Human Generated Data

Title

Defectives, Feeble-minded: United States. Massachusetts. Waverly. School for Feeble-minded: Massachusetts School for the Feeble-Minded.: Darning 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, 3.2002.3000.5

Human Generated Data

Title

Defectives, Feeble-minded: United States. Massachusetts. Waverly. School for Feeble-minded: Massachusetts School for the Feeble-Minded.: Darning 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, 3.2002.3000.5

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Person 99
Human 99
Indoors 98.2
Room 98.2
Person 97.9
Person 97.6
Person 97.5
Person 93.5
Person 90.7
Furniture 88.8
Person 88.4
Classroom 88.3
School 88.3
Person 84.6
Person 83.9
Stage 82.5
Person 74
Person 73.9
People 70.6
Clinic 68.3
Person 66.2
Person 62.3
Couch 61.6
Bedroom 59.1
Kindergarten 58.6
Chair 57.6
Floor 57
Hall 56.9
Clothing 56.3
Apparel 56.3
Dress 55.1

Clarifai
created on 2019-06-05

people 100
many 99.7
group 99.5
group together 99.3
adult 98.8
man 96
woman 95.6
furniture 92.5
education 91.4
leader 89.7
administration 89.7
several 89.5
room 86.7
military 85.3
child 83.7
outfit 83.2
war 79.4
wear 79.1
school 78.2
teacher 74.6

Imagga
created on 2019-06-05

room 83.8
interior 61
furniture 53.6
table 48.8
chair 46.4
house 42.6
floor 41.8
classroom 38.1
home 37.7
sofa 35.4
hall 34.2
decor 32.7
modern 31.5
living 31.3
luxury 30.9
wood 27.5
design 26.4
architecture 25.9
window 25.8
residential 23.9
lamp 22.9
couch 22.2
indoor 21.9
inside 21.2
seat 20
light 18.7
residence 17.7
comfortable 17.2
style 17.1
decoration 17
relax 16.8
empty 16.3
hotel 16.2
carpet 15.6
restaurant 14.9
fireplace 14.8
hardwood 14.7
chairs 14.7
apartment 14.4
estate 14.2
pillow 13.9
wall 13.9
bed 13.4
bedroom 13.3
real 13.3
indoors 13.2
cozy 12.8
living room 12.7
building 12.4
wooden 12.3
travel 12
furnishings 11.8
relaxation 11.7
glass 11.7
space 11.6
lighting 11.6
comfort 11.6
decorate 11.4
leather 11.4
armchair 11.3
elegant 11.1
upscale 10.9
clean 10.9
rug 10.8
resort hotel 10.1
ottoman 10
family 9.8
marble 9.8
lounge 9.8
rest 9.6
expensive 9.6
dining 9.5
warm 9.2
dwelling 8.8
sleep 8.8
urban 8.7
structure 8.6
nobody 8.6
business 8.5
contemporary 8.5
vacation 8.2
fixtures 7.9
suburbs 7.9
suburban 7.9
motel 7.9
tables 7.9
luxurious 7.8
center 7.8
stone 7.6
desk 7.6
office 7.4
new 7.3
domestic 7.2

Google
created on 2019-06-05

Photograph 96.8
Snapshot 86
Room 71.4
Black-and-white 68.3
Monochrome 67.6
Event 67
House 63.1
Stock photography 62.1
Vintage clothing 59
Family 56.1
History 54.1
Sitting 54.1
Team 52.3
Building 50.8

Microsoft
created on 2019-06-05

person 83.1
clothing 56.3
school 54
several 21.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 19-36
Gender Female, 53.8%
Calm 46.8%
Sad 50.4%
Confused 45.6%
Happy 45.8%
Angry 45.6%
Disgusted 45.3%
Surprised 45.6%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Sad 50.1%
Happy 49.5%
Disgusted 49.6%
Calm 49.6%
Angry 49.5%
Confused 49.6%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Angry 49.6%
Happy 49.8%
Surprised 49.6%
Calm 49.7%
Confused 49.6%
Sad 49.6%
Disgusted 49.5%

AWS Rekognition

Age 14-23
Gender Male, 50.4%
Happy 49.5%
Angry 50.1%
Sad 49.6%
Calm 49.5%
Confused 49.6%
Disgusted 49.6%
Surprised 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.1%
Sad 49.6%
Surprised 49.6%
Happy 49.7%
Disgusted 49.6%
Angry 49.7%
Calm 49.7%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Happy 49.5%
Angry 50%
Calm 49.5%
Confused 49.6%
Surprised 49.6%
Disgusted 49.6%
Sad 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Sad 50.3%
Angry 49.6%
Calm 49.5%
Happy 49.5%
Disgusted 49.6%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 27-44
Gender Female, 50.4%
Sad 46.4%
Disgusted 47.3%
Angry 46.9%
Happy 46.7%
Confused 45.9%
Calm 45.5%
Surprised 46.3%

AWS Rekognition

Age 26-44
Gender Female, 53.1%
Sad 47.9%
Surprised 45.3%
Disgusted 45.4%
Calm 45.4%
Happy 49.5%
Confused 45.6%
Angry 45.9%

AWS Rekognition

Age 48-68
Gender Male, 50%
Sad 49.5%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Calm 50.3%

AWS Rekognition

Age 23-38
Gender Female, 53.4%
Sad 49.8%
Calm 48.3%
Happy 45.3%
Disgusted 45.4%
Surprised 45.4%
Confused 45.4%
Angry 45.3%

Feature analysis

Amazon

Person 99%

Categories

Imagga

interior objects 96.9%
pets animals 1.4%
people portraits 1.3%