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.: Departments: Assembling Dept.
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, 3.2002.324.B.4

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.: Departments: Assembling Dept.

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, 3.2002.324.B.4

Machine Generated Data

Tags

Amazon
created on 2022-06-25

Building 100
Factory 100
Assembly Line 100
Human 99.6
Person 99.6
Person 99.4
Person 99.1
Person 98.1
Person 98
Person 94.7
Person 92.7
Person 73.7
Person 72
Person 69.8
Person 55.9

Imagga
created on 2022-06-25

shop 37.1
interior 30
restaurant 29.6
table 25.1
passenger 23.9
mercantile establishment 23.6
people 23.4
chair 20.4
building 20
barbershop 20
indoors 19.3
room 19.1
place of business 19
man 18.1
men 17.2
modern 15.4
inside 14.7
salon 14.7
work 14.2
life 14.1
urban 14
adult 13.7
furniture 13.6
architecture 13.3
business 12.7
transportation 12.5
male 12
sitting 12
bar 12
travel 12
train 11.9
person 11.9
women 11.9
city 11.6
group 11.3
structure 10.9
lifestyle 10.8
old 10.4
dinner 10.3
establishment 10.1
equipment 9.8
food 9.7
hairdresser 9.6
dining 9.5
party 9.4
smiling 9.4
hall 9.1
indoor 9.1
vacation 9
style 8.9
chairs 8.8
station 8.8
decoration 8.7
crowd 8.6
hotel 8.6
empty 8.6
seat 8.3
occupation 8.2
working 7.9
counter 7.8
scene 7.8
glass 7.8
portrait 7.8
lunch 7.7
industry 7.7
office 7.7
shoe shop 7.7
butcher shop 7.7
journey 7.5
happy 7.5
leisure 7.5
place 7.4
floor 7.4
coffee 7.4
light 7.3
design 7.3
new 7.3
cafeteria 7.2
day 7.1
wagon 7
together 7

Google
created on 2022-06-25

Black-and-white 83.9
Style 83.8
Table 76.4
Customer 76.2
Monochrome 75.2
Monochrome photography 75.2
Suit 73
Event 72.7
Factory 70
Room 66.4
Building 65.4
Crowd 62.6
History 62.2
Vintage clothing 59.7
Cafeteria 58.9
Art 58.7
Marketplace 55.6
Chair 55.5
Photography 51.8
Recreation 51.1

Microsoft
created on 2022-06-25

person 99.3
clothing 97.9
indoor 97.5
people 90.9
group 85.3
man 84.3
text 78.7
scene 75.5
old 67.8
woman 64.9
crowd 27.3
clothes 18.8
several 10.2

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 35-43
Gender Male, 90.9%
Sad 91.2%
Happy 42.1%
Calm 10.8%
Surprised 6.8%
Fear 6.4%
Angry 0.8%
Confused 0.4%
Disgusted 0.4%

AWS Rekognition

Age 28-38
Gender Male, 92.8%
Calm 60.1%
Sad 22.9%
Surprised 9.3%
Fear 7.1%
Disgusted 5.6%
Angry 4%
Happy 2.7%
Confused 1.3%

AWS Rekognition

Age 11-19
Gender Male, 87.6%
Sad 98.5%
Calm 19.3%
Fear 10.2%
Surprised 7.9%
Angry 5.4%
Confused 3.4%
Happy 2.1%
Disgusted 2%

AWS Rekognition

Age 23-33
Gender Male, 100%
Calm 54.7%
Fear 19.1%
Surprised 12.6%
Confused 6.2%
Sad 4.2%
Happy 3%
Angry 1.4%
Disgusted 0.9%

AWS Rekognition

Age 22-30
Gender Male, 99.9%
Calm 66.6%
Happy 22.9%
Surprised 7.1%
Fear 6.3%
Sad 3.3%
Angry 2.1%
Disgusted 1.6%
Confused 1.2%

AWS Rekognition

Age 21-29
Gender Male, 95.1%
Sad 100%
Surprised 6.4%
Fear 5.9%
Confused 1.1%
Disgusted 0.4%
Angry 0.3%
Calm 0.3%
Happy 0.1%

AWS Rekognition

Age 30-40
Gender Male, 96.8%
Sad 46.4%
Calm 29%
Disgusted 17.9%
Fear 11.4%
Confused 8.4%
Surprised 7.2%
Happy 3.9%
Angry 2.6%

AWS Rekognition

Age 21-29
Gender Female, 82.4%
Calm 36.3%
Fear 17.5%
Angry 13.1%
Happy 12%
Disgusted 10.1%
Surprised 7.2%
Sad 5.1%
Confused 2.3%

AWS Rekognition

Age 22-30
Gender Female, 92.6%
Fear 97.4%
Surprised 6.7%
Sad 3.3%
Calm 0.7%
Angry 0.1%
Disgusted 0.1%
Happy 0.1%
Confused 0%

AWS Rekognition

Age 12-20
Gender Female, 87.4%
Calm 99.3%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0.1%
Angry 0.1%
Disgusted 0.1%
Confused 0%

AWS Rekognition

Age 18-26
Gender Male, 98.5%
Calm 68.5%
Sad 33.3%
Surprised 7.2%
Fear 6.4%
Disgusted 2%
Happy 1.6%
Angry 1.5%
Confused 1.4%

AWS Rekognition

Age 30-40
Gender Male, 99.7%
Calm 82.1%
Surprised 8.1%
Fear 6.8%
Happy 5.6%
Disgusted 3.5%
Sad 2.4%
Confused 1.3%
Angry 1.1%

AWS Rekognition

Age 22-30
Gender Male, 99.5%
Calm 44.2%
Sad 18.4%
Fear 16.1%
Surprised 7.6%
Happy 7.1%
Confused 5.9%
Disgusted 3.8%
Angry 3.6%

AWS Rekognition

Age 27-37
Gender Male, 99.9%
Calm 54.3%
Surprised 15.8%
Confused 14%
Happy 9.7%
Fear 6.8%
Disgusted 4.2%
Sad 2.6%
Angry 2.1%

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 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 Likely

Google Vision

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

Feature analysis

Amazon

Person 99.6%

Categories

Imagga

people portraits 47.4%
streetview architecture 45.5%
events parties 3.2%
paintings art 1.3%

Text analysis

Amazon

FA
BOSS FA
BOSS

Google

SSE
ROCHE PALING SSE
ROCHE
PALING