Machine Generated Data
Tags
Amazon
created on 2023-10-25
Person | 99.2 | |
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Accessories | 94.6 | |
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Bag | 94.6 | |
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Clothing | 89.4 | |
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Corset | 89.4 | |
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Dressing Room | 88.6 | |
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Indoors | 88.6 | |
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Room | 88.6 | |
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Person | 85.7 | |
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Adult | 85.7 | |
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Bride | 85.7 | |
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Female | 85.7 | |
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Wedding | 85.7 | |
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Woman | 85.7 | |
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Person | 80.1 | |
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Adult | 80.1 | |
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Female | 80.1 | |
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Woman | 80.1 | |
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Face | 74.7 | |
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Head | 74.7 | |
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Handbag | 73 | |
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Handbag | 60.7 | |
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Handbag | 60.3 | |
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Shop | 57.7 | |
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Dress | 55.3 | |
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Blouse | 55.3 | |
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Clarifai
created on 2023-10-15
Imagga
created on 2019-02-01
glass | 26.9 | |
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drink | 21.7 | |
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container | 19.7 | |
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bottle | 19.6 | |
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vessel | 16.2 | |
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liquid | 14.9 | |
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water | 14.7 | |
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party | 13.7 | |
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refrigerator | 13.6 | |
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person | 13.1 | |
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alcohol | 13.1 | |
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wedding | 12.9 | |
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people | 12.8 | |
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medical | 12.4 | |
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medicine | 12.3 | |
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home appliance | 11.5 | |
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glasses | 11.1 | |
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white goods | 11 | |
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water jug | 10.8 | |
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light | 10.7 | |
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celebration | 10.4 | |
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beverage | 10 | |
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ceremony | 9.7 | |
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jug | 9.6 | |
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cold | 9.5 | |
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men | 9.4 | |
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groom | 9.3 | |
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male | 9.2 | |
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fashion | 9 | |
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gold | 9 | |
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worker | 9 | |
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happy | 8.8 | |
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laboratory | 8.7 | |
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bride | 8.6 | |
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research | 8.6 | |
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clothing | 8.3 | |
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beaker | 8.3 | |
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food | 8 | |
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romantic | 8 | |
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science | 8 | |
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appliance | 8 | |
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love | 7.9 | |
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holiday | 7.9 | |
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adult | 7.9 | |
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equipment | 7.8 | |
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portrait | 7.8 | |
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crystal | 7.7 | |
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old | 7.7 | |
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ice | 7.6 | |
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room | 7.6 | |
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biology | 7.6 | |
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wine | 7.6 | |
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close | 7.4 | |
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waiter | 7.3 | |
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cute | 7.2 | |
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device | 7.1 | |
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champagne | 7.1 | |
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interior | 7.1 | |
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life | 7 | |
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Google
created on 2019-02-01
White | 96.5 | |
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Photograph | 96.3 | |
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Black | 95.1 | |
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Black-and-white | 87.2 | |
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Snapshot | 85.8 | |
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Photography | 70.6 | |
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Monochrome photography | 69.6 | |
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Room | 65.7 | |
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Monochrome | 64.3 | |
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Window | 61 | |
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Square | 53 | |
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Style | 52.5 | |
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Display window | 50.5 | |
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Microsoft
created on 2019-02-01
television | 6.6 | |
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show | 3.8 | |
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person | 3.7 | |
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fashion | 3.7 | |
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black and white | 3.3 | |
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retro | 3.2 | |
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window | 3 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 18-24 |
Gender | Female, 92% |
Calm | 99.9% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Happy | 0.1% |
Confused | 0% |
Disgusted | 0% |
Angry | 0% |
Feature analysis
Categories
Imagga
paintings art | 73.4% | |
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interior objects | 24.5% | |
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food drinks | 1.7% | |
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Captions
Microsoft
created on 2019-02-01
a person standing in front of a window | 32.3% | |
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a person standing in front of a window | 32.2% | |
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a person standing next to a window | 25.2% | |
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Text analysis
Amazon

-

Biegel

tota -

- - -

Marir Biegel -

tota

Marir

adidas

AUS -

Zontos

AUS

100