
# 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

![adidas](images/adidas.jpg)

#### arkk-copenhagen

![arkk-copenhagen](images/arkk-copenhagen.jpg)

#### asics

![asics](images/asics.jpg)

#### birkenstock

![birkenstock](images/birkenstock.jpg)

#### bjorn-borg

![bjorn-borg](images/bjorn-borg.jpg)

#### by-garment-makers

![by-garment-makers](images/by-garment-makers.jpg)

#### camper

![camper](images/camper.jpg)

#### carhartt-wip

![carhartt-wip](images/carhartt-wip.jpg)

#### caterpillar

![caterpillar](images/caterpillar.jpg)

#### champion

![champion](images/champion.jpg)

#### chpo

![chpo](images/chpo.jpg)

#### clae

![clae](images/clae.jpg)

#### colorful-standard

![colorful-standard](images/colorful-standard.jpg)

#### converse

![converse](images/converse.jpg)

#### dc-shoes

![dc-shoes](images/dc-shoes.jpg)

#### dedicated

![dedicated](images/dedicated.jpg)

#### dickies

![dickies](images/dickies.jpg)

#### doughnut

![doughnut](images/doughnut.jpg)

#### dr-martens

![dr-martens](images/dr-martens.jpg)

#### fila

![fila](images/fila.jpg)

#### fjallraven

![fjallraven](images/fjallraven.jpg)

#### hanwag

![hanwag](images/hanwag.jpg)

#### happy-socks

![happy-socks](images/happy-socks.jpg)

#### havaianas

![havaianas](images/havaianas.jpg)

#### herschel-supply

![herschel-supply](images/herschel-supply.jpg)

#### iriedaily

![iriedaily](images/iriedaily.jpg)

#### keepcup

![keepcup](images/keepcup.jpg)

#### lefrik

![lefrik](images/lefrik.jpg)

#### loqi

![loqi](images/loqi.jpg)

#### makia

![makia](images/makia.jpg)

#### maloja

![maloja](images/maloja.jpg)

#### new-balance

![new-balance](images/new-balance.jpg)

#### new-era

![new-era](images/new-era.jpg)

#### nike

![nike](images/nike.jpg)

#### norba-clothing

![norba-clothing](images/norba-clothing.jpg)

#### on-running

![on-running](images/on-running.jpg)

#### onitsuka-tiger

![onitsuka-tiger](images/onitsuka-tiger.jpg)

#### palladium

![palladium](images/palladium.jpg)

#### rains

![rains](images/rains.jpg)

#### reebok

![reebok](images/reebok.jpg)

#### saucony

![saucony](images/saucony.jpg)

#### secrid

![secrid](images/secrid.jpg)

#### sneaky

![sneaky](images/sneaky.jpg)

#### stance

![stance](images/stance.jpg)

#### superfeet

![superfeet](images/superfeet.jpg)

#### the-north-face

![the-north-face](images/the-north-face.jpg)

#### timberland

![timberland](images/timberland.jpg)

#### toms

![toms](images/toms.jpg)

#### triwa

![triwa](images/triwa.jpg)

#### under-armour

![under-armour](images/under-armour.jpg)

#### vans

![vans](images/vans.jpg)

#### veja

![veja](images/veja.jpg)
{"tags": ["image-classification", "pytorch", "huggingpics"], "metrics": ["accuracy"]}
transformers pytorch tensorboard vit image-classification huggingpics model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #vit #image-classification #huggingpics #model-index #autotrain_compatible #endpoints_compatible #region-us 


# 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 URL

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

!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
# 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 URL

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

!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
TAGS
#transformers #pytorch #tensorboard #vit #image-classification #huggingpics #model-index #autotrain_compatible #endpoints_compatible #region-us 
 # 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 URL

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

!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
passage: TAGS
#transformers #pytorch #tensorboard #vit #image-classification #huggingpics #model-index #autotrain_compatible #endpoints_compatible #region-us 
# 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 URL

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

!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