Human Generated Data

Title

Untitled (clergymen and choir boys walking up town church steps as public watches)

Date

c. 1955-1960

People

Artist: Claseman Studio, American 20th century

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.11072

Human Generated Data

Title

Untitled (clergymen and choir boys walking up town church steps as public watches)

People

Artist: Claseman Studio, American 20th century

Date

c. 1955-1960

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.11072

Machine Generated Data

Tags

Amazon
created on 2019-03-25

Person 99.6
Human 99.6
Person 94.1
Person 93.5
Person 92.5
Person 92.2
Clothing 89.3
Apparel 89.3
Person 85.9
Person 84.5
Dance Pose 83.1
Leisure Activities 83.1
Floor 77.2
Indoors 70.5
Shorts 69.8
People 69.6
Crowd 68.9
Photo 66.2
Photography 66.2
Portrait 66.2
Face 66.2
Person 64.2
Meal 64.1
Food 64.1
Chair 60.7
Furniture 60.7
Dance 59.6
Pedestrian 58.7
Room 57.6
Coat 57.2
Suit 57.2
Overcoat 57.2
Person 57.1
Stage 56
Sport 55.9
Sports 55.9
Person 45.3

Clarifai
created on 2019-03-25

people 99.9
group 99.2
many 99.2
group together 99
child 97.7
woman 96.9
man 96.5
adult 95.4
crowd 94.9
wear 92.2
audience 90.8
boy 87.7
recreation 87.5
spectator 83.2
administration 82.2
music 80.5
dancing 80.2
outfit 78.9
several 78.6
war 78.1

Imagga
created on 2019-03-25

photographer 34.2
people 30.6
man 29.5
business 29.1
group 28.2
male 24.1
meeting 23.5
businessman 22
team 21.5
office 20.7
men 19.7
teamwork 19.4
person 18.2
work 18
corporate 18
spectator 16.1
happy 15.6
businesswoman 15.4
silhouette 14.9
entrepreneur 14.8
communication 14.3
black 14
together 14
executive 14
adult 14
success 13.7
table 13
professional 12.8
working 12.4
businesspeople 12.3
manager 12.1
women 11.8
suit 11
building 11
indoor 10.9
colleagues 10.7
job 10.6
indoors 10.5
hands 10.4
laptop 10
worker 9.9
hand 9.9
conference 9.8
computer 9.6
passenger 9.5
sitting 9.4
successful 9.1
discussion 8.7
light 8.7
lifestyle 8.7
crowd 8.6
clothing 8.6
boss 8.6
smile 8.5
desk 8.5
modern 8.4
presentation 8.4
stage 8.2
groom 8.1
handsome 8
couple 7.8
standing 7.8
audience 7.8
glass 7.8
party 7.7
cooperation 7.7
leadership 7.7
two 7.6
career 7.6
fun 7.5
city 7.5
world 7.3
smiling 7.2
teacher 7.2
celebration 7.2
portrait 7.1
night 7.1
interior 7.1
day 7.1
happiness 7

Google
created on 2019-03-25

Microsoft
created on 2019-03-25

person 87.3
people 76.2
crowd 41.4
black and white 41.4
monochrome 19.3
building 13.4
music 12.3
art 8.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Happy 49.6%
Confused 49.5%
Calm 49.7%
Sad 50.1%
Disgusted 49.5%
Angry 49.6%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Angry 49.6%
Calm 49.6%
Happy 49.6%
Confused 49.5%
Disgusted 49.7%
Surprised 49.6%
Sad 49.9%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Confused 49.5%
Sad 50.5%
Angry 49.5%
Happy 49.5%
Calm 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-44
Gender Female, 50.1%
Surprised 49.6%
Happy 49.6%
Calm 49.9%
Sad 49.6%
Angry 49.6%
Disgusted 49.5%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Disgusted 49.6%
Calm 49.9%
Sad 49.6%
Confused 49.6%
Happy 49.6%
Surprised 49.6%
Angry 49.6%

AWS Rekognition

Age 10-15
Gender Female, 50.5%
Confused 49.5%
Happy 49.6%
Angry 49.5%
Disgusted 49.9%
Sad 49.6%
Calm 49.7%
Surprised 49.5%

AWS Rekognition

Age 14-23
Gender Female, 50%
Sad 49.7%
Calm 49.6%
Happy 49.6%
Surprised 49.6%
Disgusted 49.6%
Confused 49.5%
Angry 49.8%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Disgusted 49.6%
Confused 49.5%
Surprised 49.6%
Angry 49.6%
Happy 49.6%
Sad 49.7%
Calm 50%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Happy 49.6%
Sad 49.9%
Surprised 49.5%
Disgusted 49.5%
Angry 49.5%
Calm 49.9%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Confused 49.5%
Angry 49.6%
Surprised 49.5%
Sad 49.7%
Happy 49.6%
Calm 50%
Disgusted 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Happy 49.5%
Angry 49.5%
Sad 50%
Confused 49.5%
Disgusted 49.5%
Calm 49.9%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Angry 49.6%
Calm 49.7%
Happy 49.6%
Surprised 49.6%
Sad 49.6%
Disgusted 49.9%
Confused 49.5%

AWS Rekognition

Age 16-27
Gender Male, 50.1%
Sad 49.7%
Disgusted 49.8%
Angry 49.8%
Calm 49.5%
Surprised 49.6%
Confused 49.5%
Happy 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Surprised 49.6%
Confused 49.6%
Calm 49.6%
Disgusted 49.6%
Angry 49.7%
Happy 49.8%
Sad 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Angry 49.6%
Happy 49.5%
Sad 50%
Confused 49.5%
Disgusted 49.6%
Calm 49.7%
Surprised 49.5%

AWS Rekognition

Age 9-14
Gender Male, 50.4%
Calm 49.5%
Sad 50.1%
Confused 49.6%
Disgusted 49.7%
Angry 49.5%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Happy 49.5%
Sad 50.1%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%
Calm 49.7%
Confused 49.6%

Feature analysis

Amazon

Person 99.6%