This paper is published in Volume-7, Issue-4, 2021
Area
Computer Science and Engineering
Author
Guru S. S., Giridharan K., Mohammed Fahad, Fahid Akthar A.
Org/Univ
Prathyusha Engineering College, Thiruvallur, Tamil Nadu, India
Pub. Date
30 August, 2021
Paper ID
V7I4-1865
Publisher
Keywords
E-Commerce, Accessories

Citationsacebook

IEEE
Guru S. S., Giridharan K., Mohammed Fahad, Fahid Akthar A.. Image classification, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Guru S. S., Giridharan K., Mohammed Fahad, Fahid Akthar A. (2021). Image classification. International Journal of Advance Research, Ideas and Innovations in Technology, 7(4) www.IJARIIT.com.

MLA
Guru S. S., Giridharan K., Mohammed Fahad, Fahid Akthar A.. "Image classification." International Journal of Advance Research, Ideas and Innovations in Technology 7.4 (2021). www.IJARIIT.com.

Abstract

More than 25 % of the entire revenue in E-Commerce is attributed to apparel & accessories. A major problem they face is categorizing these apparel from just the images especially when the categories provided by the brands are inconsistent. There is potentially n number of categories in which a given image can be classified. Manually checking and classifying images is a very tedious process. The task becomes near impossible when we're faced with a massive number of images, say 10,000 or even 100,000. How useful would it be if we could automate this entire process and quickly label images per their corresponding class? We can solve this problem by implementing the image classification