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.: Features Educational to Employes: Library

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.A.1

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.: Features Educational to Employes: Library

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.A.1

Machine Generated Data

Tags

Amazon
created on 2022-06-25

Classroom 99.9
School 99.9
Room 99.9
Indoors 99.9
Person 98.6
Human 98.6
Person 97.5
Person 97.3
Person 95.1
Person 94.3
Person 91
Person 88.6
Person 87.4
Person 81.8
Person 81.4
Person 75.1
Person 74.2
Person 66.5
Lab 55.1
Person 46.2

Imagga
created on 2022-06-25

classroom 100
room 100
interior 59.3
chair 51.4
table 49.4
furniture 39.3
restaurant 38
modern 30.2
house 30.1
design 28.2
home 26.3
floor 25.1
empty 24.9
decor 23
chairs 22.5
inside 22.1
dining 21.9
indoor 21
wood 20.9
indoors 20.2
style 20
architecture 18.8
glass 17.9
contemporary 17.9
tables 17.7
building 17.4
seat 16.7
window 16.5
comfortable 16.2
light 16.1
office 15.8
cafeteria 15.5
center 15.5
bar 14.8
food 14.5
kitchen 14.4
dinner 14.3
lamp 14.3
drink 14.2
residential 13.4
decoration 13
stool 12.9
elegance 12.6
eat 12.6
hotel 12.4
luxury 12
decorate 11.4
business 10.9
nobody 10.9
lighting 10.6
structure 10.6
living 10.4
counter 10.3
lunch 10.3
wall 10.3
lifestyle 10.1
relax 10.1
drawer 9.9
stove 9.8
apartment 9.6
sofa 9.6
work 9.4
hall 9.3
place 9.3
coffee 9.3
stylish 9.1
people 8.9
computer 8.8
urban 8.7
man 8.7
desk 8.6
party 8.6
city 8.3
cook 8.2
plant 8.2
wooden 7.9
cabinets 7.9
upscale 7.9
refrigerator 7.9
oven 7.9
conference 7.8
walls 7.8
life 7.8
space 7.8
meeting 7.5
service 7.4
success 7.3
domestic 7.2

Google
created on 2022-06-25

Microsoft
created on 2022-06-25

indoor 100
ceiling 99.1
wall 95.2
table 94.6
computer 89.6
room 89
desk 83.1
library 79.9
office building 76.9
office 73.7
text 73.4
person 70.5
chair 59.6
working 59.2
building 58
interior 55.2
classroom 53.1
black and white 52.1
cluttered 47.4
furniture 46.9
old 43.4
several 14.4

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 22-30
Gender Male, 99.5%
Calm 82.5%
Sad 10.1%
Surprised 6.4%
Fear 5.9%
Confused 5.2%
Angry 0.2%
Disgusted 0.1%
Happy 0.1%

AWS Rekognition

Age 10-18
Gender Male, 94.8%
Calm 51.8%
Disgusted 21.4%
Happy 15.2%
Surprised 7.5%
Fear 6.3%
Sad 3.6%
Confused 2.5%
Angry 2.1%

AWS Rekognition

Age 14-22
Gender Male, 89.7%
Surprised 42.6%
Calm 23.6%
Disgusted 18.9%
Confused 8.4%
Fear 7.6%
Happy 6.8%
Angry 6.3%
Sad 3.7%

AWS Rekognition

Age 19-27
Gender Male, 70.9%
Calm 90.3%
Surprised 6.9%
Fear 6.1%
Happy 2.6%
Sad 2.5%
Disgusted 2.1%
Confused 1.1%
Angry 1%

AWS Rekognition

Age 24-34
Gender Male, 98.6%
Calm 51.7%
Sad 12.6%
Fear 12.5%
Confused 11%
Surprised 7.1%
Angry 5.3%
Happy 2.5%
Disgusted 2.3%

AWS Rekognition

Age 40-48
Gender Male, 99.9%
Sad 99.9%
Calm 11.2%
Confused 11.1%
Surprised 6.5%
Fear 6.3%
Disgusted 1.7%
Angry 1.1%
Happy 0.3%

AWS Rekognition

Age 18-24
Gender Male, 84.9%
Sad 99.7%
Calm 10.8%
Fear 8.2%
Surprised 7.1%
Angry 5.4%
Confused 3.5%
Disgusted 3.2%
Happy 1.5%

AWS Rekognition

Age 18-24
Gender Male, 84.8%
Sad 66.4%
Calm 49.9%
Confused 8.4%
Surprised 6.9%
Fear 6.4%
Angry 3.6%
Happy 2.8%
Disgusted 1.2%

AWS Rekognition

Age 25-35
Gender Male, 90.5%
Sad 99.9%
Calm 24.7%
Surprised 6.3%
Fear 5.9%
Disgusted 0.1%
Happy 0.1%
Confused 0.1%
Angry 0.1%

AWS Rekognition

Age 26-36
Gender Male, 99.9%
Sad 93.9%
Calm 29.1%
Confused 10.2%
Angry 8.8%
Surprised 7%
Fear 6.1%
Disgusted 2.5%
Happy 1.6%

AWS Rekognition

Age 2-10
Gender Male, 58.6%
Calm 98%
Surprised 6.3%
Fear 5.9%
Sad 2.3%
Confused 0.4%
Disgusted 0.4%
Happy 0.3%
Angry 0.2%

Google Vision

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

Google Vision

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

Feature analysis

Amazon

Person 98.6%

Categories

Imagga

interior objects 98.8%

Text analysis

Google

εΎ—