Human Generated Data

Title

Defectives, Feeble-minded: United States. Massachusetts. Waverly. School for Feeble-minded: Massachusetts School for the Feeble-Minded.: Elementary Gymnastics.
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, 3.2002.314.4

Human Generated Data

Title

Defectives, Feeble-minded: United States. Massachusetts. Waverly. School for Feeble-minded: Massachusetts School for the Feeble-Minded.: Elementary Gymnastics.

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, 3.2002.314.4

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Person 99.5
Human 99.5
Person 99.3
Person 98.8
Person 98.5
Person 96.1
Person 95.3
Person 95.1
Person 93.5
Indoors 92.9
Crowd 92.3
Room 91.3
Person 89.5
Person 87.4
Floor 86.9
Marching 83.8
Person 83.5
Person 81.8
Person 81.4
Person 71.4
People 69.7
Flooring 68.5
Chair 67.3
Furniture 67.3
Leisure Activities 65.9
Military 64.5
Hall 63.2
Theater 63.1
Concert 59.4
Musical Instrument 59.2
Music Band 59.2
Musician 59.2
Stage 58.9
Housing 55.5
Building 55.5

Clarifai
created on 2019-06-05

people 100
many 99.8
group together 99.6
group 99.3
military 97.8
education 95.5
adult 95.4
school 94.4
man 93.9
administration 93.6
war 92.3
uniform 92
soldier 88.3
discipline 88.1
wear 87.5
indoors 87.4
vehicle 87.3
several 87
leader 85.4
crowd 84.9

Imagga
created on 2019-06-05

teacher 40.1
educator 32.9
dancer 32.2
people 30.1
hall 29.6
performer 26.2
professional 26.1
person 22.1
entertainer 19.9
men 19.7
architecture 19.5
city 19.1
building 17.7
room 17.4
adult 17.2
travel 16.9
interior 16.8
man 15.4
crowd 15.4
group 15.3
classroom 14.7
old 14.6
tourist 13.6
male 13.5
business 11.5
prison 11.2
sport 11
transportation 10.8
tourism 10.7
women 10.3
active 9.9
urban 9.6
life 9.5
walking 9.5
modern 9.1
silhouette 9.1
correctional institution 9
train 8.7
motion 8.6
portrait 8.4
floor 8.4
happy 8.1
new 8.1
station 8.1
night 8
home 8
world 7.7
move 7.7
sky 7.6
action 7.4
speed 7.3
indoor 7.3
landmark 7.2
history 7.2
businessman 7.1
indoors 7

Google
created on 2019-06-05

Dance 93.2
Line dance 84.5
Choreography 82
Performing arts 78.6
Event 75.9
Team 70.5
Ballroom 65.6
Team sport 60.8
Aerobic exercise 58.5
Country-western dance 56.5
Flooring 54
Sports 51.7
Building 50.8

Microsoft
created on 2019-06-05

floor 99.9
person 98.6
indoor 98
dance 94.2
people 69.3
group 60.8
clothing 57.4
hall 25.4
several 11.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

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

AWS Rekognition

Age 11-18
Gender Female, 50.2%
Sad 50.4%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Angry 49.5%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Confused 49.5%
Happy 50.1%
Sad 49.8%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Calm 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Sad 50.5%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Angry 49.5%
Calm 49.5%

AWS Rekognition

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

AWS Rekognition

Age 4-7
Gender Male, 50.2%
Angry 49.6%
Surprised 49.5%
Confused 49.6%
Sad 50.2%
Disgusted 49.5%
Happy 49.5%
Calm 49.6%

AWS Rekognition

Age 12-22
Gender Female, 50.5%
Angry 49.5%
Happy 49.5%
Surprised 49.6%
Calm 50%
Confused 49.6%
Sad 49.7%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Calm 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Sad 50.3%
Happy 49.6%
Angry 49.5%

AWS Rekognition

Age 35-53
Gender Female, 50.1%
Sad 50.4%
Surprised 49.5%
Disgusted 49.5%
Calm 49.5%
Happy 49.5%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 27-44
Gender Female, 50.3%
Disgusted 49.6%
Surprised 49.5%
Happy 50%
Calm 49.5%
Angry 49.5%
Sad 49.8%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Sad 49.8%
Happy 49.5%
Disgusted 49.6%
Calm 50%
Angry 49.5%
Confused 49.5%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.5%
Disgusted 49.6%
Calm 49.5%
Angry 49.6%
Sad 50.2%
Happy 49.5%
Surprised 49.5%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Sad 49.7%
Disgusted 49.5%
Angry 49.6%
Surprised 49.6%
Calm 50%
Confused 49.6%
Happy 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Sad 50%
Disgusted 49.6%
Angry 49.6%
Surprised 49.5%
Calm 49.5%
Confused 49.5%
Happy 49.7%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Calm 49.6%
Angry 49.6%
Disgusted 49.5%
Sad 50.3%
Surprised 49.5%
Happy 49.5%
Confused 49.5%

Feature analysis

Amazon

Person 99.5%