Human Generated Data

Title

Electronics Assembly, Grumman Aerospace
Date

1978
People

Artist: Elaine Mayes, American born 1938
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Gift of Apeiron Workshops, 2.2002.894
Copyright

© Elaine Mayes

Human Generated Data

Title

Electronics Assembly, Grumman Aerospace

People

Artist: Elaine Mayes, American born 1938

Date

1978

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Gift of Apeiron Workshops, 2.2002.894

Copyright

© Elaine Mayes

Machine Generated Data

Tags

Amazon
created on 2022-02-26

Person 99.6
Human 99.6
Person 99.4
Person 99.4
Person 99
Person 98.5
Person 98
Person 97.9
Person 97.8
Building 97.5
Person 97.2
Person 95.4
Person 94.9
Person 94.9
Factory 92.2
Person 89.1
Person 88.3
Person 88.1
Person 85
Person 74.7
Meal 72.4
Food 72.4
Person 69.6
Restaurant 68.6
Cafeteria 61.5
Manufacturing 59
Assembly Line 58.7

Clarifai
created on 2023-10-28

people 98.7
many 98.1
group 97.9
indoors 97.8
man 97.2
adult 95.4
woman 95.2
restaurant 94.5
furniture 94
sit 90.2
business 89.1
table 88.8
room 88.6
no person 87.9
inside 86.6
luxury 86
row 85.5
industry 85.2
bar 84.7
service 84

Imagga
created on 2022-02-26

archive 48.5
business 25.5
hall 25.3
meeting 24.5
shoe shop 23.2
office 23.1
building 22.4
room 20.7
people 20.6
shop 20.2
city 19.9
businessman 19.4
classroom 19.3
man 17.8
teamwork 17.6
businesswoman 17.3
team 17
group 16.9
old 16.7
town 16.7
male 16.3
working 15.9
architecture 15.6
mercantile establishment 15.5
businesspeople 15.2
work 14.9
tourism 14.8
laptop 14.7
corporate 14.6
travel 14.1
table 13.9
person 13.2
conference 12.7
aerial 12.6
communication 12.6
cooperation 12.6
structure 12.5
desk 12.4
buildings 12.3
computer 12
worker 11.6
job 11.5
professional 11.4
indoors 10.5
panorama 10.5
adult 10.3
place of business 10.3
paper 10.2
center 10.1
house 10
new 9.7
executive 9.7
roof 9.6
workplace 9.5
happy 9.4
successful 9.1
library 9.1
roofs 8.9
discussing 8.8
discussion 8.8
colleagues 8.7
houses 8.7
medieval 8.6
cityscape 8.5
monument 8.4
document 8.3
confident 8.2
landscape 8.2
history 8
together 7.9
collaboration 7.9
urban 7.9
coworkers 7.8
busy 7.7
modern 7.7
planning 7.7
collar 7.7
plaza 7.7
famous 7.4
presentation 7.4
church 7.4
historic 7.3
indoor 7.3
smiling 7.2
landmark 7.2
suit 7.2
interior 7.1
scenic 7

Google
created on 2022-02-26

Table 94.3
Furniture 93.9
Product 90.7
Chair 90.5
Desk 87
Event 75.3
Suit 74.7
Customer 74.1
Engineering 73.9
Office equipment 73.6
Crowd 69.8
Job 69.5
Room 68.9
Government 64.6
Eyewear 64
Machine 64
Employment 62.7
Management 60.3
Tie 60.2
Collection 57.6

Microsoft
created on 2022-02-26

person 76.7
box 75.1
table 67
clothing 62.8
different 48.5
several 12.9
shop 9.6

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 24-34
Gender Male, 98.3%
Calm 74.5%
Sad 12.4%
Angry 4%
Happy 3.2%
Disgusted 2.6%
Confused 1.6%
Surprised 1.1%
Fear 0.6%

AWS Rekognition

Age 13-21
Gender Female, 97.2%
Happy 41.7%
Fear 28.3%
Sad 11.7%
Confused 7.7%
Angry 2.9%
Disgusted 2.9%
Surprised 2.6%
Calm 2.4%

AWS Rekognition

Age 40-48
Gender Female, 78.4%
Fear 75.9%
Calm 17.5%
Surprised 1.9%
Happy 1.6%
Confused 1%
Sad 0.9%
Angry 0.7%
Disgusted 0.5%

AWS Rekognition

Age 45-51
Gender Male, 77.9%
Sad 73.1%
Disgusted 10.8%
Happy 8.6%
Calm 4.1%
Angry 1.3%
Fear 0.8%
Confused 0.7%
Surprised 0.6%

AWS Rekognition

Age 23-31
Gender Male, 99.1%
Sad 40.9%
Calm 19%
Happy 10%
Surprised 8.3%
Confused 7.8%
Fear 7.2%
Disgusted 4.5%
Angry 2.3%

AWS Rekognition

Age 23-31
Gender Male, 99.6%
Calm 69%
Sad 14%
Confused 7.9%
Angry 4.2%
Surprised 3%
Fear 1.1%
Disgusted 0.4%
Happy 0.3%

AWS Rekognition

Age 39-47
Gender Male, 74.3%
Calm 49.5%
Sad 31.8%
Happy 6.7%
Fear 5.1%
Confused 2%
Surprised 2%
Disgusted 1.6%
Angry 1.2%

AWS Rekognition

Age 28-38
Gender Male, 98.4%
Calm 99.8%
Sad 0.1%
Angry 0%
Happy 0%
Confused 0%
Disgusted 0%
Fear 0%
Surprised 0%

AWS Rekognition

Age 22-30
Gender Male, 51.3%
Calm 58.8%
Happy 11.4%
Fear 9.9%
Confused 9.2%
Surprised 3.6%
Sad 2.8%
Disgusted 2.4%
Angry 1.8%

AWS Rekognition

Age 19-27
Gender Female, 98.3%
Fear 27.7%
Angry 24.6%
Calm 21.5%
Sad 13.7%
Confused 4.4%
Surprised 4.2%
Disgusted 2.8%
Happy 1.1%

AWS Rekognition

Age 0-3
Gender Male, 99.6%
Calm 52.7%
Fear 26.4%
Confused 6.2%
Disgusted 4.3%
Sad 3.4%
Happy 3.1%
Surprised 2.6%
Angry 1.3%

AWS Rekognition

Age 16-24
Gender Female, 57%
Calm 40.6%
Surprised 25.7%
Angry 13.2%
Sad 6.8%
Disgusted 6%
Fear 4.2%
Happy 1.8%
Confused 1.6%

AWS Rekognition

Age 16-22
Gender Female, 99.3%
Happy 54.2%
Sad 35.2%
Surprised 3.1%
Calm 2.4%
Fear 1.9%
Disgusted 1.5%
Confused 1%
Angry 0.6%

AWS Rekognition

Age 21-29
Gender Male, 95.6%
Calm 74.6%
Happy 7.9%
Surprised 4.9%
Angry 4%
Sad 3.8%
Disgusted 2.5%
Confused 1.4%
Fear 1.1%

AWS Rekognition

Age 18-24
Gender Male, 99.6%
Fear 33%
Calm 19.1%
Angry 10.6%
Surprised 10.6%
Sad 9.7%
Happy 8.4%
Confused 5.3%
Disgusted 3.4%

AWS Rekognition

Age 23-31
Gender Female, 62.4%
Calm 65.3%
Sad 22.9%
Happy 6.7%
Angry 1.5%
Disgusted 1.3%
Confused 0.9%
Fear 0.8%
Surprised 0.7%

AWS Rekognition

Age 18-26
Gender Male, 99.9%
Calm 95.5%
Happy 1.5%
Sad 0.9%
Angry 0.5%
Disgusted 0.5%
Confused 0.5%
Surprised 0.3%
Fear 0.3%

AWS Rekognition

Age 2-8
Gender Male, 73.9%
Calm 80.3%
Happy 13.9%
Angry 1.8%
Sad 1.5%
Disgusted 0.8%
Confused 0.7%
Fear 0.7%
Surprised 0.4%

AWS Rekognition

Age 19-27
Gender Male, 98.4%
Calm 56.7%
Happy 12.9%
Angry 10.3%
Sad 6.1%
Surprised 4.5%
Confused 3.5%
Disgusted 3.4%
Fear 2.6%

AWS Rekognition

Age 6-14
Gender Male, 93.8%
Calm 54%
Happy 23.3%
Sad 7.5%
Fear 4.8%
Surprised 3%
Angry 2.9%
Disgusted 2.5%
Confused 2%

AWS Rekognition

Age 21-29
Gender Female, 99.9%
Calm 65.8%
Sad 16.8%
Fear 5.2%
Happy 4.2%
Disgusted 3%
Confused 2.9%
Angry 1.1%
Surprised 1%

AWS Rekognition

Age 20-28
Gender Female, 90.7%
Calm 89.9%
Sad 4.1%
Confused 1.7%
Disgusted 1.5%
Fear 1.2%
Happy 0.8%
Surprised 0.5%
Angry 0.3%

AWS Rekognition

Age 9-17
Gender Male, 87.6%
Calm 61.3%
Fear 22.6%
Sad 5.8%
Happy 3.1%
Angry 2.7%
Disgusted 2%
Surprised 1.5%
Confused 0.9%

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 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 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 unlikely
Headwear Very unlikely
Blurred Unlikely

Google Vision

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

Feature analysis

Amazon

Person
Person 99.6%
Person 99.4%
Person 99.4%
Person 99%
Person 98.5%
Person 98%
Person 97.9%
Person 97.8%
Person 97.2%
Person 95.4%
Person 94.9%
Person 94.9%
Person 89.1%
Person 88.3%
Person 88.1%
Person 85%
Person 74.7%
Person 69.6%

Text analysis

Amazon

CAUTION
BAY
BAY SCHMIDT
SCHMIDT