Human Generated Data

Title

Defectives, Feeble-minded: United States. Massachusetts. Waverly. School for Feeble-minded: Massachusetts School for the Feeble-Minded.: Color Lesson.
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, 3.2002.3002.6

Human Generated Data

Title

Defectives, Feeble-minded: United States. Massachusetts. Waverly. School for Feeble-minded: Massachusetts School for the Feeble-Minded.: Color Lesson.

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, 3.2002.3002.6

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Indoors 99.4
Room 99.4
Classroom 99.4
School 99.4
Person 97
Human 97
Person 95.8
Person 93.7
Person 85.8
Person 76.2
Lab 75.6
Person 72.4
Workshop 71.3
Table 62.3
Furniture 62.3
Dining Table 62.3
Person 62.1
Person 61.5
Chair 59.9
Building 55.7
Chair 53.9
Person 46.3

Clarifai
created on 2019-06-05

people 100
furniture 100
room 99.7
group together 99.6
many 99.5
chair 99.4
desk 99.4
adult 98.9
group 98.8
seat 98.8
table 98.4
indoors 98.4
home 96.5
administration 96.4
dining room 95.1
leader 94.2
stool 93.3
woman 92.2
military 91.3
education 91.2

Imagga
created on 2019-06-05

room 100
classroom 100
interior 68.2
table 56.9
chair 54.8
furniture 48.9
restaurant 45.2
hall 42.5
house 39.3
cafeteria 34.7
home 32.8
floor 32.6
wood 32.6
dining 29.5
modern 29.5
decor 29.2
design 26.5
indoor 25.6
chairs 25.5
building 25.1
window 22.9
seat 22.7
empty 21.5
inside 21.2
contemporary 20.7
architecture 20.3
indoors 20.2
style 20.1
kitchen 19.5
luxury 18.9
structure 18.3
lamp 18.1
light 17.4
apartment 17.3
plant 17.2
glass 16.4
residential 16.3
decoration 15.9
tables 15.8
comfortable 15.3
living 15.2
food 15.1
wall 14.7
sofa 14.4
dinner 14.3
wooden 14.1
stool 13.9
stove 13.8
hotel 13.4
elegance 12.6
eat 12.6
drink 12.6
expensive 12.5
decorate 12.4
urban 12.2
lunch 12
nobody 10.9
cabinets 10.9
3d 10.9
day 10.2
bar 10.2
cook 10.1
counter 10.1
stylish 10
drawer 9.9
render 9.5
tile 9.5
place 9.3
relax 9.3
coffee 9.3
cabinet 9
upscale 8.9
refrigerator 8.9
hardwood 8.9
oven 8.8
office 8.8
diner 8.8
residence 8.8
couch 8.7
lighting 8.7
scene 8.7
space 8.5
relaxation 8.4
city 8.3
domestic 8.1
carpet 7.8
vase 7.7
elegant 7.7
flower 7.7
desk 7.6
meal 7.3
lifestyle 7.2
sunlight 7.1
life 7

Google
created on 2019-06-05

Room 89.2
Table 85.4
Furniture 76.7
Games 72.9
Indoor games and sports 68.2
Building 63.7
Recreation 59.4
Interior design 59.1
Classroom 58.3
Black-and-white 56.4
Cafeteria 52.3
Dining room 51.7

Microsoft
created on 2019-06-05

floor 99.8
indoor 99.3
table 98.3
room 96.8
person 92.3
chair 90.2
ceiling 86.6
living 85.4
building 76.1
furniture 59.4
several 21.2
family 16.1

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 4-9
Gender Female, 50.5%
Disgusted 49.5%
Confused 49.6%
Happy 49.6%
Calm 49.5%
Surprised 49.6%
Sad 50.1%
Angry 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Surprised 45.1%
Happy 45.1%
Confused 45.1%
Calm 45.3%
Disgusted 45.1%
Angry 49.4%
Sad 49.9%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Angry 49.5%
Calm 49.5%
Sad 50.4%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Sad 50.3%
Disgusted 49.5%
Angry 49.5%
Surprised 49.5%
Calm 49.5%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.3%
Calm 49.6%
Sad 50%
Confused 49.5%
Happy 49.5%
Angry 49.9%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Confused 49.5%
Calm 49.5%
Happy 49.5%
Surprised 49.5%
Sad 50.3%
Angry 49.5%
Disgusted 49.5%

AWS Rekognition

Age 11-18
Gender Female, 50.2%
Angry 49.6%
Surprised 49.5%
Confused 49.5%
Sad 50.2%
Disgusted 49.5%
Happy 49.7%
Calm 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Sad 50%
Confused 49.6%
Calm 49.6%
Disgusted 49.5%
Happy 49.7%
Angry 49.6%
Surprised 49.6%

AWS Rekognition

Age 48-68
Gender Female, 50.1%
Confused 49.5%
Happy 49.5%
Calm 49.6%
Sad 49.6%
Angry 49.6%
Surprised 49.5%
Disgusted 50.2%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Angry 49.6%
Happy 49.8%
Surprised 49.6%
Calm 49.6%
Confused 49.6%
Sad 49.7%
Disgusted 49.7%

Feature analysis

Amazon

Person 97%
Dining Table 62.3%
Chair 59.9%

Categories

Imagga

interior objects 99.7%

Text analysis

Amazon

T
mM
9R
car

Google

th
th