Human Generated Data

Title

Defectives, Feeble-minded: United States. Massachusetts. Waverly. School for Feeble-minded: Massachusetts School for the Feeble-Minded.: Drawing - Advanced Class.
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, 3.2002.3002.2

Human Generated Data

Title

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

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, 3.2002.3002.2

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Room 99.9
Classroom 99.9
School 99.9
Indoors 99.9
Chair 99.5
Furniture 99.5
Human 97.9
Person 97.9
Person 90
Person 84.9
Person 83.9
Person 80.2
Person 80.2
Person 79.2
Person 76.9
Person 74.8
Person 72.2
Chair 66.4
Chair 64.5
Restaurant 60.9
Cafeteria 60.9
Floor 58.8
Wood 57.1
Person 49.6

Clarifai
created on 2019-06-05

people 99.8
furniture 99.3
desk 99
group together 98.8
room 97.7
adult 97.6
group 97.5
many 97.2
education 96.5
indoors 96.1
chair 96.1
administration 94.1
classroom 93.7
seat 92.1
school 90.9
employee 90.9
woman 90.3
man 87.3
teacher 85.4
war 84.1

Imagga
created on 2019-06-05

room 100
restaurant 92
cafeteria 85.1
interior 70.9
classroom 63.4
chair 58.4
table 57.4
building 55.5
furniture 52.4
structure 42.1
house 38.5
floor 35.4
modern 34.4
home 33.6
wood 33.4
design 32.7
decor 30.1
dining 28.6
window 26.6
indoor 26.5
empty 25.8
inside 24.9
contemporary 24.5
architecture 24.3
chairs 23.6
style 20.8
lamp 20.1
luxury 19.8
seat 19.6
light 19.4
indoors 19.4
living 19
decoration 18.9
sofa 18.2
kitchen 17.8
residential 17.3
decorate 17.2
hall 17.1
glass 16.4
apartment 16.3
dinner 16
tables 15.8
plant 15.7
comfortable 15.3
food 15.1
hotel 14.4
stool 13.9
wall 13.8
couch 13.6
drink 13.4
nobody 13.2
stove 12.8
elegance 12.6
office 12.3
urban 12.3
upscale 11.9
hardwood 11.8
relax 11.8
counter 11.8
eat 11.8
residence 11.7
lighting 11.6
wooden 11.4
cook 11
cabinets 10.9
drawer 10.9
carpet 10.7
estate 10.5
3d 10.1
stylish 10
lunch 9.6
desk 9.5
place 9.3
bar 9.3
relaxation 9.2
meal 8.9
refrigerator 8.9
rug 8.9
oven 8.9
render 8.7
scene 8.7
elegant 8.6
tile 8.6
real 8.6
space 8.6
business 8.5
lights 8.4
coffee 8.4
cabinet 8
furnishings 7.9
day 7.9
armchair 7.9
diner 7.8
living room 7.8
walls 7.8
conference 7.8
expensive 7.7
bed 7.6
city 7.5
steel 7.1
work 7.1
fireplace 7

Google
created on 2019-06-05

Room 93.1
Classroom 86.8
Table 85.4
Building 80.2
Furniture 77.7
Cafeteria 76.3
Black-and-white 74.4
Games 63.1
Interior design 62.5
Coffeehouse 61.3
Class 61.1
Recreation 59.4
Floor 58.9
Restaurant 57.6
Flooring 57.4
House 53.7
Café 51.7

Microsoft
created on 2019-06-05

floor 99.9
indoor 99.6
table 99.2
room 99.1
chair 97.1
library 93.9
window 91.7
living 91.5
desk 79.9
person 79.7
furniture 78
building 76.1
classroom 75.6
kitchen & dining room table 74.4
white 68.7
coffee table 63.3
clothing 54.6
several 31.8

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 17-27
Gender Male, 50%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%
Calm 49.6%
Sad 50.3%
Confused 49.5%

AWS Rekognition

Age 45-65
Gender Male, 50.5%
Sad 49.7%
Confused 49.6%
Happy 49.6%
Surprised 49.5%
Disgusted 49.7%
Angry 49.6%
Calm 49.8%

AWS Rekognition

Age 26-43
Gender Male, 52.6%
Disgusted 45.1%
Confused 45.2%
Angry 45.3%
Happy 45%
Calm 46.2%
Surprised 45.1%
Sad 53.1%

AWS Rekognition

Age 38-59
Gender Male, 50.3%
Surprised 49.5%
Sad 50.5%
Angry 49.5%
Disgusted 49.5%
Calm 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 49-69
Gender Male, 52.7%
Happy 45.4%
Calm 46.1%
Confused 45.6%
Angry 48.8%
Disgusted 46%
Sad 47.9%
Surprised 45.3%

AWS Rekognition

Age 27-44
Gender Male, 50.5%
Angry 49.6%
Surprised 49.5%
Confused 49.5%
Sad 50.1%
Disgusted 49.5%
Happy 49.5%
Calm 49.7%

AWS Rekognition

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

AWS Rekognition

Age 38-59
Gender Male, 50.1%
Sad 50.5%
Surprised 49.5%
Happy 49.5%
Disgusted 49.5%
Angry 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 11-18
Gender Male, 50.1%
Sad 49.9%
Angry 49.7%
Calm 49.5%
Happy 49.7%
Disgusted 49.5%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Confused 45.2%
Happy 45.4%
Sad 46.8%
Surprised 45.1%
Angry 48.3%
Disgusted 47.1%
Calm 47.1%

Feature analysis

Amazon

Chair 99.5%
Person 97.9%

Categories

Imagga

interior objects 99.9%

Text analysis

Amazon

GD

Google

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