Human Generated Data

Title

Untitled (three photographs: two brides in matching dresses - posing with grooms at reception; toasting with grooms at reception table; posed with grooms and wedding parties in reception hall)

Date

1949, printed later

People

Artist: Martin Schweig, American 20th century

Classification

Photographs

Human Generated Data

Title

Untitled (three photographs: two brides in matching dresses - posing with grooms at reception; toasting with grooms at reception table; posed with grooms and wedding parties in reception hall)

People

Artist: Martin Schweig, American 20th century

Date

1949, printed later

Classification

Photographs

Machine Generated Data

Tags

Amazon

Clothing 99.7
Apparel 99.7
Interior Design 99.3
Indoors 99.3
Person 99.1
Human 99.1
Person 96.9
Person 96.5
Person 96.4
Person 95.4
Person 94.7
Person 94
Stage 93.4
Person 90.6
Person 90.5
Fashion 90.2
Robe 90.2
Gown 89.5
Person 89.3
Coat 88.2
Suit 88.2
Overcoat 88.2
Evening Dress 86.1
Person 85.5
Person 82.8
Person 80.8
Person 78.7
Advertisement 75.9
Person 74.8
Person 73.2
Room 73.1
Person 71.8
Wedding 71.2
Female 71.2
Person 67.1
Theater 66.1
Wedding Gown 64.3
Poster 61.7
Collage 61.7
Person 61.5
Performer 61.2
Person 60.7
Woman 59.8
Electronics 59.1
Screen 59.1
Sleeve 58.8
Dress 57.9
Person 50.2
Person 47.5
Person 44.4

Clarifai

people 99.9
group 98.9
adult 98.5
many 97.3
wear 96.7
woman 95.8
man 95.4
room 94.9
group together 93.6
furniture 93.3
movie 92.5
one 89.5
actress 87.9
indoors 87.6
outfit 86.8
child 86.6
two 86
several 84
recreation 79.4
music 77.9

Imagga

groom 55.9
people 28.4
person 27.5
dress 22.6
sexy 21.7
bride 20.1
man 19.5
black 18.4
male 17.7
wedding 16.6
silhouette 15.7
boutique 15
couple 14.8
flag 14.3
hair 14.3
love 14.2
happiness 14.1
president 13.7
design 13.6
adult 13.4
businessman 13.2
lights 13
fashion 12.8
nighttime 12.7
dark 12.5
crowd 12.5
nation 12.3
bouquet 12.3
symbol 12.1
teamwork 12.1
happy 11.9
supporters 11.9
cheering 11.8
speech 11.7
audience 11.7
stadium 11.7
team 11.6
leader 11.6
business 11.5
patriotic 11.5
job 11.5
boss 11.5
presentation 11.2
icon 11.1
occupation 11
businesswoman 10.9
vibrant 10.5
attractive 10.5
portrait 10.4
vivid 10.2
work 10.2
light 10
bright 10
fun 9.7
bridal 9.7
style 9.6
wall 9.6
lady 8.9
night 8.9
art 8.9
veil 8.8
ceremony 8.7
flowers 8.7
married 8.6
marriage 8.5
wife 8.5
face 8.5
sensual 8.2
celebration 8
holiday 7.9
clothing 7.9
smile 7.8
husband 7.8
room 7.8
model 7.8
summer 7.7
pretty 7.7
two 7.6
church 7.4
life 7.4
blond 7.4
street 7.4
coat hanger 7.3
women 7.1

Microsoft

wedding dress 98.7
bride 96.5
indoor 93.7
dress 92.4
text 88.6
person 83.8
dance 83.7
woman 76.8
clothing 76.6
black and white 67.3
black 65.5
wedding 62.1
room 56

Face analysis

Amazon

AWS Rekognition

Age 21-33
Gender Male, 54.6%
Fear 45.5%
Disgusted 45.5%
Calm 50.6%
Happy 45.5%
Surprised 46.3%
Angry 45.4%
Sad 45.4%
Confused 45.7%

AWS Rekognition

Age 26-42
Gender Female, 54.8%
Surprised 45%
Fear 45%
Angry 45%
Disgusted 45%
Sad 45%
Calm 45.1%
Happy 54.8%
Confused 45%

AWS Rekognition

Age 24-38
Gender Male, 52.7%
Fear 45.5%
Angry 45.6%
Happy 45.3%
Disgusted 45.7%
Confused 46.2%
Calm 47.9%
Sad 45.2%
Surprised 48.6%

AWS Rekognition

Age 26-42
Gender Male, 53.6%
Fear 45.5%
Confused 45.4%
Happy 45.3%
Calm 48.6%
Surprised 45.2%
Sad 49.4%
Angry 45.5%
Disgusted 45.2%

AWS Rekognition

Age 21-33
Gender Male, 54.8%
Calm 45.2%
Surprised 45.2%
Sad 45.2%
Happy 53.2%
Fear 45.2%
Disgusted 45.5%
Angry 45.4%
Confused 45.2%

AWS Rekognition

Age 22-34
Gender Female, 54.1%
Disgusted 45%
Angry 45.1%
Confused 45.1%
Sad 45.4%
Calm 45.4%
Happy 53.6%
Fear 45.1%
Surprised 45.3%

AWS Rekognition

Age 32-48
Gender Female, 54.8%
Disgusted 45%
Sad 53.1%
Confused 45.1%
Happy 45%
Fear 45%
Surprised 45%
Calm 46.6%
Angry 45.1%

AWS Rekognition

Age 6-16
Gender Female, 50.7%
Happy 46%
Disgusted 48.6%
Calm 46.2%
Sad 48.7%
Surprised 45.1%
Confused 45.2%
Fear 45.1%
Angry 45.2%

AWS Rekognition

Age 23-35
Gender Female, 50.1%
Angry 49.5%
Sad 50.4%
Happy 49.5%
Disgusted 49.5%
Calm 49.5%
Confused 49.5%
Surprised 49.5%
Fear 49.5%

AWS Rekognition

Age 26-42
Gender Female, 53.9%
Sad 45.4%
Fear 45.4%
Angry 45.6%
Surprised 45.6%
Calm 46.5%
Disgusted 45.2%
Confused 46.1%
Happy 50.3%

AWS Rekognition

Age 26-40
Gender Male, 50.4%
Angry 49.5%
Fear 49.5%
Calm 49.6%
Sad 50.3%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 42-60
Gender Male, 50%
Disgusted 49.5%
Confused 49.5%
Sad 50.5%
Calm 49.5%
Angry 49.5%
Fear 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 18-30
Gender Male, 50.5%
Surprised 49.5%
Angry 50.1%
Sad 49.5%
Fear 49.6%
Disgusted 49.5%
Happy 49.5%
Calm 49.7%
Confused 49.5%

AWS Rekognition

Age 16-28
Gender Female, 50.2%
Calm 49.6%
Disgusted 49.5%
Surprised 49.5%
Fear 50.3%
Happy 49.5%
Angry 49.5%
Confused 49.5%
Sad 49.5%

AWS Rekognition

Age 23-35
Gender Male, 50.4%
Sad 49.7%
Angry 49.7%
Happy 49.5%
Calm 49.9%
Fear 49.5%
Disgusted 49.5%
Confused 49.6%
Surprised 49.5%

AWS Rekognition

Age 29-45
Gender Male, 50.2%
Sad 50%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Angry 49.5%
Calm 49.5%
Happy 49.5%
Fear 50%

AWS Rekognition

Age 13-23
Gender Female, 50%
Sad 49.5%
Disgusted 50.1%
Fear 49.5%
Angry 49.8%
Happy 49.5%
Surprised 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 42-60
Gender Male, 50.4%
Disgusted 49.5%
Calm 49.5%
Angry 49.6%
Confused 49.5%
Fear 49.6%
Sad 50.1%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 40-58
Gender Female, 50.1%
Disgusted 49.5%
Confused 49.5%
Fear 49.7%
Calm 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.5%
Sad 50.2%

AWS Rekognition

Age 18-30
Gender Male, 50.4%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Angry 49.5%
Fear 49.9%
Sad 49.6%
Calm 49.6%
Surprised 49.8%

AWS Rekognition

Age 4-14
Gender Male, 50.4%
Fear 49.5%
Calm 49.6%
Disgusted 49.5%
Angry 49.7%
Surprised 49.5%
Happy 49.5%
Sad 50.2%
Confused 49.5%

AWS Rekognition

Age 17-29
Gender Male, 50.3%
Calm 49.6%
Surprised 49.5%
Angry 49.6%
Confused 49.5%
Happy 49.5%
Fear 49.5%
Sad 50.2%
Disgusted 49.5%

AWS Rekognition

Age 22-34
Gender Male, 50.3%
Fear 49.6%
Calm 49.7%
Surprised 49.5%
Confused 49.7%
Disgusted 49.5%
Happy 49.5%
Sad 50%
Angry 49.5%

AWS Rekognition

Age 25-39
Gender Male, 50.4%
Surprised 49.5%
Sad 50%
Fear 49.7%
Angry 49.5%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.7%

AWS Rekognition

Age 30-46
Gender Male, 50.5%
Surprised 49.6%
Calm 49.7%
Happy 49.5%
Angry 49.5%
Fear 49.6%
Sad 49.8%
Confused 49.7%
Disgusted 49.5%

AWS Rekognition

Age 18-30
Gender Male, 50%
Calm 49.5%
Sad 49.6%
Happy 49.5%
Angry 49.5%
Fear 50.4%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 8-18
Gender Male, 50.2%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%
Calm 49.5%
Surprised 49.5%
Fear 50.4%
Confused 49.5%
Sad 49.6%

AWS Rekognition

Age 14-26
Gender Female, 50%
Angry 49.6%
Fear 49.7%
Confused 49.5%
Surprised 49.7%
Calm 49.6%
Disgusted 49.6%
Sad 49.7%
Happy 49.6%

AWS Rekognition

Age 20-32
Gender Female, 50%
Surprised 49.5%
Confused 49.5%
Sad 50.1%
Disgusted 49.6%
Angry 49.7%
Calm 49.6%
Fear 49.5%
Happy 49.5%

AWS Rekognition

Age 15-27
Gender Female, 50%
Disgusted 49.5%
Confused 49.5%
Angry 49.6%
Sad 50.3%
Happy 49.6%
Surprised 49.5%
Calm 49.5%
Fear 49.5%

Feature analysis

Amazon

Person 99.1%
Suit 88.2%

Captions

Microsoft

a group of people in a room 89.1%
a group of people standing in a room 87.6%
a black and white photo of a person 69.1%

Text analysis

Amazon

saaeesaecnsa
e
LI

Google

అత
అత