Human Generated Data

Title

War: Germany. Berlin. Prussian Guard Regiment: Life in a Regiment of the Prussian Guard: Rations

Date

c. 1903

People

Artist: Waldemar Franz Herman Titzenthaler, German 1869 - 1937

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.3321.1

Human Generated Data

Title

War: Germany. Berlin. Prussian Guard Regiment: Life in a Regiment of the Prussian Guard: Rations

People

Artist: Waldemar Franz Herman Titzenthaler, German 1869 - 1937

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.3321.1

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Human 98.9
Person 98.9
Person 98.4
Person 97.7
Person 97.6
Person 96.6
Person 94.9
Person 94.8
Person 94.4
Person 92.7
Person 91.2
Building 89.5
Person 88.8
Flooring 88.5
Restaurant 86.2
Cafeteria 86.2
Person 81.5
Floor 75.2
Clinic 65.3
Apparel 63.7
Clothing 63.7
Shorts 63.7
Person 62.4
Factory 59.8
Person 58.6
Person 56.8

Clarifai
created on 2019-06-05

people 99.9
group 99.1
adult 98.8
group together 98.7
many 97.8
man 95.7
several 94.8
wear 94.4
military 93.6
uniform 91.1
woman 89.5
war 89.3
administration 87.9
indoors 87.4
room 85.1
education 82.7
watercraft 81.4
vehicle 80.7
one 80.6
leader 79.5

Imagga
created on 2019-06-05

teacher 67.8
educator 54.8
professional 41
adult 35.4
person 33.4
people 30.6
man 20.8
women 19.8
dancer 16.9
male 16.3
dress 15.3
life 14.9
men 14.6
room 14.5
weapon 14.2
performer 14
happy 13.8
interior 13.3
lifestyle 13
two 12.7
couple 12.2
group 12.1
human 12
health 11.8
portrait 11.6
student 11.6
bow 11.6
business 11.5
bride 11.5
wedding 11
worker 10.8
entertainer 10.6
fashion 10.5
indoors 10.5
standing 10.4
clothing 10.3
groom 10.3
love 10.2
work 10.2
day 10.2
travel 9.9
team 9.8
activity 9.8
pretty 9.8
old 9.7
wall 9.4
happiness 9.4
clothes 9.4
casual 9.3
hall 9.1
indoor 9.1
nurse 9
looking 8.8
together 8.8
scene 8.6
married 8.6
elegance 8.4
hand 8.3
church 8.3
businesswoman 8.2
new 8.1
smiling 8
hair 7.9
model 7.8
sitting 7.7
uniform 7.7
modern 7.7
attractive 7.7
youth 7.7
marriage 7.6
city 7.5
lady 7.3
exercise 7.3
tourist 7.2
active 7.2
home 7.2
holiday 7.2
instrument 7
architecture 7

Google
created on 2019-06-05

Microsoft
created on 2019-06-05

person 96.6
wall 96.3
clothing 96
indoor 91.1
man 82.7
old 56.4
cooking 21.7
several 11

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 20-38
Gender Female, 54%
Disgusted 46.2%
Surprised 45.4%
Angry 46.4%
Confused 45.3%
Sad 49.7%
Calm 46.2%
Happy 45.7%

AWS Rekognition

Age 35-52
Gender Male, 53.8%
Surprised 45.6%
Happy 45.6%
Confused 45.4%
Calm 48.7%
Disgusted 47.5%
Angry 46.2%
Sad 46.1%

AWS Rekognition

Age 15-25
Gender Male, 52.8%
Disgusted 46.5%
Confused 45.3%
Angry 45.5%
Sad 45.4%
Surprised 45.6%
Happy 46.9%
Calm 49.9%

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Disgusted 49.7%
Confused 49.6%
Angry 49.6%
Calm 49.6%
Surprised 49.6%
Happy 49.7%
Sad 49.8%

AWS Rekognition

Age 26-43
Gender Male, 54.5%
Surprised 45.3%
Confused 45.2%
Happy 45.3%
Angry 45.3%
Calm 52.1%
Sad 45.3%
Disgusted 46.6%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Happy 49.6%
Disgusted 49.6%
Sad 49.7%
Confused 49.5%
Angry 49.6%
Surprised 49.6%
Calm 49.9%

AWS Rekognition

Age 30-47
Gender Female, 50.2%
Calm 49.6%
Confused 49.5%
Sad 49.5%
Surprised 49.5%
Happy 49.5%
Disgusted 50.3%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Disgusted 49.6%
Calm 49.7%
Angry 49.7%
Sad 49.7%
Happy 49.5%
Surprised 49.6%
Confused 49.7%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Confused 49.6%
Calm 49.9%
Happy 49.6%
Surprised 49.6%
Sad 49.7%
Angry 49.6%
Disgusted 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.5%
Sad 49.8%
Disgusted 49.7%
Surprised 49.6%
Happy 49.7%
Confused 49.6%
Angry 49.6%
Calm 49.7%

AWS Rekognition

Age 14-23
Gender Male, 50.5%
Disgusted 49.6%
Confused 49.6%
Angry 49.6%
Happy 49.6%
Calm 49.7%
Surprised 49.6%
Sad 49.8%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Calm 49.8%
Angry 49.5%
Disgusted 49.6%
Sad 49.7%
Surprised 49.6%
Happy 49.6%
Confused 49.8%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Disgusted 49.6%
Happy 49.6%
Surprised 49.5%
Angry 49.6%
Confused 49.5%
Calm 50%
Sad 49.7%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Disgusted 49.6%
Surprised 49.6%
Angry 49.6%
Confused 49.5%
Sad 49.6%
Calm 49.6%
Happy 50%

AWS Rekognition

Age 23-38
Gender Male, 50.4%
Happy 49.5%
Calm 49.9%
Confused 49.6%
Angry 49.7%
Disgusted 49.6%
Sad 49.6%
Surprised 49.6%

AWS Rekognition

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

Feature analysis

Amazon

Person 98.9%

Categories

Text analysis

Amazon

18L98
2LL,