Human Generated Data

Title

Housing, Government: United States. New Jersey. Woodbury: 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: General Welfare Office (below), Committee Room and Director's Office (above).
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, 3.2002.1665.2

Human Generated Data

Title

Housing, Government: United States. New Jersey. Woodbury: 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: General Welfare Office (below), Committee Room and Director's Office (above).

People

Artist: Unidentified Artist,

Date

c. 1918

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.1665.2

Machine Generated Data

Tags

Amazon
created on 2019-06-07

Person 98.8
Human 98.8
Person 98.6
Person 98.4
Person 98.3
Person 98.2
Restaurant 97.7
Person 93.7
Person 91.1
Cafeteria 88.6
Person 88.5
Person 85.6
Person 85.1
Chair 84.8
Furniture 84.8
Apparel 81.3
Clothing 81.3
Building 80.9
Lab 78.7
Person 78.4
School 77.3
Chair 76.1
Cafe 70.9
Workshop 60.1
Indoors 56
Room 56
Classroom 56
Factory 55.3
Chair 54.4
Person 51.3

Clarifai
created on 2019-06-07

people 99.9
group together 99.5
group 99.4
furniture 99.3
adult 98.9
many 98.4
room 97.8
desk 97.5
several 97.3
administration 97
woman 96.2
man 96.2
education 96
leader 93.8
chair 92.8
indoors 92.6
employee 90.2
dining room 88.6
home 88.5
seat 87.5

Imagga
created on 2019-06-07

room 91.8
interior 69.9
classroom 61.8
restaurant 54.8
chair 44.7
furniture 41.7
table 40
building 39.9
modern 37.2
cafeteria 35.9
house 30.9
wood 28.4
design 27.6
structure 27.5
decor 27.4
indoor 27.4
home 26.3
floor 26.1
architecture 25.4
inside 24.9
dining 23.8
window 23.1
style 22.3
hall 21.6
chairs 21.6
kitchen 21.2
glass 21
lamp 21
indoors 20.2
light 20.1
counter 18.5
office 18.2
empty 18.1
library 17.5
dinner 16.9
tables 16.8
luxury 16.3
comfortable 16.2
nobody 15.6
hotel 15.3
food 15.1
contemporary 15.1
bar 14.8
center 14.6
decoration 14.5
seat 14.4
apartment 14.4
drink 14.2
stove 13.8
3d 13.2
service 13
wall 12.9
work 12.6
business 12.2
stool 11.9
eat 11.8
shop 11.5
elegance 10.9
drawer 10.9
stylish 10.9
oven 10.8
steel 10.6
wooden 10.6
decorate 10.5
plant 10.5
living 10.4
render 10.4
lunch 10.3
place 10.2
barbershop 9.9
cabinet 9.9
urban 9.6
residential 9.6
tile 9.5
party 9.5
elegant 9.4
cook 9.2
city 9.2
refrigerator 8.9
metal 8.9
vase 8.7
estate 8.6
real 8.5
lights 8.4
cabinets 7.9
upscale 7.9
serve 7.8
space 7.8
lighting 7.7
mirror 7.6
equipment 7.3
meal 7.3
people 7.3
life 7.2

Google
created on 2019-06-07

Photograph 95.1
Snapshot 82
Building 75.5
Room 71.4
Office 67.2
Furniture 53.3

Microsoft
created on 2019-06-07

indoor 99.5
table 98.7
floor 95.3
person 93.6
window 92.1
clothing 78.6
ceiling 76.5
room 75.2
chair 70.6
building 66.9
library 66
desk 56.6
furniture 23.8

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 23-38
Gender Female, 54%
Confused 45.2%
Calm 50.5%
Disgusted 45.3%
Happy 46.9%
Angry 45.5%
Surprised 45.5%
Sad 46.2%

AWS Rekognition

Age 20-38
Gender Female, 53.3%
Angry 45.2%
Confused 45.1%
Calm 53.5%
Sad 45.7%
Disgusted 45.2%
Happy 45.1%
Surprised 45.3%

AWS Rekognition

Age 57-77
Gender Male, 50.5%
Calm 49.6%
Angry 49.6%
Surprised 49.5%
Sad 50%
Happy 49.6%
Confused 49.6%
Disgusted 49.7%

AWS Rekognition

Age 23-38
Gender Female, 54.7%
Calm 47.7%
Sad 49.6%
Angry 46.3%
Surprised 45.6%
Happy 45.3%
Confused 45.2%
Disgusted 45.3%

AWS Rekognition

Age 23-38
Gender Female, 50%
Disgusted 49.7%
Angry 49.6%
Surprised 49.6%
Sad 49.6%
Happy 49.8%
Confused 49.6%
Calm 49.6%

AWS Rekognition

Age 30-47
Gender Female, 50%
Happy 49.5%
Angry 49.5%
Disgusted 49.8%
Calm 49.5%
Sad 50%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.9%
Happy 49.6%
Angry 49.5%
Sad 49.9%

AWS Rekognition

Age 35-52
Gender Male, 50.4%
Happy 49.5%
Sad 50%
Calm 49.5%
Surprised 49.5%
Confused 49.6%
Disgusted 49.9%
Angry 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50%
Surprised 49.6%
Happy 49.6%
Confused 49.5%
Angry 49.6%
Calm 49.8%
Sad 49.7%
Disgusted 49.7%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Sad 49.7%
Happy 49.5%
Angry 49.7%
Calm 49.9%
Surprised 49.6%
Disgusted 49.5%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Disgusted 49.5%
Calm 49.9%
Surprised 49.5%
Confused 49.6%
Happy 49.7%
Sad 49.7%
Angry 49.5%

Feature analysis

Amazon

Person
Chair
Person 98.8%
Person 98.6%
Person 98.4%
Person 98.3%
Person 98.2%
Person 93.7%
Person 91.1%
Person 88.5%
Person 85.6%
Person 85.1%
Person 78.4%
Person 51.3%
Chair 84.8%
Chair 76.1%
Chair 54.4%

Categories

Imagga

interior objects 99.5%