Human Generated Data

Title

Defectives, Feeble-minded: United States. Massachusetts. Waverly. School for Feeble-minded: Massachusetts School for the Feeble-Minded.: "On Left Into Line."
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, 3.2002.314.6

Human Generated Data

Title

Defectives, Feeble-minded: United States. Massachusetts. Waverly. School for Feeble-minded: Massachusetts School for the Feeble-Minded.: "On Left Into Line."

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, 3.2002.314.6

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Human 99.7
Person 99.7
Person 99.7
Person 99.6
Person 99.5
Person 99.3
Person 98.5
Floor 97.4
Person 97
Flooring 96.6
Military 96.4
Military Uniform 94.5
Indoors 89
Room 85
Wood 84.9
People 82.3
Person 81.5
Armored 81
Army 81
Hall 79.4
Crowd 77.1
Person 74.8
Troop 71.8
Stage 71.6
Officer 69.4
Person 62.1
Hardwood 61.3
Soldier 59.7
Furniture 58.3
Chair 58.3
Auditorium 56.9
Theater 56.9
Leisure Activities 55.4
Person 53.6
Person 44

Clarifai
created on 2019-06-05

people 100
group together 99.8
many 99.8
group 99.2
military 98.8
adult 98.2
man 97.1
indoors 96.7
administration 96.6
uniform 96.2
war 95.5
school 94.3
leader 94.2
education 92.5
woman 90.6
room 89.2
wear 88.2
chair 88.1
discipline 87.8
home 87.3

Imagga
created on 2019-06-05

hall 79.3
room 45.5
classroom 41.7
interior 28.3
architecture 19.5
building 18.6
wood 18.3
floor 17.7
table 16.9
chair 14.8
house 14.2
wooden 13.2
people 12.8
travel 12.7
furniture 12.1
modern 11.9
home 11.2
empty 11.2
city 10.8
structure 10.6
deck 10.3
pier 10.2
inside 10.1
window 10.1
water 10
ocean 10
restaurant 9.9
glass 9.6
urban 9.6
scene 9.5
wall 9.1
business 9.1
old 9.1
transportation 9
office 8.8
passage 8.8
indoors 8.8
man 8.7
light 8.7
design 8.4
sky 8.3
tourism 8.2
indoor 8.2
landscape 8.2
style 8.2
hallway 7.9
corridor 7.9
sea 7.8
male 7.8
dining 7.6
professional 7.5
seat 7.5
decor 7.1

Google
created on 2019-06-05

Flooring 60
Wood 59.6
Team 59.4
Floor 58.9
Dance 54.1

Microsoft
created on 2019-06-05

floor 99.9
person 97.7
indoor 94
dance 81.7
standing 77.5
white 63.5
group 61.5
man 57.7
clothing 57.1
hall 30.2
wood 27.6
several 14

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Calm 49.5%
Confused 49.5%
Surprised 49.5%
Sad 50.5%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%

AWS Rekognition

Age 15-25
Gender Male, 52.7%
Disgusted 45%
Sad 46.4%
Surprised 45.2%
Calm 45%
Happy 53.1%
Confused 45.2%
Angry 45.1%

AWS Rekognition

Age 11-18
Gender Female, 50.1%
Calm 49.5%
Disgusted 49.5%
Confused 49.5%
Angry 49.7%
Sad 50.2%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 29-45
Gender Male, 50.2%
Happy 49.5%
Calm 49.5%
Confused 49.5%
Angry 49.6%
Disgusted 49.5%
Sad 50.3%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Disgusted 49.5%
Angry 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.5%
Sad 50.5%
Happy 49.5%

AWS Rekognition

Age 11-18
Gender Female, 50.2%
Sad 49.8%
Surprised 49.6%
Happy 49.5%
Disgusted 49.6%
Angry 49.6%
Calm 49.8%
Confused 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.3%
Calm 49.7%
Sad 49.9%
Confused 49.6%
Happy 49.6%
Angry 49.6%
Disgusted 49.6%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Sad 50%
Disgusted 49.5%
Angry 49.8%
Happy 49.5%
Confused 49.5%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50%
Angry 49.7%
Disgusted 49.5%
Sad 50.3%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 29-45
Gender Female, 50.3%
Angry 49.6%
Disgusted 49.6%
Sad 50.2%
Confused 49.5%
Happy 49.6%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Disgusted 49.5%
Calm 49.8%
Angry 49.5%
Sad 49.8%
Happy 49.7%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.3%
Calm 49.5%
Angry 49.5%
Sad 50.5%
Happy 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 30-47
Gender Female, 50.2%
Happy 49.5%
Surprised 49.5%
Angry 49.7%
Sad 49.9%
Confused 49.5%
Calm 49.8%
Disgusted 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Angry 49.6%
Surprised 49.6%
Confused 49.6%
Sad 49.9%
Disgusted 49.6%
Happy 49.6%
Calm 49.8%

AWS Rekognition

Age 27-44
Gender Female, 50.1%
Sad 50%
Disgusted 49.5%
Surprised 49.5%
Happy 49.6%
Confused 49.5%
Angry 49.6%
Calm 49.7%

Feature analysis

Amazon

Person 99.7%