Human Generated Data

Title

Industrial Problems, Welfare Work: United States. Ohio. Dayton. National Cash Register Company: Welfare Institutions of the National Cash Register Company, Dayton, Ohio.: Advantages for Employes: Calisthenics
Date

c. 1903
People

Artist: Unidentified Artist,

Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.326.A.3

Human Generated Data

Title

Industrial Problems, Welfare Work: United States. Ohio. Dayton. National Cash Register Company: Welfare Institutions of the National Cash Register Company, Dayton, Ohio.: Advantages for Employes: Calisthenics

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.326.A.3

Machine Generated Data

Tags

Amazon
created on 2022-06-25

Assembly Line 99.7
Building 99.7
Factory 99.7
Person 99.4
Human 99.4
Person 99.2
Person 99
Person 98.8
Person 97.8
Person 93.4
Person 91.3
Person 88.1
Person 78.3
Restaurant 74.3
Person 73.4
Cafeteria 71.3
Piano 60.7
Musical Instrument 60.7
Leisure Activities 60.7
Person 59.2
Person 58.5
Workshop 55.3

Imagga
created on 2022-06-25

barbershop 100
shop 95.8
mercantile establishment 70.9
place of business 47.4
room 39.7
interior 37.1
restaurant 31.6
table 30.3
chair 30.1
establishment 24.7
furniture 22.8
people 19
indoors 18.4
classroom 17.4
modern 16.8
home 16.7
house 15
cafeteria 14.3
man 14.1
glass 14
floor 13.9
tables 13.8
chairs 13.7
dinner 13.6
decor 13.3
decoration 13
inside 12.9
style 12.6
architecture 12.5
design 12.4
dining 12.4
business 12.1
building 12.1
eat 11.7
drink 11.7
comfortable 11.5
light 11.4
old 11.1
bar 11.1
seat 11
work 11
food 10.9
lifestyle 10.8
office 10.8
life 10.8
person 10.5
sitting 10.3
empty 10.3
lunch 10.3
coffee 10.2
indoor 10
wood 10
kitchen 9.8
hotel 9.5
women 9.5
men 9.4
industry 9.4
service 9.3
hall 9.1
counter 8.9
family 8.9
party 8.6
lamp 8.6
male 8.5
relax 8.4
city 8.3
equipment 8.1
urban 7.9
scene 7.8
elegance 7.6
place 7.4
window 7.4
vintage 7.4
retro 7.4
adult 7.3
black 7.2
day 7.1
wooden 7

Google
created on 2022-06-25

White 92.2
Black 89.5
Black-and-white 84.6
Style 84
Table 83.9
Line 82.4
Monochrome 77.9
Monochrome photography 75.5
Snapshot 74.3
Event 73.5
Building 71.6
Room 70
Child 69.9
Class 67.9
Team 66.2
History 62.8
Cafeteria 59.8
Academic institution 57.9
Factory 56.8
Suit 56.4

Microsoft
created on 2022-06-25

indoor 97.6
person 93.5
clothing 90
table 86.5
furniture 84.2
people 70.1
white 64.4
chair 55.4
old 49
restaurant 21.1

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 27-37
Gender Female, 98%
Calm 100%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Angry 0%
Confused 0%
Happy 0%
Disgusted 0%

AWS Rekognition

Age 24-34
Gender Female, 100%
Calm 96.2%
Surprised 6.3%
Fear 5.9%
Angry 3.1%
Sad 2.2%
Confused 0.2%
Happy 0.1%
Disgusted 0.1%

AWS Rekognition

Age 29-39
Gender Female, 99.9%
Calm 98.7%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Angry 0.8%
Confused 0.2%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 22-30
Gender Female, 88.1%
Calm 71.8%
Surprised 10%
Confused 9.6%
Fear 7%
Sad 6.7%
Angry 0.9%
Disgusted 0.5%
Happy 0.3%

AWS Rekognition

Age 23-31
Gender Male, 96.7%
Calm 89.6%
Fear 7.2%
Surprised 7%
Confused 3%
Sad 2.3%
Happy 1%
Angry 0.8%
Disgusted 0.5%

AWS Rekognition

Age 19-27
Gender Female, 99.1%
Sad 88.4%
Calm 48.9%
Angry 6.9%
Surprised 6.4%
Fear 6.3%
Disgusted 1.1%
Confused 0.5%
Happy 0.2%

AWS Rekognition

Age 21-29
Gender Female, 76.7%
Sad 98.6%
Calm 33.2%
Fear 7%
Surprised 6.5%
Happy 3.4%
Confused 2.1%
Disgusted 0.8%
Angry 0.7%

AWS Rekognition

Age 16-24
Gender Male, 94.1%
Sad 99.1%
Calm 14.5%
Fear 13.3%
Surprised 6.9%
Happy 3.7%
Angry 2.8%
Confused 2.7%
Disgusted 1.6%

AWS Rekognition

Age 23-31
Gender Male, 88.5%
Fear 78.4%
Sad 45.4%
Surprised 10%
Confused 2.6%
Happy 1.6%
Disgusted 1.5%
Calm 1.4%
Angry 1.1%

AWS Rekognition

Age 20-28
Gender Male, 81.3%
Calm 97.9%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Angry 1.4%
Confused 0.1%
Disgusted 0.1%
Happy 0%

AWS Rekognition

Age 24-34
Gender Female, 100%
Calm 68.1%
Fear 9.8%
Angry 7.4%
Surprised 7%
Confused 4.8%
Sad 4.5%
Disgusted 2.6%
Happy 2.2%

AWS Rekognition

Age 20-28
Gender Male, 74.3%
Calm 69.9%
Sad 16.7%
Angry 8.3%
Surprised 6.7%
Fear 6.4%
Disgusted 1.8%
Confused 1.7%
Happy 0.5%

AWS Rekognition

Age 26-36
Gender Female, 73.7%
Calm 71.8%
Fear 8.8%
Surprised 8.4%
Confused 5.6%
Angry 3.8%
Happy 3.5%
Sad 3.4%
Disgusted 1.8%

AWS Rekognition

Age 45-51
Gender Female, 78.9%
Fear 81.3%
Sad 75.8%
Surprised 6.3%
Calm 1.4%
Happy 0.1%
Angry 0.1%
Disgusted 0.1%
Confused 0.1%

AWS Rekognition

Age 23-33
Gender Male, 91.6%
Fear 83.3%
Surprised 10.4%
Confused 9.8%
Calm 9.7%
Disgusted 3.7%
Sad 3.1%
Happy 1.4%
Angry 1.1%

AWS Rekognition

Age 7-17
Gender Female, 96.3%
Sad 90.1%
Calm 30.4%
Fear 11.9%
Angry 8.1%
Surprised 7.2%
Disgusted 2.6%
Happy 2.3%
Confused 1.1%

AWS Rekognition

Age 16-24
Gender Male, 96.9%
Calm 79.2%
Sad 10.4%
Fear 7%
Surprised 6.8%
Angry 4%
Disgusted 0.6%
Happy 0.3%
Confused 0.2%

AWS Rekognition

Age 13-21
Gender Male, 95%
Calm 85.6%
Fear 6.6%
Surprised 6.5%
Sad 5%
Confused 2.4%
Angry 2.2%
Happy 1%
Disgusted 0.3%

AWS Rekognition

Age 22-30
Gender Female, 72.5%
Sad 100%
Fear 7%
Surprised 6.3%
Calm 1.8%
Disgusted 0.5%
Confused 0.2%
Angry 0.1%
Happy 0.1%

AWS Rekognition

Age 24-34
Gender Male, 99.7%
Sad 95.1%
Calm 46.3%
Surprised 6.4%
Fear 6%
Disgusted 2.5%
Angry 1.8%
Confused 0.9%
Happy 0.1%

AWS Rekognition

Age 11-19
Gender Female, 63.6%
Surprised 55.5%
Sad 19.8%
Fear 15.4%
Calm 12.5%
Angry 10.5%
Confused 6.1%
Happy 2.4%
Disgusted 1.5%

AWS Rekognition

Age 2-10
Gender Male, 72.2%
Fear 89.9%
Sad 10%
Confused 8.1%
Surprised 8%
Calm 1.6%
Angry 1.1%
Disgusted 0.5%
Happy 0.4%

AWS Rekognition

Age 18-26
Gender Female, 54.2%
Angry 78.7%
Fear 8.1%
Sad 7.4%
Surprised 7.1%
Calm 3%
Disgusted 1.4%
Happy 0.6%
Confused 0.3%

AWS Rekognition

Age 23-31
Gender Male, 98.1%
Calm 61.7%
Sad 23.8%
Surprised 9%
Fear 7.5%
Confused 6.5%
Angry 2.4%
Disgusted 1.2%
Happy 1.2%

AWS Rekognition

Age 22-30
Gender Male, 80.1%
Fear 86.7%
Calm 19.2%
Happy 7.6%
Surprised 7%
Sad 2.6%
Confused 0.5%
Angry 0.4%
Disgusted 0.3%

Microsoft Cognitive Services

Age 28
Gender Female

Microsoft Cognitive Services

Age 47
Gender Female

Microsoft Cognitive Services

Age 39
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 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 likely

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 Possible

Google Vision

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

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 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 Possible

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

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 likely

Google Vision

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

Feature analysis

Amazon

Person 99.4%
Piano 60.7%