Human Generated Data

Title

Social Settlements: United States. New York. New York City. "Nurses' Settlement": The Nurses Settlement, New York City.: The Miriam Festival. Given during the season of the Passover, 1906.: Processional chorus of priests and people.
Date

1906
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, 3.2002.218.1

Human Generated Data

Title

Social Settlements: United States. New York. New York City. "Nurses' Settlement": The Nurses Settlement, New York City.: The Miriam Festival. Given during the season of the Passover, 1906.: Processional chorus of priests and people.

People

Artist: Unidentified Artist,

Date

1906

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.218.1

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Person 99.3
Human 99.3
Person 98.6
Person 98.5
Person 98.5
Person 97
Indoors 96.4
Interior Design 96.4
Stage 95.5
Person 95.3
Person 95
Crowd 94
Person 93.1
Person 90.6
Person 85.6
Person 84.3
Room 84.1
Painting 81.2
Art 81.2
Person 79.7
Chair 78.2
Furniture 78.2
Person 78.1
Person 77.7
Person 77.4
Person 75.5
Person 75.2
Audience 74.4
Theater 69.8
People 69.3
Person 68.6
Leisure Activities 64.2
Musical Instrument 62.9
Musician 62.9
Concert 55.5
Person 55.2

Clarifai
created on 2019-06-05

people 100
many 100
group 99.8
group together 98.3
leader 97.7
adult 97.6
crowd 96.5
wear 95.9
administration 95
chair 94.9
man 94
furniture 92.2
military 91.5
several 91.1
audience 89.9
woman 88.8
music 87.1
print 84.6
ceremony 82.1
spectator 80.6

Imagga
created on 2019-06-05

stage 50.8
platform 40.3
teacher 31.3
people 25.1
person 24.1
blackboard 22.6
man 21.5
male 19.8
educator 18.7
classroom 18.1
businessman 17.6
business 17.6
old 17.4
room 17
professional 16.4
student 15.9
silhouette 14.9
men 14.6
black 13.2
education 13
group 12.9
adult 12.3
school 11.8
night 11.5
office 11.4
drawing 11.2
graphic 10.9
board 10.8
diagram 10.5
success 10.5
women 10.3
vintage 9.9
hand 9.9
financial 9.8
sign 9.8
boy 9.6
chart 9.6
work 9.4
grunge 9.4
two 9.3
portrait 9.1
retro 9
design 9
art 8.8
light 8.8
happy 8.8
crowd 8.6
finance 8.4
occupation 8.2
copy space 8.1
team 8.1
chalkboard 7.8
teaching 7.8
graph 7.7
human 7.5
child 7.5
lights 7.4
symbol 7.4
smiling 7.2
lifestyle 7.2
history 7.1
idea 7.1
market 7.1
job 7.1
interior 7.1
growth 7
architecture 7
sky 7

Google
created on 2019-06-05

Photograph 96.8
Snapshot 87.6
Room 74.4
Adaptation 67
Art 65.5
Photography 62.4
Stock photography 59.4

Microsoft
created on 2019-06-05

person 96.4
old 96.3
black 89.2
white 71.7
people 66.9
clothing 62.2
vintage 41.2
altar 15.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

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

AWS Rekognition

Age 38-59
Gender Female, 50.4%
Happy 50%
Sad 49.7%
Surprised 49.5%
Angry 49.5%
Calm 49.8%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 48-68
Gender Female, 50.5%
Happy 49.5%
Sad 50.4%
Surprised 49.5%
Angry 49.5%
Calm 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Surprised 49.5%
Disgusted 49.5%
Angry 49.5%
Sad 50%
Happy 49.5%
Confused 49.5%
Calm 49.8%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Disgusted 49.6%
Sad 50.3%
Calm 49.5%
Surprised 49.5%
Angry 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 38-57
Gender Female, 50.3%
Angry 49.5%
Confused 49.6%
Calm 49.8%
Disgusted 49.5%
Happy 49.5%
Surprised 49.6%
Sad 50%

AWS Rekognition

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

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Happy 49.6%
Sad 50.2%
Confused 49.5%
Calm 49.6%
Angry 49.5%
Disgusted 49.6%
Surprised 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.5%
Angry 49.6%
Happy 49.6%
Calm 49.8%
Confused 49.5%
Sad 50%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Sad 49.8%
Angry 49.6%
Disgusted 49.6%
Surprised 49.6%
Happy 49.5%
Calm 49.8%
Confused 49.6%

AWS Rekognition

Age 12-22
Gender Female, 50.5%
Calm 49.5%
Surprised 49.5%
Happy 49.5%
Disgusted 49.5%
Angry 49.5%
Sad 50.4%
Confused 49.5%

AWS Rekognition

Age 10-15
Gender Female, 50.4%
Happy 49.7%
Disgusted 49.5%
Sad 49.9%
Surprised 49.5%
Confused 49.5%
Calm 49.8%
Angry 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.3%
Surprised 49.5%
Angry 49.6%
Sad 49.9%
Happy 49.6%
Disgusted 49.8%
Calm 49.6%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Angry 49.5%
Confused 49.5%
Calm 49.6%
Disgusted 49.5%
Happy 49.9%
Surprised 49.5%
Sad 49.9%

AWS Rekognition

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

AWS Rekognition

Age 45-65
Gender Female, 50.1%
Calm 49.5%
Angry 49.5%
Happy 49.5%
Sad 50.3%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Happy 49.8%
Sad 49.6%
Angry 49.6%
Surprised 49.5%
Calm 49.9%
Confused 49.6%
Disgusted 49.6%

AWS Rekognition

Age 14-23
Gender Female, 50.1%
Sad 49.9%
Angry 49.6%
Confused 49.6%
Happy 49.5%
Disgusted 49.6%
Surprised 49.6%
Calm 49.7%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Calm 50.2%
Disgusted 49.6%
Surprised 49.5%
Confused 49.5%
Angry 49.5%
Sad 49.6%
Happy 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.2%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%
Sad 50.5%
Angry 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.2%
Calm 49.8%
Disgusted 49.5%
Angry 49.6%
Happy 49.6%
Sad 49.9%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Angry 49.6%
Happy 49.6%
Calm 49.7%
Confused 49.5%
Sad 50%
Disgusted 49.6%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50%
Confused 49.5%
Disgusted 49.6%
Surprised 49.5%
Sad 50.1%
Angry 49.6%
Happy 49.5%
Calm 49.6%

AWS Rekognition

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

AWS Rekognition

Age 6-13
Gender Female, 50.5%
Angry 49.5%
Calm 49.5%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Sad 50.4%
Confused 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.4%
Happy 49.6%
Sad 49.9%
Disgusted 49.6%
Calm 49.6%
Surprised 49.6%
Confused 49.6%
Angry 49.7%

Feature analysis

Amazon

Person 99.3%
Painting 81.2%
Chair 78.2%

Categories

Imagga

cars vehicles 91.4%
beaches seaside 2.9%
paintings art 1.8%
text visuals 1.3%
nature landscape 1.1%

Text analysis

Amazon

and
of
Frocessional
chorus
Frocessional chorus of priest and people.
people.
priest

Google

Processional chorus of priests and people
Processional
chorus
of
priests
and
people