Human Generated Data

Title

War: Germany. Berlin. Prussian Guard Regiment: Life in a Regiment of the Prussian Guard: Rifle-instruction.
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, 3.2002.3322.2

Human Generated Data

Title

War: Germany. Berlin. Prussian Guard Regiment: Life in a Regiment of the Prussian Guard: Rifle-instruction.

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, 3.2002.3322.2

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Human 99.5
Person 99.5
Person 99.2
Person 98.9
Person 98.6
Person 98.4
Person 98.1
Person 97.7
Person 97.7
Person 97.2
Room 95.4
Indoors 95.4
Person 93.3
Person 86.1
Person 85.8
Clinic 84.3
Flooring 81.4
Person 77.2
Wood 73.8
Floor 67.5
Person 64.9
People 63.9
Prison 61.7
Art 60.3
Painting 60.3
Court 59.7
Sailor Suit 58.3
Person 55.2
Person 52.7

Clarifai
created on 2019-06-05

people 99.9
group 99
many 98.7
adult 98.6
group together 97.4
man 95.6
room 94
woman 93.5
military 92.4
wear 91.6
several 90.5
administration 89.8
war 89.7
furniture 89.7
indoors 88
chair 85
uniform 85
home 79.3
leader 78.5
soldier 78.4

Imagga
created on 2019-06-05

room 60.7
interior 60.1
furniture 40.9
table 38.6
chair 34.3
house 32.7
home 30.3
luxury 27.4
decor 27.4
floor 24.2
design 23.1
restaurant 22.8
lamp 22.3
architecture 21.9
indoors 20.2
comfortable 20.1
hotel 20.1
window 19.4
wood 19.2
modern 18.9
decoration 18.8
indoor 18.3
style 17.8
bedroom 17.7
hall 17.5
living 17.1
chairs 16.6
inside 16.6
residential 16.3
hospital 16
bed 15
glass 14.9
wooden 14.1
light 14
wall 14
seat 13.8
sofa 13.8
elegant 13.7
shop 13.1
empty 12.9
elegance 12.6
classroom 12.5
apartment 12.5
dining 12.4
life 11.1
relax 11
dinner 10.9
vase 10.6
old 10.5
contemporary 10.3
food 10.3
relaxation 10
structure 9.8
panel 9.8
carpet 9.7
classic 9.3
antique 9.2
building 9.1
chandelier 9
people 8.9
tables 8.9
residence 8.8
pillow 8.7
comfort 8.7
lifestyle 8.7
party 8.6
decorate 8.6
space 8.5
flower 8.5
domestic 8.5
eat 8.4
kitchen 8.4
frame 8.3
banquet 7.9
dining room 7.9
love 7.9
rug 7.9
couch 7.7
lighting 7.7
lunch 7.7
expensive 7.7
estate 7.6
lifestyles 7.6
desk 7.6
drink 7.5
place 7.4
women 7.1
night 7.1
tile 7.1
travel 7

Google
created on 2019-06-05

Room 65.7

Microsoft
created on 2019-06-05

person 96.7
clothing 95.1
floor 94.2
indoor 87.8
man 59.3
furniture 55.3
old 51.9
clothes 23.7
several 11.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 30-47
Gender Male, 54.8%
Sad 46.6%
Surprised 45.5%
Happy 45.9%
Disgusted 45.5%
Angry 48.4%
Calm 47.6%
Confused 45.5%

AWS Rekognition

Age 35-52
Gender Male, 54.4%
Calm 50.9%
Angry 45.7%
Disgusted 45.1%
Sad 47.5%
Surprised 45.3%
Happy 45.2%
Confused 45.4%

AWS Rekognition

Age 35-52
Gender Male, 53.7%
Happy 45.1%
Disgusted 45.1%
Confused 45.1%
Surprised 45.1%
Sad 47.2%
Angry 45.1%
Calm 52.3%

AWS Rekognition

Age 45-63
Gender Male, 50.5%
Happy 49.5%
Surprised 49.5%
Angry 49.6%
Sad 49.6%
Confused 49.6%
Disgusted 49.6%
Calm 50.1%

AWS Rekognition

Age 45-66
Gender Male, 53.7%
Sad 54.5%
Disgusted 45.1%
Angry 45.2%
Surprised 45%
Calm 45%
Confused 45.1%
Happy 45.1%

AWS Rekognition

Age 45-63
Gender Male, 53.4%
Confused 45.1%
Happy 45.2%
Angry 45.2%
Sad 45.2%
Calm 53.8%
Disgusted 45.1%
Surprised 45.4%

AWS Rekognition

Age 35-52
Gender Male, 54.2%
Sad 46.2%
Surprised 45.4%
Disgusted 47.6%
Calm 49.2%
Happy 45.3%
Confused 45.3%
Angry 45.9%

AWS Rekognition

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

AWS Rekognition

Age 38-57
Gender Female, 50.2%
Surprised 49.5%
Sad 49.5%
Angry 49.6%
Disgusted 50.2%
Calm 49.6%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 38-59
Gender Male, 50.5%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Calm 49.7%
Disgusted 49.6%
Angry 49.5%
Sad 50.2%

AWS Rekognition

Age 48-68
Gender Male, 51.6%
Happy 45.2%
Disgusted 45.7%
Confused 45.1%
Surprised 45.2%
Sad 45.5%
Angry 45.2%
Calm 53.1%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Sad 49.9%
Angry 49.6%
Calm 49.6%
Happy 49.6%
Disgusted 49.6%
Confused 49.5%
Surprised 49.7%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Calm 49.5%
Sad 50.3%
Surprised 49.5%
Happy 49.7%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Male, 50.2%
Calm 45.5%
Confused 45.5%
Angry 47.7%
Surprised 45.5%
Disgusted 47.8%
Sad 47.3%
Happy 45.8%

AWS Rekognition

Age 38-57
Gender Female, 51.9%
Disgusted 45.4%
Confused 45.1%
Happy 45.5%
Calm 53.2%
Surprised 45.2%
Sad 45.3%
Angry 45.2%

AWS Rekognition

Age 38-57
Gender Female, 50.4%
Angry 49.5%
Calm 49.5%
Sad 50.1%
Confused 49.5%
Disgusted 49.6%
Happy 49.7%
Surprised 49.5%

Feature analysis

Amazon

Person 99.5%
Painting 60.3%

Categories

Imagga

interior objects 98.8%

Text analysis

Amazon

19a

Google

18ee TO
18ee
TO