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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
MINING FASHION OUTFIT USING DEEP LEARNING
Authors
Vedanti Awati, Bhagyashri Gaikwad, Pranali Gunai, Prof.M.k.Kodmelwar
Keywords
Artificial Neural Network (ANN), CNN,E-commerce,OTP,Deep Learning
Abstract
Fashion industry have evolved in many fields and its growing and making huge market in garment companies and e-commerce entities. The challenging task for IT industry in fashion is to model a predictive system with the domain of data mining. Our project deals with such a system which will result in composing fashion outfits. Meaning, while choosing the cloth this system will recommend the other products (like, bag, footwear, etc.) with it.Our approach is to first implement an end-to-end systemof encoding visual features using a deep convolutional network for complicated visual contents of a fashion image because it is impossible to label oreven list all possible attributes for every clothing image. Secondly, wepropose a multi-modal deep learning framework for rich contexts of fashion outfit. Since, wemust consider not only the pixel information butalso the context information in the fashion outfit.
IJCRT's Publication Details
Unique Identification Number - IJCRT1807114
Paper ID - 185788
Page Number(s) - 970-977
Pubished in - Volume 6 | Issue 2 | April 2018
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Vedanti Awati, Bhagyashri Gaikwad, Pranali Gunai, Prof.M.k.Kodmelwar , "MINING FASHION OUTFIT USING DEEP LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.970-977, April 2018, Available at :http://www.ijcrt.org/papers/IJCRT1807114.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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