Human Generated Data

Title

Housing, Government: United States. New Jersey. Woodbury. Woodbury Bag Loading Plant: Governmental Agencies of House Construction. U.S. War Department, Industrial Service Section of the Ordnance Department, Housing Branch: Woodbury, New Jersey. Woodbury Bag Loading Plant: Interior View of Cafeteria.

Date

c. 1918

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, 3.2002.2055.2

Human Generated Data

Title

Housing, Government: United States. New Jersey. Woodbury. Woodbury Bag Loading Plant: Governmental Agencies of House Construction. U.S. War Department, Industrial Service Section of the Ordnance Department, Housing Branch: Woodbury, New Jersey. Woodbury Bag Loading Plant: Interior View of Cafeteria.

People

Artist: Unidentified Artist,

Date

c. 1918

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Restaurant 99.9
Chair 99.6
Furniture 99.6
Person 99.2
Human 99.2
Cafeteria 98.3
Person 97.7
Person 97
Person 90.1
Person 89.8
Person 87.8
Person 86.3
Person 86.1
Person 84.9
Person 81.1
Person 80.6
Person 80.3
Room 80.1
Indoors 80.1
Chair 77.7
Food 60.8
Meal 60.8
Food Court 56.2
Person 43.6
Person 41.7

Clarifai
created on 2019-06-06

people 100
many 99.9
group together 99.8
group 99.6
adult 98.3
administration 97.8
man 97.2
chair 96.9
leader 96.7
furniture 96.5
crowd 94.9
woman 94.6
several 93.1
military 91.7
sit 88.4
vehicle 84.8
seat 84.2
dining room 83.5
war 82.9
recreation 80.7

Imagga
created on 2019-06-06

hall 67.1
room 65.7
classroom 56
table 39.9
restaurant 39.2
chair 37.1
interior 30.1
cafeteria 21.2
modern 21
building 20.6
indoors 18.4
glass 17.9
people 17.8
dinner 17
group 16.9
furniture 16.8
seat 16.4
meeting 16
male 15.6
drink 15
women 15
dining 14.3
business 14
men 13.7
man 13.4
desk 13.2
design 12.9
sitting 12.9
food 12.8
indoor 12.8
conference 12.7
wood 12.5
decor 12.4
structure 12
chairs 11.7
meal 11.5
drinking 11.5
office 11.3
happy 11.3
floor 11.1
person 11.1
bar 11.1
wine 11.1
inside 11
architecture 10.9
lifestyle 10.8
tables 10.8
center 10.6
businessman 10.6
couple 10.4
talking 10.4
work 10.4
empty 10.3
coffee 10.2
decoration 10.1
school 10.1
house 10
adult 9.9
lunch 9.7
together 9.6
hotel 9.5
education 9.5
party 9.4
library 9.4
smiling 9.4
counter 9.3
presentation 9.3
city 9.1
businesswoman 9.1
teacher 9.1
cheerful 8.9
new 8.9
student 8.9
stool 8.9
home 8.8
urban 8.7
comfortable 8.6
eating 8.4
study 8.4
eat 8.4
relaxation 8.4
style 8.2
team 8.1
kitchen 8
life 7.8
scene 7.8
casual 7.6
learning 7.5
row 7.4
manager 7.4
teamwork 7.4
alcohol 7.4
laptop 7.4
job 7.1
day 7.1
happiness 7
wooden 7

Google
created on 2019-06-06

Photograph 95.7
Snapshot 85.6
Room 71.4
Stock photography 68.5
Event 62.7

Microsoft
created on 2019-06-06

table 99.7
furniture 97.1
chair 88.7
person 88
building 74.5
clothing 72.1
group 69.9
kitchen & dining room table 57.2
old 46.2

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Female, 51.1%
Calm 49.2%
Happy 45.3%
Confused 45.2%
Sad 49.4%
Angry 45.3%
Surprised 45.4%
Disgusted 45.3%

AWS Rekognition

Age 20-38
Gender Female, 54.7%
Confused 45.3%
Happy 45.2%
Sad 52.1%
Disgusted 45.1%
Angry 45.5%
Calm 46.8%
Surprised 45.1%

AWS Rekognition

Age 20-38
Gender Male, 52.2%
Calm 50.2%
Disgusted 46.4%
Happy 46.1%
Confused 45.5%
Surprised 45.4%
Sad 45.7%
Angry 45.8%

AWS Rekognition

Age 35-52
Gender Female, 52.6%
Angry 45.7%
Disgusted 46.1%
Calm 48.9%
Surprised 45.4%
Happy 45.9%
Sad 47.9%
Confused 45.2%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Calm 49.5%
Surprised 49.5%
Happy 49.5%
Angry 49.7%
Confused 49.5%
Sad 49.9%
Disgusted 49.8%

AWS Rekognition

Age 27-44
Gender Female, 50.3%
Sad 50.5%
Disgusted 49.5%
Calm 49.5%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Surprised 49.5%
Happy 49.6%
Confused 49.5%
Calm 49.5%
Disgusted 49.7%
Angry 49.7%
Sad 49.9%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Calm 49.6%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.7%
Disgusted 49.5%
Sad 50%

AWS Rekognition

Age 29-45
Gender Female, 50.2%
Calm 49.5%
Sad 50.5%
Surprised 49.5%
Angry 49.5%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.3%
Angry 49.5%
Surprised 49.6%
Disgusted 49.5%
Sad 49.5%
Happy 50.2%
Confused 49.6%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50%
Calm 49.7%
Sad 50.1%
Happy 49.5%
Confused 49.6%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Disgusted 49.6%
Happy 49.5%
Angry 49.6%
Surprised 49.6%
Sad 49.9%
Confused 49.7%
Calm 49.6%

AWS Rekognition

Age 14-23
Gender Female, 50.2%
Happy 49.8%
Calm 49.5%
Sad 50.1%
Surprised 49.5%
Angry 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 27-44
Gender Male, 50.2%
Happy 49.5%
Calm 49.6%
Sad 50.3%
Surprised 49.5%
Angry 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Angry 49.6%
Confused 49.6%
Calm 49.6%
Disgusted 49.6%
Happy 49.6%
Surprised 49.5%
Sad 50.1%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Angry 49.6%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Sad 50.2%
Disgusted 49.6%
Calm 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Calm 50.2%
Sad 49.5%
Confused 49.5%
Angry 49.6%
Disgusted 49.6%
Surprised 49.6%
Happy 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Happy 49.6%
Sad 50.1%
Confused 49.5%
Calm 49.7%
Angry 49.6%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Disgusted 50.3%
Happy 49.5%
Angry 49.6%
Surprised 49.5%
Sad 49.5%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.4%
Disgusted 49.6%
Confused 49.6%
Happy 49.6%
Sad 50.1%
Surprised 49.5%
Calm 49.5%
Angry 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Angry 49.9%
Disgusted 49.5%
Surprised 49.6%
Calm 49.8%
Sad 49.6%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 12-22
Gender Female, 50.3%
Calm 50%
Confused 49.6%
Happy 49.5%
Disgusted 49.5%
Angry 49.6%
Surprised 49.7%
Sad 49.6%

AWS Rekognition

Age 26-44
Gender Female, 50.3%
Happy 49.6%
Disgusted 49.9%
Surprised 49.6%
Sad 49.6%
Confused 49.5%
Angry 49.6%
Calm 49.7%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Sad 50%
Angry 49.6%
Disgusted 49.6%
Surprised 49.5%
Happy 49.5%
Calm 49.8%
Confused 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Calm 49.7%
Sad 50.1%
Surprised 49.5%
Angry 49.6%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Sad 50.4%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Calm 49.5%

AWS Rekognition

Age 48-68
Gender Female, 50.4%
Calm 49.6%
Disgusted 50.2%
Happy 49.6%
Confused 49.5%
Surprised 49.5%
Sad 49.6%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50%
Confused 49.5%
Angry 49.6%
Disgusted 50.2%
Calm 49.5%
Happy 49.6%
Surprised 49.6%
Sad 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Calm 49.8%
Happy 49.6%
Sad 49.7%
Angry 49.6%
Disgusted 49.7%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.1%
Happy 49.5%
Angry 49.6%
Calm 49.9%
Sad 49.8%
Surprised 49.5%
Confused 49.5%
Disgusted 49.6%

AWS Rekognition

Age 6-13
Gender Female, 50.5%
Surprised 49.6%
Angry 49.5%
Sad 50%
Happy 49.6%
Disgusted 49.6%
Calm 49.6%
Confused 49.6%

Feature analysis

Amazon

Chair 99.6%
Person 99.2%

Captions

Microsoft

a group of people sitting at a table 92.9%
a group of people sitting around a table 92.7%
a group of people sitting at a table in front of a building 92.1%

Text analysis

Amazon

MENS
MENS LFAR
LFAR
llelfare landies
HiME

Google

Candies
KENS DEPA ARTMENT Ue Mellare Candies
DEPA
Ue
Mellare
KENS
ARTMENT