume:

7 |

6 |

Jun 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

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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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RSA

Rahul Shriram Athavale

YDP

Yashita Digambar Parab

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Abstract

With the growth of the retail industry day by day, there is also an increase in the number of users. As we can see, a number of products are sold via the internet. Considering Amazon’s Ecommerce platform,an average of 1.3 million products is added each Day. Added such a large number of data manually may lead to inconsistency of data related to particular products. Consequently, image processing plays a significant role in the detection of attributes from images, such as the type of neck, the type of sleeves, the type of color, and the type of pattern.

KEYWORDS

Face Detection Algorithm CNN Feature Detection

Cite This Article

Rahul Shriram Athavale, Yashita Digambar Parab, "OPTIMIZING PRODUCT INFORMATION : IMAGE PROCESSING IN RETAIL INDUSTRY," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023.

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6/28/2023

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