rid17pawar / FashionApparelClassification-webapp

A web application for classifying clothing photos uploaded by users. It makes use of a deep learning model which is deployed using FastAPI. Achieved 85% accuracy in classifying images.

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FashionPoint : Fashion Apparel Classification Web application

YouTube Video Link: [https://youtu.be/kE2MOAUNj3s)

Description-

A web application for classifying clothing photos uploaded by users. It makes use of a deep learning model, which is deployed using FastAPI. The Convolutional Neural Network Model achieved 85% accuracy in classifying images. These images may belong to any one of the 6 different classes namely, Bottomwear, Kurti, Loungewear and Nightwear, One Piece Dress, Saree, Topwear.

PPT Presentation: click here

Project Research Paper: click here

Technologies Used-

  • FastAPI
  • React
  • Keras Library

Snapshots-

  1. Home Page

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  1. Drag and Drop Image Upload

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  1. Processing Image

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  1. Image Classification Results

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About

A web application for classifying clothing photos uploaded by users. It makes use of a deep learning model which is deployed using FastAPI. Achieved 85% accuracy in classifying images.


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