Human Generated Data

Title

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

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, 3.2002.3316.1

Human Generated Data

Title

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

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, 3.2002.3316.1

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Human 97.3
Person 97.3
Person 95.4
Person 95
Building 93.5
Person 91.2
Person 88.7
Person 85.1
Factory 83.3
Person 82.8
Person 81.3
Musical Instrument 72.4
Room 71.1
Indoors 71.1
Machine 68.2
People 62.7
Leisure Activities 61.8
Crowd 59.8

Clarifai
created on 2019-06-05

people 99.9
many 98.7
group together 98
adult 97.8
furniture 97.8
group 97.5
chair 96.7
room 95.9
military 95.1
administration 95
man 94.7
leader 94.2
indoors 92.5
war 90.6
woman 84.5
several 83.6
seat 83.5
sit 81.1
wear 81.1
education 79.7

Imagga
created on 2019-06-05

room 77.2
interior 68.1
table 56.6
chair 53.5
furniture 49
hall 37.7
decor 34.5
house 33.4
restaurant 33.1
home 31.9
classroom 27.7
dining 27.6
modern 26
design 25.3
wood 25
chairs 24.5
window 24.2
luxury 24
floor 23.3
indoor 22.8
glass 20.8
seat 20.5
architecture 20.3
inside 20.3
dinner 20.2
indoors 20.2
style 20
living 19.9
sofa 19.4
lamp 18.3
decoration 17.6
wooden 17.6
apartment 17.3
building 16.3
residential 16.3
comfortable 15.3
food 15.2
eat 15.1
structure 14.6
hotel 14.3
tables 13.8
empty 13.8
light 13.4
drink 13.4
lunch 13
anteroom 12.9
elegant 12.9
kitchen 12.6
plant 11.9
relax 11.8
couch 11.6
wall 11.4
contemporary 11.3
fireplace 11.3
bar 11.1
day 11
elegance 10.9
nobody 10.9
rug 10.9
carpet 10.7
school 10.3
dining room 9.9
vase 9.9
chandelier 9.8
decorate 9.5
party 9.5
place 9.3
service 9.3
relaxation 9.2
traditional 9.2
banquet 9
residence 8.8
lighting 8.7
setting 8.7
expensive 8.6
decorated 8.6
estate 8.6
flower 8.5
wine 8.4
domestic 8.1
cafeteria 8.1
cabinet 8.1
breakfast 8
life 7.9
stool 7.9
stove 7.9
urban 7.9
tableware 7.9
living room 7.8
tile 7.8
flowers 7.8
lounge 7.8
space 7.8
3d 7.7
classic 7.4
meal 7.3
lifestyle 7.2

Google
created on 2019-06-05

Room 87.3
Classroom 71.3
Furniture 70.7
Table 63.8
Class 59.1
Chair 57.9
Interior design 54.3
Building 50.8

Microsoft
created on 2019-06-05

indoor 92.9
furniture 92.9
table 90.7
person 90.7
clothing 78.6
chair 63.4
house 51.1
man 50.1
old 44.9
several 10.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 51.3%
Confused 45.3%
Disgusted 46.8%
Calm 46%
Angry 46%
Happy 49.9%
Surprised 45.5%
Sad 45.5%

AWS Rekognition

Age 10-15
Gender Female, 54.2%
Surprised 45.6%
Angry 45.4%
Disgusted 45.6%
Sad 48.5%
Happy 46.3%
Confused 45.6%
Calm 48%

AWS Rekognition

Age 14-23
Gender Male, 52.9%
Surprised 46.3%
Sad 47.2%
Angry 45.8%
Disgusted 49.1%
Calm 45.4%
Happy 45.8%
Confused 45.5%

AWS Rekognition

Age 14-23
Gender Male, 54.2%
Disgusted 48.5%
Surprised 45.7%
Happy 45.5%
Calm 47.8%
Angry 45.8%
Sad 46.1%
Confused 45.5%

AWS Rekognition

Age 16-27
Gender Male, 53.4%
Surprised 45.2%
Disgusted 45.2%
Confused 45.3%
Sad 52.3%
Calm 46.7%
Happy 45.1%
Angry 45.2%

AWS Rekognition

Age 26-43
Gender Male, 51.7%
Sad 49.3%
Confused 45.5%
Happy 45.6%
Surprised 45.6%
Disgusted 47%
Angry 46.6%
Calm 45.4%

AWS Rekognition

Age 26-43
Gender Female, 53.2%
Disgusted 45%
Calm 45.1%
Confused 45%
Surprised 45%
Happy 45.1%
Angry 45.1%
Sad 54.7%

AWS Rekognition

Age 48-68
Gender Female, 50.4%
Surprised 49.5%
Calm 49.8%
Happy 49.6%
Sad 50%
Confused 49.5%
Angry 49.6%
Disgusted 49.6%

AWS Rekognition

Age 27-44
Gender Male, 50.1%
Calm 49.7%
Sad 49.9%
Disgusted 49.7%
Happy 49.5%
Surprised 49.5%
Angry 49.7%
Confused 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Disgusted 49.6%
Surprised 49.5%
Happy 49.5%
Calm 50.1%
Angry 49.6%
Sad 49.7%
Confused 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Happy 49.6%
Calm 49.8%
Confused 49.6%
Angry 49.7%
Disgusted 49.6%
Sad 49.6%
Surprised 49.6%

Feature analysis

Amazon

Person 97.3%

Categories

Text analysis

Google

1698
1698