Human Generated Data

Title

Defectives, Feeble-minded: United States. Massachusetts. Waverly. School for Feeble-minded: Massachusetts School for the Feeble-Minded.: Advanced Class of Girls.
Date

c. 1903
People

Artist: William A. Webster, American active mid-19th-early 20th century
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.3002.1

Human Generated Data

Title

Defectives, Feeble-minded: United States. Massachusetts. Waverly. School for Feeble-minded: Massachusetts School for the Feeble-Minded.: Advanced Class of Girls.

People

Artist: William A. Webster, American active mid-19th-early 20th century

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.3002.1

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Indoors 100
School 100
Classroom 100
Room 100
Furniture 99.8
Chair 99.8
Chair 99.7
Human 97.5
Person 97.5
Person 97.5
Person 96.3
Person 88.6
Person 88.1
Person 87.5
Person 87.3
Person 87.3
Chair 86.9
Person 85.4
Chair 83.3
Person 82.6
Interior Design 72
Floor 65.6
Lab 58.9
Workshop 56.1

Clarifai
created on 2019-06-05

people 99.8
furniture 99.6
room 99.2
group together 98.5
indoors 96.5
desk 96.5
chair 96.5
group 96.2
seat 95.8
adult 95.8
many 93.9
administration 93.4
home 92.5
man 90.3
table 89.3
vehicle 88.8
several 88.2
four 87.4
dining room 85.1
employee 81.8

Imagga
created on 2019-06-05

room 100
classroom 76.4
interior 70.9
chair 56.2
table 54.9
restaurant 52.1
furniture 45.6
house 39.3
hall 37.2
floor 35.4
cafeteria 34.3
building 33.8
home 32.7
modern 30.9
design 29.9
wood 29.2
dining 28.6
decor 27.4
structure 24
inside 24
indoor 23.8
chairs 23.5
empty 23.2
contemporary 22.6
glass 21
style 20.8
architecture 20.3
indoors 20.2
kitchen 19.9
luxury 19.7
seat 19.4
window 19.3
light 18.1
food 17.5
decoration 17.4
dinner 16.9
tables 16.8
living 16.1
sofa 15.3
drink 15.1
stove 14.8
residential 14.4
lamp 14.3
decorate 14.3
eat 14.3
nobody 14
stool 13.8
counter 13.6
plant 13.5
apartment 13.4
hotel 13.4
comfortable 13.4
place 13.1
lunch 13
drawer 12.9
bar 12
upscale 11.9
hardwood 11.8
elegance 11.8
wooden 11.4
office 11.2
relax 11
wall 10.6
expensive 10.5
tile 10.5
coffee 10.2
center 10.2
space 10.1
cook 10.1
cabinets 9.9
oven 9.8
residence 9.7
lighting 9.7
couch 9.7
urban 9.6
lights 9.3
stylish 9.1
cabinet 9
meal 8.9
refrigerator 8.9
render 8.7
elegant 8.6
estate 8.6
service 8.3
diner 7.8
scene 7.8
carpet 7.8
3d 7.8
party 7.7
library 7.7
real 7.6
city 7.5
wine 7.4
domestic 7.2
life 7.2
day 7.1

Google
created on 2019-06-05

Snapshot 83.6
Room 82.1
Building 74.2
Table 69.7
Cafeteria 69.6
Furniture 68.2
Restaurant 61.8
House 59.3
Interior design 59.1
Coffeehouse 55.1
Monochrome 54.4
Chair 51.3
Square 50.6

Microsoft
created on 2019-06-05

indoor 99.4
floor 99.1
table 97.9
chair 96.2
person 95.5
ceiling 92.2
clothing 89.3
room 89.1
living 86
desk 72.4
library 66.7
building 58.1
furniture 57
man 56.5
area 30.4
cluttered 13.3
several 10

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 45-65
Gender Male, 50.5%
Calm 49.9%
Sad 49.6%
Disgusted 49.6%
Happy 49.6%
Surprised 49.5%
Angry 49.8%
Confused 49.6%

AWS Rekognition

Age 30-47
Gender Female, 50.1%
Disgusted 50.4%
Surprised 49.5%
Happy 49.5%
Calm 49.5%
Angry 49.5%
Sad 49.5%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Sad 50%
Happy 49.6%
Confused 49.5%
Calm 49.7%

AWS Rekognition

Age 35-52
Gender Female, 51.5%
Angry 45.2%
Disgusted 45.2%
Sad 53.3%
Confused 45.2%
Happy 45.2%
Surprised 45.2%
Calm 45.8%

AWS Rekognition

Age 35-52
Gender Male, 50.5%
Surprised 49.6%
Happy 49.6%
Confused 49.7%
Calm 49.8%
Disgusted 49.7%
Angry 49.6%
Sad 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Calm 49.7%
Disgusted 49.5%
Confused 49.6%
Happy 49.7%
Angry 49.6%
Surprised 49.6%
Sad 49.9%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Sad 49.8%
Calm 49.6%
Happy 49.7%
Disgusted 49.6%
Surprised 49.6%
Confused 49.6%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Sad 50.1%
Angry 49.6%
Calm 49.8%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.2%
Happy 49.5%
Angry 49.5%
Sad 50.1%
Calm 49.7%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Disgusted 49.6%
Surprised 49.6%
Sad 49.9%
Calm 49.7%
Angry 49.6%
Happy 49.6%
Confused 49.6%

Feature analysis

Amazon

Chair 99.8%
Person 97.5%

Text analysis

Amazon

the
lif
ute the
ute
story
f Lincolns lif
Lincolns
f

Google

4Lenedais life
4Lenedais
life