Human Generated Data

Title

Defectives, Feeble-minded: United States. Massachusetts. Waverly. School for Feeble-minded: Massachusetts School for the Feeble-Minded.: Sewing 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, 3.2002.3000.6

Human Generated Data

Title

Defectives, Feeble-minded: United States. Massachusetts. Waverly. School for Feeble-minded: Massachusetts School for the Feeble-Minded.: Sewing 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, 3.2002.3000.6

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Human 95.6
Person 95.6
Person 95.3
Person 94.9
Person 94.5
Room 94.1
Indoors 94.1
Person 93
Wood 92.2
Person 89.6
Person 88.3
Classroom 87.7
School 87.7
Furniture 87.6
Floor 84.6
Person 84.2
Linen 82.9
Home Decor 82.9
Chair 82.7
Person 81.1
Restaurant 79.6
Cafeteria 79.6
Workshop 79.6
Flooring 77.6
Reception Room 75
Reception 75
Waiting Room 75
Hall 67.2
Hardwood 61.2
People 60.8
Chair 59.8
Housing 55.8
Building 55.8
Chair 54.7
Person 53
Chair 51.4

Clarifai
created on 2019-06-05

people 100
many 99.5
group 99.1
adult 98.9
group together 98.9
woman 98.1
furniture 97.1
room 95.1
man 94.9
child 92.3
wear 91.3
education 90.8
recreation 89.7
indoors 89.5
chair 89.4
several 87.4
administration 86.3
military 86.1
seat 85.1
sit 84.9

Imagga
created on 2019-06-05

interior 64.6
room 63.8
table 49.6
chair 49
furniture 41.7
restaurant 32.2
hospital 30.9
modern 28.7
home 27.9
decor 27.4
house 26.7
design 24.2
floor 24.2
luxury 24
wood 22.5
hall 22.5
dining 20.9
window 20.4
lamp 20
chairs 19.6
shop 18.7
indoors 18.4
banquet 18.2
glass 17.9
dinner 17.8
inside 17.5
sofa 17.3
architecture 17.2
empty 17.2
indoor 16.4
classroom 16.2
decoration 15.9
style 15.6
elegant 15.4
light 15.4
hotel 15.3
relax 15.2
seat 14.4
residential 14.4
comfortable 14.3
living 14.2
cafeteria 13.6
food 13.4
tables 12.8
couch 12.6
contemporary 12.2
eat 11.7
lighting 11.6
family 11.6
barbershop 11.4
wooden 11.4
decorate 11.4
mercantile establishment 11.2
salon 11.1
teacher 11
elegance 10.9
upscale 10.9
carpet 10.7
nobody 10.1
drink 10
rug 9.9
life 9.8
building 9.8
residence 9.7
kitchen 9.6
estate 9.5
warm 9.2
wall 8.9
stool 8.9
lunch 8.7
party 8.6
real 8.5
service 8.3
place of business 8.3
office 8.1
celebration 8
dining room 7.9
furnishings 7.9
fireplace 7.9
hardwood 7.9
dwelling 7.9
day 7.8
people 7.8
space 7.8
apartment 7.7
expensive 7.7
bed 7.6
relaxation 7.5
educator 7.5
plant 7.5
place 7.4
meal 7.4
bar 7.4
business 7.3
holiday 7.2

Google
created on 2019-06-05

Microsoft
created on 2019-06-05

floor 99.7
indoor 99.6
table 97
ceiling 95.2
room 93
chair 85.5
clothing 82.2
person 80.3
furniture 29.9
several 22

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 23-38
Gender Female, 54.7%
Surprised 45.3%
Confused 45.2%
Sad 46.6%
Calm 51.7%
Happy 45.1%
Disgusted 45.6%
Angry 45.5%

AWS Rekognition

Age 26-43
Gender Male, 52.2%
Angry 46%
Calm 45.7%
Sad 52.3%
Confused 45.1%
Disgusted 45.5%
Happy 45.2%
Surprised 45.1%

AWS Rekognition

Age 26-43
Gender Female, 52.4%
Angry 45.5%
Surprised 45.5%
Confused 45.5%
Sad 48.8%
Disgusted 45.3%
Happy 46.6%
Calm 47.7%

AWS Rekognition

Age 26-43
Gender Female, 53.9%
Surprised 45.9%
Confused 46.1%
Happy 45.9%
Angry 46.2%
Calm 45.9%
Sad 48.9%
Disgusted 46%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Confused 49.6%
Calm 49.9%
Happy 49.5%
Surprised 49.5%
Sad 50%
Angry 49.5%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Disgusted 50.3%
Calm 49.5%
Surprised 49.5%
Angry 49.5%
Sad 49.6%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50%
Sad 49.5%
Disgusted 50.4%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Angry 49.5%
Calm 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Sad 47%
Angry 46.2%
Calm 49%
Confused 45.7%
Happy 45.9%
Surprised 45.7%
Disgusted 45.4%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Surprised 49.6%
Disgusted 49.5%
Confused 49.6%
Sad 49.7%
Calm 50%
Happy 49.5%
Angry 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.3%
Sad 49.9%
Confused 49.5%
Calm 49.6%
Disgusted 49.6%
Happy 49.6%
Angry 49.6%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Sad 49.8%
Surprised 49.6%
Disgusted 49.6%
Calm 49.7%
Happy 49.5%
Confused 49.7%
Angry 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.5%
Calm 49.7%
Surprised 49.6%
Disgusted 49.7%
Confused 49.6%
Sad 49.8%
Happy 49.7%
Angry 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Calm 50.2%
Surprised 49.5%
Disgusted 49.5%
Confused 49.6%
Sad 49.6%
Happy 49.5%
Angry 49.5%

Feature analysis

Amazon

Person 95.6%
Chair 82.7%

Categories