Human Generated Data

Title

Untitled (bride and groom walking through crowd)
Date

1948
People

Artist: Martin Schweig, American 20th century
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.429.5

Human Generated Data

Title

Untitled (bride and groom walking through crowd)

People

Artist: Martin Schweig, American 20th century

Date

1948

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.429.5

Machine Generated Data

Tags

Amazon
created on 2019-03-25

Apparel 99.6
Clothing 99.6
Person 99
Human 99
Person 99
Person 98.5
Person 97.1
Crowd 95.2
Coat 94.8
Overcoat 93.9
Person 92.9
Audience 92.9
Accessories 91.4
Accessory 91.4
Tie 91.4
Person 90.1
Suit 90.1
Suit 87.1
Tuxedo 86.6
People 80
Skin 76.8
Face 74.9
Jacket 69.4
Tie 64.5
Person 63.9
Military 55.1
Officer 55.1
Military Uniform 55.1

Clarifai
created on 2019-03-25

people 100
group 99.7
group together 99.6
many 99.2
administration 99
leader 98.7
adult 96.6
man 96.2
several 94.4
chair 94.2
five 88.2
portrait 87.7
wear 86.7
four 86.4
outfit 84.8
woman 82.7
audience 81.7
facial expression 81.5
music 79
retro 75.1

Imagga
created on 2019-03-25

man 41.7
male 40.5
people 35.7
kin 35.2
couple 34.8
groom 30.7
happy 30.7
adult 29.5
person 28.5
men 28.3
businessman 27.4
together 25.4
smiling 25.3
group 25
business 23.7
portrait 22
smile 20.7
office 19.9
executive 19.9
love 19.7
suit 19.5
corporate 18.9
sitting 18.9
cheerful 17.9
senior 17.8
happiness 17.2
meeting 17
businessmen 16.6
businesspeople 16.1
team 16.1
handsome 16
family 16
looking 16
home 16
lifestyle 15.9
mother 15.8
professional 15.5
businesswoman 15.4
attractive 15.4
women 15
indoors 14.9
teamwork 14.8
married 14.4
face 14.2
husband 14.2
standing 13.9
spectator 13.5
colleagues 12.6
mature 12.1
relationship 11.2
20s 11
work 11
indoor 11
working 10.6
30s 10.6
fun 10.5
student 10.5
expression 10.2
two 10.2
grandfather 10
grandmother 9.8
old 9.8
room 9.7
success 9.7
child 9.6
adults 9.5
manager 9.3
grandma 9.3
communication 9.2
building 9.1
holding 9.1
dress 9
job 8.8
daughter 8.8
affectionate 8.7
corporation 8.7
mid adult 8.7
table 8.7
boss 8.6
loving 8.6
wife 8.5
father 8.5
black 8.5
confident 8.2
discussing 7.9
businesswomen 7.8
day 7.8
25 30 years 7.8
boy 7.8
discussion 7.8
partner 7.7
affection 7.7
boyfriend 7.7
busy 7.7
girlfriend 7.7
pretty 7.7
four 7.7
elderly 7.7
formal 7.6
marriage 7.6
tie 7.6
enrollee 7.6
desk 7.6
occupation 7.3
lady 7.3
color 7.2
hair 7.1
romantic 7.1
modern 7

Google
created on 2019-03-25

Photograph 96.3
People 95.7
Snapshot 85.6
Photography 67.8
Art 67.7
Event 67
Family 64.9
Picture frame 63.8
Stock photography 59.4
Vintage clothing 57
Black-and-white 56.4
Portrait 51.6

Microsoft
created on 2019-03-25

person 99.7
group 86.2
posing 71.2
old 54
crowd 0.9
retro 0.3
black and white 0.1

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 57-77
Gender Male, 99%
Angry 2.1%
Calm 0.1%
Happy 92.5%
Surprised 1.7%
Sad 0.4%
Disgusted 2.2%
Confused 1.1%

AWS Rekognition

Age 26-43
Gender Female, 99.3%
Sad 1.7%
Disgusted 6.7%
Angry 4.3%
Calm 0.7%
Surprised 3.4%
Confused 2.7%
Happy 80.4%

AWS Rekognition

Age 35-52
Gender Male, 94.4%
Confused 1.9%
Happy 77.9%
Surprised 1.7%
Disgusted 1.5%
Calm 2%
Angry 2.2%
Sad 12.9%

AWS Rekognition

Age 38-59
Gender Female, 54.7%
Calm 45.4%
Disgusted 45.2%
Confused 45.1%
Happy 48.1%
Surprised 45.3%
Angry 45.6%
Sad 50.3%

AWS Rekognition

Age 30-47
Gender Female, 99.5%
Surprised 0.3%
Calm 0.1%
Disgusted 0.6%
Happy 0.6%
Angry 0.7%
Sad 97.5%
Confused 0.3%

AWS Rekognition

Age 57-77
Gender Male, 97.5%
Surprised 1.6%
Angry 3.6%
Disgusted 7.7%
Calm 26.2%
Sad 6%
Confused 4.2%
Happy 50.6%

AWS Rekognition

Age 45-66
Gender Male, 76.6%
Angry 3.4%
Surprised 2.3%
Sad 2%
Calm 19.5%
Confused 1.9%
Happy 10.7%
Disgusted 60.3%

AWS Rekognition

Age 48-68
Gender Female, 50.2%
Happy 45.8%
Disgusted 45.2%
Confused 45.2%
Surprised 45.2%
Calm 45.3%
Sad 53.1%
Angry 45.3%

AWS Rekognition

Age 26-43
Gender Female, 51.3%
Confused 45.2%
Happy 45.4%
Surprised 45.3%
Disgusted 45.6%
Calm 50.6%
Angry 45.9%
Sad 46.9%

AWS Rekognition

Age 26-43
Gender Male, 95.7%
Disgusted 0.5%
Happy 1.1%
Confused 2.2%
Sad 2.2%
Surprised 1%
Calm 91.9%
Angry 1.1%

AWS Rekognition

Age 48-68
Gender Female, 51.1%
Surprised 45.2%
Angry 45.2%
Sad 45.2%
Confused 45.1%
Calm 52.7%
Happy 45.3%
Disgusted 46.5%

AWS Rekognition

Age 35-52
Gender Female, 52.6%
Happy 45.2%
Calm 45%
Angry 45.3%
Disgusted 45%
Confused 45.1%
Surprised 45.1%
Sad 54.2%

AWS Rekognition

Age 35-52
Gender Male, 54%
Happy 46.1%
Disgusted 45.6%
Calm 46.2%
Surprised 45.4%
Confused 45.5%
Angry 45.8%
Sad 50.5%

AWS Rekognition

Age 35-52
Gender Female, 53.6%
Happy 45.4%
Confused 45.1%
Disgusted 45.1%
Angry 45.2%
Calm 45.2%
Surprised 45.1%
Sad 53.8%

AWS Rekognition

Age 48-68
Gender Female, 51.1%
Disgusted 46%
Surprised 45.3%
Sad 48.6%
Confused 45.5%
Angry 45.7%
Happy 45.3%
Calm 48.6%

AWS Rekognition

Age 26-43
Gender Male, 86.9%
Happy 0.1%
Calm 98.1%
Sad 0.7%
Angry 0.4%
Confused 0.2%
Surprised 0.3%
Disgusted 0.2%

AWS Rekognition

Age 60-90
Gender Female, 50.2%
Sad 47.2%
Calm 46.8%
Happy 45.1%
Surprised 45.5%
Angry 49.9%
Disgusted 45.2%
Confused 45.3%

AWS Rekognition

Age 11-18
Gender Female, 52%
Angry 45.3%
Happy 46.1%
Sad 45.4%
Confused 45.6%
Disgusted 45.4%
Calm 49.5%
Surprised 47.7%

AWS Rekognition

Age 26-43
Gender Male, 52.8%
Calm 49.9%
Disgusted 45.3%
Sad 47.1%
Confused 45.4%
Happy 46.3%
Surprised 45.3%
Angry 45.7%

AWS Rekognition

Age 20-38
Gender Male, 53.6%
Angry 45.4%
Disgusted 45%
Sad 49.4%
Surprised 45.1%
Happy 45%
Calm 49.9%
Confused 45.2%

Microsoft Cognitive Services

Age 42
Gender Female

Microsoft Cognitive Services

Age 44
Gender Male

Microsoft Cognitive Services

Age 54
Gender Male

Microsoft Cognitive Services

Age 63
Gender Male

Microsoft Cognitive Services

Age 35
Gender Male

Microsoft Cognitive Services

Age 30
Gender Female

Microsoft Cognitive Services

Age 22
Gender Female

Microsoft Cognitive Services

Age 33
Gender Female

Microsoft Cognitive Services

Age 67
Gender Male

Microsoft Cognitive Services

Age 58
Gender Male

Microsoft Cognitive Services

Age 28
Gender Male

Microsoft Cognitive Services

Age 50
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 likely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

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

Feature analysis

Amazon

Person 99%
Tie 91.4%
Suit 90.1%

Categories

Imagga

people portraits 84.6%
paintings art 14.1%