Compare Image recognition API: Google, Microsoft, IBM and CliqOrange

Compare Image recognition API: Google, Microsoft, IBM and CliqOrange

This test is about tagging travel images. Hotels, pools, restaurants, out door sports, riverside walks, etc, etc... Everything that has to do with traveling.

First of all thanks to Goberoi Blog for using his python code to do the comparison of the Microsoft, Google, IBM, Clarifai and Cliqorange image recognition API.

I don’t want to hold you up if you want to go straight to the results. To get insight in this comparison of Image Recognition API’s you need to know the outline.

  1. This test is about travel images in the widest sense.
  2. We could not compare the “aesthetic score” as we are the only one offering this.
  3. The dataset used contains hotel related images and travel activity images. This covers all images that you will find on sites like Booking.com, Kayak, Airbnb and Expedia.

Go to API comparison.

The general tags are all well trained by Google, Microsoft and all the other big companies. But specific travel “experiences” tagging is another cup of thea.

Together with the University of Amsterdam we have created an API to find specific travel tags so you can create finger licking landing pages!

We have a “general model” that finds 2000 tags and we have an “activities and experiences” model that can find around 120 tags. Check out our demo site Yellowroom.ai  to see how to create the landing pages.

For the “activities and experiences” model we took the “activities as defined by Booking.com  you will find a list of all here below. Check out all our labels here.

Rooftop Bar

Rooftop Pool

Spacious Room

Room with city view

Room with sea view

Dinner on the beach

Room with jungle view

Beach bungalow

Tropical beach

Romance 42

Pink rooms

Children Rooms

People watching

Fine Dining

Outdoor activities

Cafés

Modern art

Museums

Art galleries

Rainforests

Surfing

Hiking

Tourist attractions

Luxury brand shopping

Riverside walks

Fish markets

Paragliding

Deserts

Mountaineering

Nature walks

Camping

Climbing

Promenades

Running

Street musicians

Sushi

Dim sum

Sailing

Sunny weather

indoor pool

outdoor activity

togetherness

Swimming pools

Golf

Art

Markets

Theme parks

Beautiful forests

Beach walks

Football

Street food

Sunbathing

Yoga

City walks

Chinatown

Nightlife

Horse riding

Monuments

Shopping

Lakes

Harbours

Mountain biking

Romance

Destination weddings

Water Sports

Bars

Fine art museums

Islands

Beaches for kids

Kayaking

Mountain walks

Country walks

Mexican food

Churches

Hot Springs

Parks

Pubs

Street markets

Restaurants

Snorkelling

Volcanoes

Walking with pets

Glacier tours

Motorcycling

Skylines

Temples

Waterfalls

Kitesurfing

Ancient landmarks

abseiling

blue sky

caving

cloudy sky

couple

drinking wine

elephant

elephant riding

extreme sports

family with children

getting a face mask

gondola tour

gym

Hold hands

indoors

interior design

Kiteboarding >change name in kitesurfing

massage

older couple

outdoor pool

outdoors

party

picnic

pool party

rafting

romantic room

rose leaves on the bed

Spa and relaxation

swimming

trekking

vacation activity

ziplining

 

So In theory you can create landing pages of every tag posted above here. Check out our demo site Yellowroom to see an example.

Check the test and let us know what you think. All comments are appreciated.

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Olya Stalskaya
Olya Stalskaya

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