STYLE
BUSTERS
Team 12
Clothes
Logos
Artworks
INTRODUCTION
We introduce a new searching technique for finding similar style Clothes, Artworks, and Logos.
PROBLEM DEFINITION
FASHION DESIGNERS CANNOT FIND OUT IF THEIR DESIGNS HAVE BEEN STOLEN
2
1
SHOPPERS CANNOT FIND SIMILAR STYLE CLOTHES FROM VARIOUS E-COMMERCE WEBSITES
PROBLEM DEFINITION
THERE ARE CURRENTLY NO RELIABLE METHOD TO FIND SIMILAR LOGOS
Looka.com
FreeLogoDesign.org
LogoMaker.com
PROBLEM DEFINITION
THERE ARE CURRENTLY NO RELIABLE METHOD TO FIND SIMILAR STYLE ARTWORKS
OBJECTIVES
CLOTHES
Our system shall allow the users to search for similar style clothes.
RELIABLE SEARCH
Our system introduces a new searching technique for reliable search.
LOGOS
Our system shall allow the users to search for identical logos.
ARTWORKS
Our system shall allow the users to search for similar style artworks.
DATASETS DESCRIPTION
WIKIART DATASET
Size: 25.5 GB
Number of classes: 23 different artists and 27 different styles Number of images: 80000
DEEPFASHION2 DATASET
Size: 13 GB
Number of classes: 13 different clothing categories Number of images: 491K diverse image
FASHION PRODUCT IMAGES DATASET
Size: 25 GB
Number of classes: 28 Number of images: 44K
CLOTHES SYSTEM OVERVIEW
LOGOS SYSTEM OVERVIEW
ARTWORKS SYSTEM OVERVIEW
Introducing a new search technique
They Search Locally Very High Storage Cost
Must be updated Regulary
They Search In Random Sources
They Cannot Control Accuracy They Display Limited Results
Not Reliable For Professinal Domains Faster
Traditional Method
Our Method
We Search Remotely Low Storage Cost
No Updates Required
We Only Search In Reliable Sources We Can Control Accuracy
We Display All The Results
Can Be Used In Professional Domains A bit Slower
CLASS DIAGRAM
Clean Architecture
DESIGN PATTERN
SEQUENCE DIAGRAM
Server
Feature extraction
Application
USER INTERFACE
HomePage
No Connection
Upload clothes Image
Retrive image of Clothes
USER INTERFACE
Upload artworks image
Artworks results email
Upload Logo Image
Logos results email
Artworks
RESULTS
VGG 11
Training accuracy:- Validation accuracy :-
90%
77.0377%
The results shown above were achieved using the Wiki-Art dataset and VGG 11 model.
Training accuracy:- 89.71%
validation accuracy:- 76.6696%
The results shown above were achieved using the Wiki-Art dataset and VGG 16 model.
CLOTHES OBJECT DETECTION
CONFUSION MATRIX
LOGOS DEMO
ARTWORKS WEBSCRAPING DEMO
ARTWORKS FEATURES EXTRACTION DEMO
CLOTHES OBJECT DETECTION
DEMO
WHAT'S NEXT
1
2
Training a Feature extractor to extract the style of clothes
Developing a mobile application to link all of our system components together
3
Developing a website to go alongside the mobile application
THANK YOU