Human Generated Data

Title

Untitled (family portrait)
Date

1970s
People

Artist: Ken Whitmire Associates, American

Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.1364

Human Generated Data

Title

Untitled (family portrait)

People

Artist: Ken Whitmire Associates, American

Date

1970s

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.1364

Machine Generated Data

Tags

Amazon
created on 2023-10-23

People 100
Photography 100
Face 100
Head 100
Portrait 100
Blazer 100
Clothing 100
Coat 100
Jacket 100
Formal Wear 100
Pants 99.9
Groupshot 99.2
Person 98.9
Female 98.9
Girl 98.9
Teen 98.9
Person 98.7
Boy 98.7
Child 98.7
Male 98.7
Person 98.3
Suit 98.2
Person 98.2
Person 98.1
Female 98.1
Adult 98.1
Bride 98.1
Wedding 98.1
Woman 98.1
Person 98
Person 97.8
Boy 97.8
Child 97.8
Male 97.8
Person 97.6
Male 97.6
Adult 97.6
Man 97.6
Person 97.5
Person 97.4
Boy 97.4
Child 97.4
Male 97.4
Person 97.3
Blouse 97
Person 96.4
Person 96.4
Suit 96.1
Person 95.8
Male 95.8
Adult 95.8
Man 95.8
Suit 94.6
Person 94.3
Person 92.9
Male 92.9
Adult 92.9
Man 92.9
Dress 92.1
Accessories 91.9
Tie 91.9
Couch 91.8
Furniture 91.8
Person 89
Shirt 81.4
Indoors 81.1
Footwear 79.3
Shoe 79.3
Shoe 77.1
Shoe 76.8
Skirt 76.8
Architecture 71.7
Building 71.7
Living Room 71.7
Room 71.7
Shoe 71.1
Shoe 68.5
Shoe 65.8
Table 64.7
Shoe 61.4
Team 57.8
Classroom 57.2
School 57.2
Tuxedo 57.1
Jeans 56.8
Shoe 56.3
Chair 56.2
Jewelry 55.6
Necklace 55.6

Clarifai
created on 2018-02-09

group 99.6
people 99.2
portrait 98.8
adult 97.7
woman 96.5
leader 96.4
group together 96.2
wear 95.4
many 95.2
man 94.7
child 94.4
facial expression 94.4
singer 93.1
musician 92.1
performance 91.8
five 91.3
outfit 90.6
several 89.7
recreation 88.5
family 86.8

Imagga
created on 2018-02-09

golfer 55.2
person 52.5
man 45
player 43.6
businessman 42.4
group 39.5
people 38.5
business 38.2
male 36.9
team 36.7
smiling 35.4
contestant 33.5
happy 32.6
professional 30.9
businesswoman 30
men 28.3
teamwork 26.9
colleagues 26.2
adult 25.9
meeting 24.5
office 23.3
smile 22.1
corporate 21.5
businesspeople 19.9
women 19.8
executive 19.6
standing 19.1
work 18.8
manager 18.6
student 18.5
staff 18.2
suit 18
together 17.5
lifestyle 17.3
portrait 16.2
businessmen 15.6
cheerful 15.4
30s 15.4
success 15.3
supporter 15
indoors 14.9
teacher 14.2
job 14.2
working 14.1
senior 14
couple 13.9
sitting 13.7
worker 13.4
happiness 13.3
table 13
family 12.4
friends 12.2
confident 11.8
planner 11.8
coworkers 11.8
diversity 11.5
education 11.2
presentation 11.2
occupation 11
20s 11
successful 11
room 10.9
four 10.5
tie 10.4
holding 9.9
diverse 9.8
conference 9.8
40s 9.7
partners 9.7
partner 9.7
leadership 9.6
boy 9.6
child 9.4
casual 9.3
mature 9.3
handsome 8.9
associates 8.8
life 8.8
discussion 8.8
workers 8.7
workplace 8.6
adults 8.5
doctor 8.5
communication 8.4
company 8.4
joy 8.3
training 8.3
friendly 8.2
looking 8
home 8
interior 8
nurse 8
discussing 7.9
uniform 7.8
brass 7.7
attractive 7.7
partnership 7.7
boss 7.6
talking 7.6
finance 7.6
enrollee 7.5
fun 7.5
inside 7.4
educator 7.1
kid 7.1
medical 7.1

Google
created on 2018-02-09

people 98
social group 96.8
family 83.9
child 55.2
class 54.5
team 54
professional 51.1
product 50.5

Microsoft
created on 2018-02-09

person 100
wall 99.9
posing 99.4
indoor 96.6
floor 96.3
group 91.1
standing 81.1

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 25-35
Gender Female, 99.7%
Happy 92%
Surprised 7%
Fear 5.9%
Calm 5.2%
Sad 2.2%
Disgusted 0.4%
Confused 0.4%
Angry 0.3%

AWS Rekognition

Age 11-19
Gender Male, 100%
Calm 97.9%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 1.3%
Confused 0.4%
Angry 0.1%
Disgusted 0.1%

AWS Rekognition

Age 49-57
Gender Male, 100%
Happy 95.5%
Surprised 6.5%
Fear 6.1%
Sad 2.3%
Calm 1.6%
Confused 0.7%
Disgusted 0.4%
Angry 0.2%

AWS Rekognition

Age 42-50
Gender Male, 99.7%
Happy 99.4%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Confused 0.1%
Angry 0.1%
Disgusted 0%
Calm 0%

AWS Rekognition

Age 47-53
Gender Female, 100%
Happy 93.7%
Surprised 6.4%
Fear 5.9%
Calm 5.5%
Sad 2.2%
Disgusted 0.1%
Confused 0.1%
Angry 0.1%

AWS Rekognition

Age 9-17
Gender Female, 98.3%
Happy 98.6%
Surprised 6.4%
Fear 5.9%
Sad 2.2%
Calm 0.5%
Disgusted 0.2%
Angry 0.1%
Confused 0.1%

AWS Rekognition

Age 2-8
Gender Female, 94.3%
Calm 50%
Happy 47.1%
Surprised 6.5%
Fear 6%
Sad 2.4%
Angry 0.6%
Disgusted 0.5%
Confused 0.2%

AWS Rekognition

Age 0-3
Gender Female, 100%
Calm 99.7%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Confused 0.1%
Angry 0%
Happy 0%
Disgusted 0%

AWS Rekognition

Age 37-45
Gender Male, 73.9%
Happy 94.5%
Surprised 6.5%
Fear 6%
Sad 2.3%
Calm 1.6%
Confused 1.3%
Disgusted 1.2%
Angry 0.2%

AWS Rekognition

Age 6-14
Gender Female, 99.2%
Happy 99%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Confused 0.4%
Disgusted 0.1%
Angry 0.1%
Calm 0%

AWS Rekognition

Age 6-12
Gender Male, 99%
Happy 99.4%
Surprised 6.4%
Fear 5.9%
Sad 2.2%
Angry 0.1%
Confused 0%
Calm 0%
Disgusted 0%

AWS Rekognition

Age 38-46
Gender Male, 99.8%
Happy 99.5%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Angry 0.1%
Confused 0.1%
Disgusted 0.1%
Calm 0.1%

AWS Rekognition

Age 6-14
Gender Male, 100%
Happy 99.8%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Angry 0%
Confused 0%
Calm 0%
Disgusted 0%

AWS Rekognition

Age 4-12
Gender Female, 100%
Happy 99.9%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Calm 0%
Disgusted 0%
Angry 0%
Confused 0%

AWS Rekognition

Age 48-54
Gender Male, 100%
Happy 99.4%
Surprised 6.4%
Fear 5.9%
Sad 2.2%
Confused 0.1%
Calm 0.1%
Angry 0.1%
Disgusted 0%

AWS Rekognition

Age 43-51
Gender Male, 100%
Happy 96.3%
Surprised 7.1%
Fear 6.1%
Sad 2.2%
Disgusted 0.6%
Confused 0.2%
Calm 0.2%
Angry 0.2%

AWS Rekognition

Age 33-41
Gender Female, 99.9%
Happy 89.3%
Surprised 7.5%
Fear 6.1%
Confused 3.9%
Sad 2.6%
Disgusted 1.1%
Calm 1.1%
Angry 0.7%

Microsoft Cognitive Services

Age 44
Gender Male

Microsoft Cognitive Services

Age 12
Gender Female

Microsoft Cognitive Services

Age 7
Gender Female

Microsoft Cognitive Services

Age 54
Gender Male

Microsoft Cognitive Services

Age 50
Gender Male

Microsoft Cognitive Services

Age 6
Gender Female

Microsoft Cognitive Services

Age 8
Gender Female

Microsoft Cognitive Services

Age 60
Gender Male

Microsoft Cognitive Services

Age 52
Gender Male

Microsoft Cognitive Services

Age 44
Gender Male

Microsoft Cognitive Services

Age 24
Gender Female

Microsoft Cognitive Services

Age 34
Gender Female

Microsoft Cognitive Services

Age 46
Gender Male

Microsoft Cognitive Services

Age 70
Gender Male

Microsoft Cognitive Services

Age 26
Gender Female

Microsoft Cognitive Services

Age 11
Gender Female

Microsoft Cognitive Services

Age 2
Gender Female

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 likely
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 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 Possible
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 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 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 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 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 likely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 98.9%
Female 98.9%
Girl 98.9%
Teen 98.9%
Boy 98.7%
Child 98.7%
Male 98.7%
Suit 98.2%
Adult 98.1%
Bride 98.1%
Woman 98.1%
Man 97.6%
Shoe 79.3%

Categories

Imagga

people portraits 60.9%
events parties 39%

Text analysis

Amazon

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