Machine Generated Data
Tags
Amazon
created on 2022-01-22
Clothing | 100 | |
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Apparel | 100 | |
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Human | 98.3 | |
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Person | 97.2 | |
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Robe | 96.7 | |
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Fashion | 96.7 | |
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Gown | 96.2 | |
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Wedding | 92.9 | |
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Bride | 88.1 | |
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Wedding Gown | 88.1 | |
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Person | 87.3 | |
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Painting | 84.5 | |
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Art | 84.5 | |
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Tie | 76.4 | |
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Accessories | 76.4 | |
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Accessory | 76.4 | |
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Evening Dress | 72.2 | |
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Female | 72.2 | |
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Flower | 63.9 | |
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Blossom | 63.9 | |
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Plant | 63.9 | |
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Woman | 63.5 | |
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Flower Arrangement | 60.9 | |
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Veil | 60.7 | |
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Long Sleeve | 56.9 | |
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Sleeve | 56.9 | |
|
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-22
groom | 43.5 | |
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statue | 41.1 | |
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dress | 27.1 | |
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religion | 21.5 | |
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sculpture | 21.2 | |
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bride | 20.3 | |
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dinner dress | 20.1 | |
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old | 18.8 | |
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architecture | 18.7 | |
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monument | 18.7 | |
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church | 18.5 | |
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wedding | 18.4 | |
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stone | 15.7 | |
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marble | 15.6 | |
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love | 15 | |
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art | 14.5 | |
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face | 14.2 | |
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people | 13.9 | |
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couple | 13.9 | |
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person | 13.8 | |
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bouquet | 13.2 | |
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veil | 12.7 | |
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catholic | 12.6 | |
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landmark | 12.6 | |
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god | 12.4 | |
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famous | 12.1 | |
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fashion | 12.1 | |
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gown | 12 | |
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celebration | 12 | |
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historic | 11.9 | |
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building | 11.9 | |
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swab | 11.7 | |
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married | 11.5 | |
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ancient | 11.2 | |
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boutique | 11.1 | |
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culture | 11.1 | |
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portrait | 11 | |
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column | 10.8 | |
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park | 10.7 | |
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bridal | 10.7 | |
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holy | 10.6 | |
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city | 10 | |
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cleaning implement | 9.9 | |
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history | 9.8 | |
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romantic | 9.8 | |
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afghan hound | 9.8 | |
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detail | 9.6 | |
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saint | 9.6 | |
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faith | 9.6 | |
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antique | 9.5 | |
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hair | 9.5 | |
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happiness | 9.4 | |
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clothing | 9.4 | |
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traditional | 9.1 | |
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fountain | 9.1 | |
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adult | 9.1 | |
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tourism | 9.1 | |
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costume | 9 | |
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wed | 8.8 | |
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decoration | 8.8 | |
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man | 8.7 | |
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ceremony | 8.7 | |
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wife | 8.5 | |
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two | 8.5 | |
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religious | 8.4 | |
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style | 8.2 | |
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lady | 8.1 | |
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flowers | 7.8 | |
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sacred | 7.8 | |
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hound | 7.8 | |
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husband | 7.8 | |
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flower | 7.7 | |
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spiritual | 7.7 | |
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marriage | 7.6 | |
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head | 7.6 | |
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cross | 7.5 | |
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happy | 7.5 | |
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closeup | 7.4 | |
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pedestal | 7.3 | |
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new | 7.3 | |
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figure | 7.3 | |
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tourist | 7.2 | |
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smile | 7.1 | |
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travel | 7 | |
|
Google
created on 2022-01-22
Wedding dress | 95.8 | |
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Picture frame | 94.9 | |
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Dress | 93 | |
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Bride | 90.9 | |
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Bridal veil | 90.4 | |
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Bridal clothing | 88.9 | |
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Gown | 86.6 | |
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Bridal party dress | 86.4 | |
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Flash photography | 84.8 | |
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Happy | 82.2 | |
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Suit | 81.9 | |
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Fashion design | 78.4 | |
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Bridal accessory | 78.2 | |
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Formal wear | 77.6 | |
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Veil | 76.7 | |
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Classic | 76.6 | |
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Victorian fashion | 75.4 | |
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Vintage clothing | 74.8 | |
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Snapshot | 74.3 | |
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Event | 73.6 | |
|
Microsoft
created on 2022-01-22
wedding dress | 99.8 | |
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bride | 99.5 | |
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text | 99.1 | |
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dress | 98 | |
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wedding | 95.7 | |
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indoor | 93.6 | |
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woman | 68.1 | |
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gown | 66.1 | |
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bridal clothing | 53.7 | |
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bridal party dress | 52.3 | |
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clothes | 18.2 | |
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shop | 9.4 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 31-41 |
Gender | Male, 98.5% |
Calm | 99.4% |
Confused | 0.2% |
Angry | 0.1% |
Happy | 0.1% |
Sad | 0.1% |
Surprised | 0.1% |
Disgusted | 0% |
Fear | 0% |

AWS Rekognition
Age | 24-34 |
Gender | Female, 100% |
Calm | 96.5% |
Surprised | 1.2% |
Sad | 0.5% |
Fear | 0.5% |
Angry | 0.4% |
Happy | 0.4% |
Confused | 0.3% |
Disgusted | 0.2% |

AWS Rekognition
Age | 19-27 |
Gender | Female, 96.6% |
Fear | 72.1% |
Sad | 23.3% |
Surprised | 1.6% |
Angry | 0.8% |
Calm | 0.8% |
Happy | 0.7% |
Confused | 0.4% |
Disgusted | 0.4% |

Microsoft Cognitive Services
Age | 33 |
Gender | Male |

Microsoft Cognitive Services
Age | 26 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
streetview architecture | 76.5% | |
| ||
interior objects | 13.8% | |
| ||
paintings art | 8.1% | |
|
Captions
Microsoft
created on 2022-01-22
a person standing in front of a window | 81% | |
| ||
a person standing in front of a store window | 75.7% | |
| ||
a group of people standing in front of a window | 69.6% | |
|
Text analysis
Amazon

will

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SAINT LOUIS

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MARTIN

MARTIN SCHWEIG

SCHWEIG

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flowers

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These electics light reflections will

cut will

These

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taker

Dan

Yad here

Darker

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rest

hese elctius light reflectius will
Juken
PROOF
MARTIN SCHWEIG
SAINT LOUIS
Cuf veif

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light

reflectius

will

Juken

PROOF

MARTIN

SCHWEIG

SAINT

LOUIS

Cuf

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