Style Busters
Logos
Clothes
Who Are We?
Artworks
Problem Statement
Online Shoppers and Fashion Designers suffer to find a similar style piece of clothes across millions of products on E-commerce websites.
Logo Generation Businesses Have No Way To Find Out If The Generated Logos Already Exists.
There Is Currently No Way To Find Out If The Style Of An Artwork Belongs To A Certain Artist.
Objectives
Easing The Process Of Finding Similar Style Clothes To Save Time and Effort by Automating This Process Using Deep Learning Techniques.
Preventing The Replication of Logos Caused By The Logos Generators.
Preventing The Stealing Of Artists Existing Artworks Style Using Deep Learning Techniques.
Clothes
System Overview
Artworks
System Overview
Logos
System Overview
Use-Cases
Functional Requirements
System shall be able to retrieve images of artworks with similar style to the uploaded image.
System shall be able to retrieve images of clothes with similar style to the uploaded image.
System shall be able to retrieve logos that are similar to the uploaded logo.
Non-functional requirements
The system should be maintainable and we will achieve this by documenting our system and using a clean architecture pattern when developing the system's mobile application.
The system shall be always up and running to receive requests from the users (internet connection is required to receive the results).
The system should be easy to use and this will be achieved by creating a user-friendly and organized user-interface.
Non-functional requirements
The system shall work on any Android or IOS powered devices.
The system must be secure and protected against any type of attacks and we will achieve this by taking various security measures such as encrypting the passwords of the users by hashing to keep their data secure.
The system should be reliable and we will achieve this by reducing down times by choosing a reliable hosting service.
Portability
Security
Class Diagram
Dataset
Our dataset is an extensive dataset of fashion designs, and it is called DeepFashion2 . Deep- fashion2 contains 292K diverse images from 13 different clothing categories that are famous for commercial shopping stores and consumers.
Source: https://github.com/switchablenorms/DeepFashion2
User Interface
How We Are Different
From
They Search By Look, We Search By Style.
1
Traditional Visual Search
Engines?
2 They Search Locally, We Search Remotely.
3 They Display Limited Results, We Will Display All The Results.
They Display Results From
Random Unverified Sources, We Will Display Results Only From Verified Sources.
4
Logos API
Logos Demo
Clothes Demo
Artworks API
Proposed Approach
Similar Look:
Similar Style:
Proposed Approach
VGG ARCHITECTURE
Our Team
Waleed
Abdelrahman
Sherif
Adham
Dr.Fatma
Eng. Mahmoud
Thank
you!