Cloth Recognition using Machine Learning Project | Cloth Detection using Deep Learning

Cloth Recognition using Machine Learning Project

Clothing Detection is a clothing recognition model that uses YOLO Algorithm. It can detect the position of tops and bottoms from an input image. Types of clothing items we consider in the proposed system include shirt, pants, suit, dress and so on. Certainly, clothing style classification represents a recent computer vision research subject who has several attractive applications, including e-commerce and on-line advertising.

Classifying User Clothes in different varities like Person wearing formal, casual, street wear or sports wear this machine learning model can classify  the type of cloth wearing. This is the aim of the project and it uses YOLO V8 Algorithm and this project works on both image and webcam that system can able to detect the type of cloth, whatever person wearing.It is website based interface and it contain login and signup functionality where user have to enter correct crediential to access the system.This system works on image and webcam functionality.

1. In Image section user have to upload any image from system or it can download from internet, user have to first select image and after prediction it will predict class like Person wearing formal cloth or sports wear. similarly it works on every images.

2. In Webcam section it will open laptop front camera and model will detect the person wearing clothes and it will classify cloth type like formal, casual or other type.

Fashion Clothes Detection using Machine Learning

Software Requirements :-

  • Coding Language : Python
  • Implementation: Software Framework.
  • Operating system : Windows 10 / 11.
  • Graphical User Interface : Tkinter

Hardware Requirement:-

  • Input Devices : Keyboard, Mouse.
  • System : Pentium i3 Processor.
  • Hard Disk : 500 GB.
  • RAM : 4 GB.

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