Manuscript Number : IJSRSET229345

Fashion-MNIST Clothing Classification using Deep Learning

Authors(4) :-Rajesh Kumar S, Darshan R, Akshay G S, Bhoomika M

Online fashion market is constantly growing, and an algorithm capable of identifying garments can help companies in the clothing sales sector to understand the profile of potential buyers and focus on sales targeting specific niches, as well as developing campaigns based on the taste of customers and improve user experience. Artificial Intelligence approaches able to understand and label humans’ clothes are necessary, and can be used to improve sales, or better understanding users. Convolutional Neural Network models have been shown efficiency in image c1assification. It presents four different Convolutional Neural Networks models that used Fashion-MNIST dataset. Fashion-MNIST is a dataset made to help researchers finding models to classify this kind of product such as clothes, and the paper that describes it presents a comparison between the main classification methods to find the one that better label this kind of data. The main goal of this project is to provide future research with better comparisons between classification methods.

Authors and Affiliations

Rajesh Kumar S
Assistant Professor, CiTeh, Bangalore, Karnataka, India
Darshan R
Student, CiTech, Bangalore, Karnataka, India
Akshay G S

Bhoomika M

Fashion-MNIST, Clothing Classification, Deep Learning

  1. Wang Di “A comparative research on clothing images classification based on neural network models” IEEE 2nd International Conference on Civil Aviation Safety and Information Technology (ICCASIT), 2020
  2. S Shubathra, PCD Kalaivaani, S Santhoshkumar “Clothing Image Recognition based on multiple features using deep neural networks” International Conference on Electronics and Sustainable Communication Systems (ICESC), 2020
  3. A.S Henrique, Anita Maria da Rocha Fernandes, Rodrigo Lyra et al. “Classifying Garments from Fashion-MNIST Dataset Through CNNs” Advances in science technology and engineering systems, 2020
  4. Greeshma, K.V., & Sreekumar, K. Hyperparameter Optimization and Regularization on Fashion-MNIST Classification,2018.
  5. Hsieh, P. C., & Chen, C. P. (2018). Multi-task Learning on MNIST Image Datasets
  6. P. Tangseng, Z. Wu, and K. Yamaguchi. (2017). "Looking at outfit to parse clothing.

Publication Details

Published in : Volume 9 | Issue 3 | May-June 2022
Date of Publication : 2022-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 152-155
Manuscript Number : IJSRSET229345
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Rajesh Kumar S, Darshan R, Akshay G S, Bhoomika M, " Fashion-MNIST Clothing Classification using Deep Learning , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 3, pp.152-155, May-June-2022. Available at doi : https://doi.org/10.32628/IJSRSET229345      Journal URL : https://res.ijsrset.com/IJSRSET229345

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