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metadata
tags:
  - image-classification
  - pytorch
  - huggingpics
metrics:
  - accuracy
model-index:
  - name: brand-detector
    results:
      - task:
          name: Image Classification
          type: image-classification
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.8428270220756531

brand-detector

Autogenerated by HuggingPics🤗🖼️

Create your own image classifier for anything by running the demo on Google Colab.

Report any issues with the demo at the github repo.

Example Images

adidas

adidas

arkk-copenhagen

arkk-copenhagen

asics

asics

birkenstock

birkenstock

bjorn-borg

bjorn-borg

by-garment-makers

by-garment-makers

camper

camper

carhartt-wip

carhartt-wip

caterpillar

caterpillar

champion

champion

chpo

chpo

clae

clae

colorful-standard

colorful-standard

converse

converse

dc-shoes

dc-shoes

dedicated

dedicated

dickies

dickies

doughnut

doughnut

dr-martens

dr-martens

fila

fila

fjallraven

fjallraven

hanwag

hanwag

happy-socks

happy-socks

havaianas

havaianas

herschel-supply

herschel-supply

iriedaily

iriedaily

keepcup

keepcup

lefrik

lefrik

loqi

loqi

makia

makia

maloja

maloja

new-balance

new-balance

new-era

new-era

nike

nike

norba-clothing

norba-clothing

on-running

on-running

onitsuka-tiger

onitsuka-tiger

palladium

palladium

rains

rains

reebok

reebok

saucony

saucony

secrid

secrid

sneaky

sneaky

stance

stance

superfeet

superfeet

the-north-face

the-north-face

timberland

timberland

toms

toms

triwa

triwa

under-armour

under-armour

vans

vans

veja

veja