Human Generated Data

Title

Untitled (wedding group portrait, Brookline, Massachusetts)
Date

1946, printed later
People

Artist: Samuel Cooper, American active 1950s
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.956

Human Generated Data

Title

Untitled (wedding group portrait, Brookline, Massachusetts)

People

Artist: Samuel Cooper, American active 1950s

Date

1946, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.956

Machine Generated Data

Tags

Amazon
created on 2021-12-14

Person 99.2
Human 99.2
Person 98.9
Person 98.7
People 98.2
Family 97.3
Person 97.3
Person 97
Person 96.8
Clothing 96.4
Apparel 96.4
Person 96.4
Person 95.6
Person 95.3
Person 95.3
Person 94.8
Person 93.8
Person 92.1
Person 91.5
Person 86.8
Person 84.4
Suit 79.2
Coat 79.2
Overcoat 79.2
Suit 69.7
Female 65.5
Gown 62.8
Fashion 62.8
Suit 62.4
Robe 60.4
Crowd 57.6
Wedding 55.3
Person 49.6

Clarifai
created on 2023-10-15

group 100
people 99.9
group together 99.7
many 97.8
adult 97.7
several 97.1
woman 96.8
man 96.7
wedding 95.7
four 95.6
music 95.1
actress 94.8
portrait 94.7
actor 94.4
leader 94.2
five 93.6
facial expression 92.5
musician 90.2
singer 89.2
offspring 85.4

Imagga
created on 2021-12-14

nurse 40.5
adult 35.2
dress 32.5
people 32.3
person 31.4
couple 29.6
bride 27.1
fashion 25.6
groom 25.6
portrait 24.6
happiness 23.5
wedding 23
man 22.2
pretty 21.7
happy 21.3
attractive 21
love 20.5
elegance 19.3
male 19.1
sexy 18.5
marriage 18
kin 17.8
style 17.8
two 17.8
attendant 17.6
together 17.5
bouquet 17
brunette 16.6
holding 16.5
black 16.4
singer 16.1
women 15.8
elegant 15.4
cute 15.1
smile 15
smiling 14.5
celebration 14.4
posing 14.2
face 14.2
model 14
performer 13.9
musician 13.9
party 13.8
studio 13.7
engagement 13.5
married 13.4
hair 12.7
bridal 12.6
ceremony 12.6
lady 12.2
sitting 12
gorgeous 11.8
suit 11.7
lifestyle 11.6
family 11.6
husband 11.5
professional 11.5
flowers 11.3
event 11.1
modern 10.5
group 10.5
fun 10.5
wife 10.4
business 10.3
clothing 10.2
sensuality 10
stylish 9.9
romance 9.8
romantic 9.8
cheerful 9.8
human 9.7
youth 9.4
rose 9.4
mother 9.2
businesswoman 9.1
entertainer 9
outfit 8.9
businessman 8.8
child 8.7
men 8.6
flower 8.5
clothes 8.4
feminine 8.4
girls 8.2
pose 8.2
success 8
office 8
handsome 8
looking 8
home 8
veil 7.8
color 7.8
hand 7.6
passion 7.5
glasses 7.4
makeup 7.3
team 7.2
life 7.2
lovely 7.1
night 7.1
to 7.1
golfer 7

Google
created on 2021-12-14

Hairstyle 95.1
Photograph 94.2
Coat 90.9
Dress 90.7
Black 89.8
Flash photography 86.9
Suit 86.2
Style 83.9
Happy 83.7
Wedding dress 82.2
Formal wear 78.6
Monochrome 76.4
Smile 75.2
Event 75.2
Snapshot 74.3
Monochrome photography 74
Classic 73.9
Vintage clothing 73.4
Bride 69
Bridal clothing 66.7

Microsoft
created on 2021-12-14

posing 100
person 99.3
wall 98.8
wedding dress 97.3
group 96.9
dress 96.3
bride 96.2
clothing 94
smile 93.6
suit 93.5
woman 92
text 90.2
wedding 87.1
man 84.2
people 84
standing 84
clothes 19.8
crowd 0.6

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 22-34
Gender Female, 92.9%
Calm 98.6%
Sad 0.5%
Happy 0.3%
Angry 0.3%
Surprised 0.1%
Confused 0.1%
Disgusted 0.1%
Fear 0%

AWS Rekognition

Age 33-49
Gender Male, 98.8%
Happy 99.4%
Surprised 0.3%
Angry 0.1%
Calm 0.1%
Confused 0.1%
Fear 0.1%
Disgusted 0%
Sad 0%

AWS Rekognition

Age 25-39
Gender Male, 99.7%
Angry 29.9%
Happy 25.2%
Calm 22.2%
Surprised 11.4%
Fear 4.1%
Sad 3.1%
Disgusted 2.6%
Confused 1.5%

AWS Rekognition

Age 31-47
Gender Female, 99.6%
Happy 98.6%
Surprised 0.5%
Fear 0.2%
Angry 0.2%
Disgusted 0.2%
Confused 0.2%
Calm 0.2%
Sad 0.1%

AWS Rekognition

Age 3-11
Gender Female, 83.9%
Calm 89.8%
Angry 5.7%
Sad 2.5%
Surprised 1.1%
Confused 0.5%
Happy 0.2%
Fear 0.2%
Disgusted 0.1%

AWS Rekognition

Age 22-34
Gender Male, 92.3%
Calm 72%
Happy 15.6%
Sad 7.3%
Angry 1.3%
Surprised 1.1%
Disgusted 1%
Confused 0.9%
Fear 0.9%

AWS Rekognition

Age 33-49
Gender Male, 99.7%
Surprised 65.1%
Calm 27.5%
Fear 2.6%
Confused 1.7%
Happy 1.2%
Angry 0.8%
Sad 0.5%
Disgusted 0.5%

AWS Rekognition

Age 51-69
Gender Female, 97.4%
Happy 70.6%
Calm 25.3%
Sad 1.3%
Surprised 1%
Confused 0.6%
Angry 0.5%
Disgusted 0.4%
Fear 0.4%

AWS Rekognition

Age 19-31
Gender Female, 99.7%
Happy 99%
Surprised 0.3%
Disgusted 0.2%
Confused 0.2%
Angry 0.2%
Fear 0.1%
Calm 0.1%
Sad 0%

AWS Rekognition

Age 22-34
Gender Male, 97.4%
Happy 64%
Calm 32.7%
Angry 1.2%
Disgusted 0.5%
Sad 0.5%
Confused 0.4%
Surprised 0.4%
Fear 0.3%

AWS Rekognition

Age 5-15
Gender Male, 90.4%
Calm 66.9%
Happy 17.3%
Sad 8.9%
Fear 2.6%
Surprised 1.4%
Angry 1.3%
Confused 1.3%
Disgusted 0.2%

AWS Rekognition

Age 44-62
Gender Female, 86.1%
Calm 65.2%
Confused 17.1%
Surprised 5.9%
Angry 3.2%
Sad 2.4%
Disgusted 2.4%
Happy 2%
Fear 1.6%

AWS Rekognition

Age 40-58
Gender Male, 99.2%
Happy 97%
Calm 1.2%
Disgusted 0.7%
Surprised 0.4%
Confused 0.2%
Angry 0.2%
Sad 0.1%
Fear 0.1%

AWS Rekognition

Age 1-7
Gender Female, 94.8%
Calm 94%
Sad 2.4%
Angry 0.8%
Confused 0.8%
Fear 0.7%
Surprised 0.6%
Happy 0.4%
Disgusted 0.2%

AWS Rekognition

Age 16-28
Gender Female, 95.3%
Calm 88.1%
Happy 5.5%
Surprised 1.7%
Sad 1.6%
Angry 0.9%
Confused 0.8%
Fear 0.7%
Disgusted 0.6%

AWS Rekognition

Age 17-29
Gender Female, 98.8%
Calm 59.5%
Happy 17.2%
Sad 5.7%
Angry 5.4%
Confused 5.1%
Fear 2.9%
Disgusted 2.5%
Surprised 1.8%

AWS Rekognition

Age 26-40
Gender Male, 77.2%
Calm 84.9%
Sad 8.7%
Happy 2.6%
Angry 1.3%
Disgusted 0.9%
Confused 0.7%
Surprised 0.6%
Fear 0.3%

AWS Rekognition

Age 14-26
Gender Female, 92.5%
Calm 74.7%
Sad 24.4%
Angry 0.3%
Happy 0.3%
Disgusted 0.2%
Surprised 0.1%
Confused 0.1%
Fear 0%

Microsoft Cognitive Services

Age 44
Gender Male

Microsoft Cognitive Services

Age 53
Gender Male

Microsoft Cognitive Services

Age 31
Gender Male

Microsoft Cognitive Services

Age 44
Gender Female

Microsoft Cognitive Services

Age 6
Gender Female

Microsoft Cognitive Services

Age 27
Gender Female

Microsoft Cognitive Services

Age 9
Gender Male

Microsoft Cognitive Services

Age 71
Gender Female

Microsoft Cognitive Services

Age 45
Gender Male

Microsoft Cognitive Services

Age 6
Gender Male

Microsoft Cognitive Services

Age 30
Gender Female

Microsoft Cognitive Services

Age 52
Gender Female

Microsoft Cognitive Services

Age 30
Gender Female

Microsoft Cognitive Services

Age 32
Gender Female

Microsoft Cognitive Services

Age 44
Gender Male

Microsoft Cognitive Services

Age 35
Gender Male

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 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

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very likely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very likely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy 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

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 likely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very likely
Headwear Likely
Blurred Very unlikely

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 Likely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Likely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Unlikely

Feature analysis

Amazon

Person 99.2%
Suit 79.2%

Categories

Imagga

people portraits 99%

Text analysis

Amazon

7090
P82
71

Google

P82 709
P82
709