Human Generated Data

Title

Charity, Aged: United States. New York. Rochester. Protestant Episcopal Church Home: Protestant-Episcopal Church Home, Rochester, N.Y.: School-Room
Date

c. 1900
People

Artist: Unidentified Artist,

Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.282.1

Human Generated Data

Title

Charity, Aged: United States. New York. Rochester. Protestant Episcopal Church Home: Protestant-Episcopal Church Home, Rochester, N.Y.: School-Room

People

Artist: Unidentified Artist,

Date

c. 1900

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.282.1

Machine Generated Data

Tags

Amazon
created on 2019-06-07

Indoors 99.9
Classroom 99.9
Room 99.9
School 99.9
Person 99.4
Human 99.4
Person 98.5
Person 98.4
Person 93
Person 80.8
Person 80.6
Person 79.6
Person 77.9
Art 65.1
Painting 65.1
Person 57
Person 48.8

Clarifai
created on 2019-06-07

people 99.9
many 99.9
group 99.4
education 97.7
adult 97.5
group together 96.8
room 96.5
school 96.2
leader 96.2
crowd 95.6
administration 95.1
teacher 95
man 94.2
military 94.1
furniture 93.8
war 92.5
woman 92.4
chair 90.5
child 89.4
indoors 86.1

Imagga
created on 2019-06-07

classroom 35.6
room 32.7
city 30.7
travel 21.8
old 21.6
building 21
architecture 19.5
tourism 18.1
hall 16.7
street 16.5
urban 15.7
historic 15.6
people 15.1
history 14.3
wall 13.7
culture 13.7
ancient 13
house 12.6
tourist 11.9
landmark 11.7
town 10.2
restaurant 10.1
art 10
interior 9.7
statue 9.5
journey 9.4
life 9.3
stone 9.3
chair 9.1
center 9
vacation 9
transportation 9
uniform 8.9
antique 8.7
world 8.7
sculpture 8.7
scene 8.6
table 8.6
empty 8.6
walking 8.5
grunge 8.5
window 8.5
historical 8.5
place 8.4
famous 8.4
sky 8.3
vintage 8.3
landscape 8.2
industrial 8.2
dirty 8.1
new 8.1
man 8.1
station 7.9
clothing 7.7
crowd 7.7
person 7.6
buildings 7.6
monument 7.5
business 7.3
shop 7.2
night 7.1

Google
created on 2019-06-07

Room 81.5
Class 54.5
History 54.1
Collection 52.1
State school 52
Art 50.2

Microsoft
created on 2019-06-07

floor 94.4
chair 89.3
furniture 89
indoor 88.4
group 78.9
person 76.2
table 75.9
store 43.9
several 15.7
shop 13.3

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 4-9
Gender Female, 54.4%
Happy 45.1%
Surprised 45%
Confused 45%
Angry 45.2%
Sad 54.6%
Disgusted 45%
Calm 45%

AWS Rekognition

Age 6-13
Gender Female, 54.9%
Calm 46.3%
Sad 51.9%
Surprised 45.4%
Disgusted 45.2%
Angry 45.3%
Confused 45.5%
Happy 45.5%

AWS Rekognition

Age 4-7
Gender Female, 51.5%
Happy 45.1%
Disgusted 45.1%
Sad 50.3%
Angry 45.4%
Confused 45.4%
Calm 48.3%
Surprised 45.4%

AWS Rekognition

Age 11-18
Gender Female, 51.8%
Surprised 45.1%
Calm 45.3%
Sad 54.2%
Happy 45.2%
Confused 45.1%
Angry 45.1%
Disgusted 45%

AWS Rekognition

Age 29-45
Gender Male, 51.3%
Sad 49.7%
Angry 45.5%
Calm 47.5%
Surprised 45.8%
Disgusted 45.3%
Happy 45.6%
Confused 45.6%

AWS Rekognition

Age 10-15
Gender Female, 53.4%
Angry 45.5%
Confused 45.6%
Disgusted 45.2%
Surprised 45.2%
Calm 50%
Sad 48.4%
Happy 45.1%

AWS Rekognition

Age 16-27
Gender Female, 54.2%
Disgusted 45%
Angry 45.9%
Sad 52.9%
Happy 45.1%
Calm 45.9%
Surprised 45%
Confused 45.1%

AWS Rekognition

Age 11-18
Gender Female, 51.3%
Calm 45.4%
Disgusted 45%
Sad 54.4%
Happy 45%
Surprised 45%
Angry 45.1%
Confused 45.1%

AWS Rekognition

Age 4-7
Gender Female, 50.3%
Calm 49.5%
Disgusted 49.5%
Angry 49.5%
Sad 50.4%
Surprised 49.5%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 6-13
Gender Female, 54.4%
Sad 52.2%
Calm 45.1%
Angry 46.8%
Happy 45.7%
Disgusted 45.1%
Confused 45.1%
Surprised 45.1%

AWS Rekognition

Age 30-47
Gender Female, 50%
Angry 49.9%
Sad 49.9%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 35-53
Gender Female, 50%
Disgusted 49.5%
Surprised 49.5%
Angry 49.5%
Happy 49.5%
Sad 50.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 11-18
Gender Female, 50.3%
Sad 49.7%
Calm 50.2%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Angry 49.5%

AWS Rekognition

Age 15-25
Gender Female, 54%
Happy 49.6%
Angry 45.6%
Calm 45.6%
Surprised 45.6%
Disgusted 45.4%
Sad 47.8%
Confused 45.4%

AWS Rekognition

Age 17-27
Gender Female, 50.2%
Sad 50.5%
Angry 49.5%
Calm 49.5%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 16-27
Gender Male, 52.6%
Happy 45.2%
Calm 45.7%
Disgusted 45.5%
Angry 45.6%
Surprised 45.2%
Sad 52.3%
Confused 45.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Sad 50.4%
Calm 49.5%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 4-9
Gender Female, 50.2%
Happy 49.5%
Angry 49.5%
Calm 49.5%
Sad 50.5%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Disgusted 49.5%
Angry 49.5%
Surprised 49.5%
Happy 49.9%
Sad 49.7%
Calm 49.9%
Confused 49.5%

AWS Rekognition

Age 10-15
Gender Male, 50%
Confused 49.5%
Sad 50.1%
Angry 49.8%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 10-15
Gender Female, 53.1%
Happy 47.4%
Angry 47.3%
Calm 45.9%
Surprised 45.4%
Disgusted 45.4%
Confused 45.4%
Sad 48.2%

AWS Rekognition

Age 14-23
Gender Female, 50.1%
Sad 49.6%
Confused 49.5%
Calm 49.9%
Angry 49.6%
Disgusted 49.5%
Happy 49.8%
Surprised 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Confused 49.5%
Surprised 49.5%
Happy 49.6%
Sad 50.3%
Disgusted 49.5%
Angry 49.6%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Disgusted 49.5%
Angry 49.5%
Sad 50.2%
Happy 49.6%
Calm 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 4-7
Gender Female, 50.1%
Angry 49.7%
Surprised 49.6%
Sad 49.8%
Disgusted 49.6%
Confused 49.6%
Happy 49.6%
Calm 49.6%

AWS Rekognition

Age 20-38
Gender Female, 53.7%
Calm 47.4%
Surprised 45.7%
Angry 45.9%
Disgusted 45.7%
Happy 48.5%
Confused 45.8%
Sad 45.9%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Angry 49.6%
Surprised 49.5%
Sad 50.3%
Confused 49.5%
Happy 49.6%
Calm 49.6%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Angry 45.6%
Calm 49%
Confused 45.7%
Happy 45.9%
Surprised 45.7%
Disgusted 45.4%
Sad 47.7%

AWS Rekognition

Age 26-44
Gender Female, 54.8%
Calm 48.8%
Sad 46.8%
Surprised 45.9%
Disgusted 45.4%
Angry 45.6%
Confused 46.5%
Happy 46.1%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Angry 49.5%
Sad 49.8%
Happy 49.8%
Disgusted 49.5%
Calm 49.8%
Surprised 49.5%
Confused 49.6%

Microsoft Cognitive Services

Age 1
Gender Female

Microsoft Cognitive Services

Age 2
Gender Male

Microsoft Cognitive Services

Age 3
Gender Male

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 99.4%
Painting 65.1%

Categories

Imagga

interior objects 97.5%

Text analysis

Amazon

ZEERBNSAMA

Google

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