brand-detector

Brand detector is a particular case of image classification, since these may contain only text, images, or a combination of both.

In this work, we trained a system for the brand classification of shoes available at https://www.shooos.com/.

The method allows obtaining the most similar brands on the basis of their shape, color, business sector, semantics, general characteristics, or a combination of other features.

The proposed approach is evaluated using 15% of unseen images of the dataset. The experimentation carried out attained reliable performance results, both quantitatively and qualitatively.

How to test:

• find on Google Images any image related to shoe brands below and test it!

This model is not fully trained yet :D

Example Images

adidas

arkk-copenhagen

asics

birkenstock

bjorn-borg

by-garment-makers

camper

carhartt-wip

caterpillar

champion

chpo

clae

colorful-standard

converse

dc-shoes

dedicated

dickies

doughnut

dr-martens

fila

fjallraven

hanwag

happy-socks

havaianas

herschel-supply

iriedaily

keepcup

lefrik

loqi

makia

maloja

new-balance

new-era

nike

norba-clothing

on-running

onitsuka-tiger

palladium

rains

reebok

saucony

secrid

sneaky

stance

superfeet

the-north-face

timberland

toms

triwa

under-armour

vans

veja