Human Generated Data

Title

Social Settlements: United States. New York. New York City. "Nurses Settlement": The Nurses Settlement, New York City.: A Camp Group
Date

c. 1903
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, 3.2002.3191.1

Human Generated Data

Title

Social Settlements: United States. New York. New York City. "Nurses Settlement": The Nurses Settlement, New York City.: A Camp Group

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.3191.1

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Person 99.8
Human 99.8
Person 99.7
Person 99.3
Advertisement 99.3
Poster 99.3
Person 99.2
Person 99
Person 98.4
Person 98.4
Text 96.8
Person 95.8
Person 90.3
Person 90.2
Person 86.8
People 81
Person 80.7
Crowd 70.3
Camping 67.6
Leisure Activities 65.9
Person 65.6
Clothing 62.7
Apparel 62.7
Animal 62.6
Bird 62.6
Person 61.9
Bird 60.5
Person 60.1
Person 60
Transportation 58.6
Vehicle 55.4
Person 47.1

Clarifai
created on 2019-06-06

people 99.9
many 99.6
group 99.6
group together 97.5
adult 96
administration 93.3
military 91.8
crowd 91.7
leader 90.8
man 90.7
child 90.5
war 88.3
several 87.7
woman 85.9
wear 81.4
education 79.1
boy 75.6
spectator 73.3
recreation 72.6
school 71.7

Imagga
created on 2019-06-06

graffito 62.2
decoration 37.5
sand 28.4
military uniform 19
beach 18.5
travel 16.9
people 16.7
silhouette 16.6
uniform 16.5
man 16.1
clothing 16
ocean 15.8
landscape 14.9
sea 14.1
sky 14
tourism 14
summer 13.5
coast 13.5
earth 12.5
animal 12.2
water 12
world 12
sunset 11.7
mountain 11.6
black 11.4
rock 11.3
sport 11.1
clouds 11
male 10.6
sun 10.5
outdoors 9.7
men 9.4
covering 9.4
tourist 9.2
consumer goods 9.1
old 9.1
horizon 9
vacation 9
life 8.9
desert 8.8
stone 8.7
walking 8.5
adult 8.5
soil 8.4
dirty 8.1
symbol 8.1
group 8.1
history 8.1
to 8
scenic 7.9
person 7.8
grunge 7.7
outdoor 7.6
horse 7.6
sunrise 7.5
waves 7.4
island 7.3
danger 7.3
industrial 7.3
scenery 7.2

Google
created on 2019-06-06

Photograph 96.6
People 95.8
Social group 90.5
Snapshot 86.5
Photography 67.8
Adaptation 67
Room 65.7
History 64.5
Family 62
Vintage clothing 60.9
Paper product 55.7
Team 52.3
Crowd 50.7
Art 50.2

Microsoft
created on 2019-06-06

outdoor 98.9
person 98.7
clothing 96.9
posing 95.9
group 88.7
handwriting 82.3
standing 81.8
black 80.1
man 79.5
old 77.4
woman 75
people 74.2
white 60.8
team 25.7
crowd 3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 23-38
Gender Male, 54.9%
Angry 45.3%
Surprised 45.2%
Calm 52.4%
Happy 45.2%
Confused 45.1%
Disgusted 46.3%
Sad 45.4%

AWS Rekognition

Age 26-43
Gender Male, 54.2%
Angry 45.5%
Surprised 45.2%
Disgusted 45.5%
Calm 52.5%
Sad 45.9%
Happy 45.2%
Confused 45.2%

AWS Rekognition

Age 35-52
Gender Female, 52.6%
Calm 45%
Confused 45.1%
Happy 51.1%
Disgusted 45.1%
Angry 45.1%
Surprised 45.1%
Sad 48.4%

AWS Rekognition

Age 20-38
Gender Male, 53.9%
Surprised 45.3%
Happy 45.4%
Confused 45.4%
Calm 47.4%
Disgusted 45.7%
Sad 50.5%
Angry 45.4%

AWS Rekognition

Age 38-59
Gender Male, 52.9%
Confused 45.4%
Happy 45.4%
Sad 45.5%
Disgusted 50.6%
Angry 46.3%
Calm 46.1%
Surprised 45.7%

AWS Rekognition

Age 29-45
Gender Female, 50.7%
Sad 46.6%
Confused 45.3%
Surprised 45.7%
Happy 50.1%
Angry 45.8%
Disgusted 45.7%
Calm 45.8%

AWS Rekognition

Age 26-43
Gender Female, 50.9%
Calm 45.2%
Disgusted 45.2%
Happy 54.2%
Confused 45.1%
Surprised 45.1%
Sad 45.2%
Angry 45.1%

AWS Rekognition

Age 35-53
Gender Male, 50.1%
Confused 45%
Happy 45.1%
Surprised 45%
Calm 45.1%
Angry 45.1%
Sad 46.3%
Disgusted 53.3%

AWS Rekognition

Age 38-59
Gender Male, 54.6%
Calm 45.8%
Confused 45.2%
Happy 45.7%
Disgusted 45.3%
Angry 45.8%
Surprised 45.2%
Sad 52%

AWS Rekognition

Age 57-77
Gender Male, 51.5%
Angry 45.6%
Sad 45.6%
Calm 45.1%
Disgusted 53.4%
Happy 45.2%
Surprised 45%
Confused 45.1%

AWS Rekognition

Age 26-44
Gender Male, 52.6%
Angry 51.2%
Calm 46.5%
Sad 46.6%
Surprised 45.2%
Disgusted 45.2%
Happy 45.2%
Confused 45.1%

AWS Rekognition

Age 29-45
Gender Male, 50.6%
Calm 46.2%
Sad 52.6%
Confused 45.2%
Angry 45.3%
Disgusted 45.2%
Surprised 45.2%
Happy 45.2%

AWS Rekognition

Age 26-43
Gender Female, 54.9%
Calm 46.9%
Disgusted 47.8%
Surprised 46%
Angry 46%
Sad 46.4%
Confused 45.4%
Happy 46.6%

AWS Rekognition

Age 57-77
Gender Male, 53.7%
Disgusted 45.2%
Happy 45.1%
Angry 45.4%
Calm 53.9%
Surprised 45.1%
Confused 45%
Sad 45.2%

AWS Rekognition

Age 26-43
Gender Male, 51.8%
Angry 45.3%
Happy 47.5%
Calm 46.2%
Confused 45.2%
Sad 45.7%
Disgusted 49.9%
Surprised 45.2%

AWS Rekognition

Age 29-45
Gender Male, 53.3%
Calm 45.7%
Sad 47.1%
Surprised 45.2%
Angry 45.4%
Happy 45.2%
Confused 45.2%
Disgusted 51.1%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Confused 45.2%
Disgusted 45.6%
Sad 49.8%
Angry 45.5%
Surprised 45.5%
Happy 46.6%
Calm 46.7%

AWS Rekognition

Age 30-47
Gender Male, 51.6%
Calm 45%
Confused 45%
Happy 46.5%
Surprised 45%
Angry 45.1%
Disgusted 45.1%
Sad 53.3%

AWS Rekognition

Age 26-43
Gender Male, 53.2%
Angry 45.4%
Surprised 45.1%
Calm 45.6%
Happy 45.4%
Confused 45.2%
Disgusted 45.3%
Sad 53.1%

AWS Rekognition

Age 27-44
Gender Female, 54.3%
Sad 45.4%
Angry 45.1%
Disgusted 45%
Surprised 45.1%
Happy 45.1%
Calm 54.2%
Confused 45.1%

AWS Rekognition

Age 45-63
Gender Female, 50.2%
Angry 45.5%
Surprised 45.3%
Disgusted 45.4%
Sad 51.4%
Happy 45.8%
Confused 45.2%
Calm 46.4%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Sad 52.2%
Surprised 45.1%
Confused 45.2%
Angry 46.6%
Happy 45.2%
Calm 45.5%
Disgusted 45.3%

AWS Rekognition

Age 26-43
Gender Female, 53.3%
Calm 46.9%
Sad 48.1%
Confused 45.3%
Angry 47.6%
Disgusted 45.6%
Surprised 45.6%
Happy 45.9%

AWS Rekognition

Age 26-43
Gender Female, 51%
Sad 45.1%
Angry 45.2%
Disgusted 54%
Surprised 45.1%
Happy 45.4%
Calm 45.2%
Confused 45%

AWS Rekognition

Age 30-47
Gender Male, 52.8%
Happy 45.2%
Sad 45.3%
Disgusted 53.1%
Calm 45.6%
Surprised 45.1%
Confused 45.1%
Angry 45.6%

AWS Rekognition

Age 23-38
Gender Female, 51.9%
Calm 45.4%
Happy 45.2%
Sad 53.5%
Angry 45.3%
Disgusted 45.2%
Confused 45.1%
Surprised 45.2%

AWS Rekognition

Age 35-52
Gender Female, 50.6%
Surprised 45.6%
Sad 46.2%
Disgusted 45.3%
Happy 45.7%
Confused 45.1%
Calm 51.6%
Angry 45.4%

AWS Rekognition

Age 26-43
Gender Male, 51.8%
Calm 45.1%
Sad 54.7%
Confused 45%
Angry 45.1%
Disgusted 45%
Surprised 45%
Happy 45%

AWS Rekognition

Age 29-45
Gender Female, 51.9%
Confused 45.1%
Disgusted 45.3%
Angry 45.4%
Calm 52.7%
Sad 46.2%
Happy 45.1%
Surprised 45.2%

AWS Rekognition

Age 35-52
Gender Female, 54.7%
Confused 45.1%
Angry 45.3%
Disgusted 45.1%
Calm 45.2%
Happy 45.1%
Surprised 45.1%
Sad 54.1%

AWS Rekognition

Age 26-43
Gender Male, 51.7%
Angry 45.4%
Disgusted 46.7%
Surprised 45.2%
Calm 45.5%
Sad 50.7%
Happy 46.1%
Confused 45.4%

Feature analysis

Amazon

Person 99.8%
Poster 99.3%
Bird 62.6%

Categories

Imagga

streetview architecture 91.3%
paintings art 6.5%

Text analysis

Amazon

Group
A Ccmp Group
A
Ccmp

Google

A Camp Group
A
Camp
Group