Human Generated Data

Title

Health, General: Germany. Berlin. Municipal Slaughter House: Municipal Slaughter House: Berlin.

Date

1897

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, 3.2002.9.2

Human Generated Data

Title

Health, General: Germany. Berlin. Municipal Slaughter House: Municipal Slaughter House: Berlin.

People

Artist: Waldemar Franz Herman Titzenthaler, German 1869 - 1937

Date

1897

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.9.2

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Person 99.5
Human 99.5
Person 99
Shop 98
Butcher Shop 98
Person 97.6
Person 96.7
Person 96.5
Person 94.9
Person 92.3
Person 89.6
Person 79
Painting 78.6
Art 78.6
Clinic 77.3
Person 76.9
Person 74.2

Clarifai
created on 2019-06-04

people 100
group 99.6
many 99.3
group together 98.7
adult 98.4
man 97
military 95.4
war 93.8
several 92.6
vehicle 91.3
administration 91
transportation system 88
wear 87.7
watercraft 86.7
woman 84.2
soldier 84.2
furniture 81.8
child 75.1
four 75
leader 74.1

Imagga
created on 2019-06-04

interior 33.6
table 31.3
room 31.1
chair 30.7
furniture 28.2
glass 23.4
wood 20.8
house 19.2
seat 18.5
restaurant 17.8
decor 16.8
home 15.9
hall 15.8
wooden 15.8
comfortable 15.3
floor 14.9
luxury 14.6
empty 14
wall 13.8
window 13.7
hospital 13.4
style 13.3
architecture 13.3
old 12.5
hotel 12.4
lamp 12.4
modern 11.9
design 11.8
dinner 11.8
decoration 11.7
indoor 10.9
vintage 10.9
space 10.8
antique 10.2
light 10
sofa 9.6
residential 9.6
elegance 9.2
relaxation 9.2
wine 8.8
indoors 8.8
urban 8.7
comfort 8.7
scene 8.6
life 8.6
dining 8.6
living 8.5
travel 8.4
relax 8.4
building 8.4
drink 8.3
city 8.3
pillow 8.2
metal 8
night 8
celebration 8
lifestyle 7.9
food 7.9
chairs 7.8
lunch 7.7
apartment 7.7
furnishing 7.6
eat 7.5
clean 7.5
traditional 7.5
people 7.2
art 7.2
pantie 7.2
bedroom 7.1
armchair 7.1

Google
created on 2019-06-04

Snapshot 84.1
Butcher 73.3
Stock photography 68.5
Meat 54.6

Microsoft
created on 2019-06-04

furniture 98.4
person 97.3
clothing 94.8
table 93.7
chair 89.3
man 89.2
group 84.1
old 69.4
footwear 57.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 38-59
Gender Male, 53.7%
Sad 54.9%
Surprised 45%
Calm 45%
Happy 45%
Disgusted 45%
Confused 45%
Angry 45%

AWS Rekognition

Age 35-52
Gender Male, 53%
Confused 45.5%
Angry 46.3%
Surprised 45.7%
Sad 45.6%
Disgusted 48.6%
Calm 47.5%
Happy 45.8%

AWS Rekognition

Age 26-43
Gender Female, 52.7%
Disgusted 45.1%
Calm 45.2%
Happy 45.1%
Angry 53.1%
Sad 46.5%
Confused 45%
Surprised 45.1%

AWS Rekognition

Age 35-53
Gender Female, 53.8%
Angry 46%
Calm 48.3%
Sad 46.2%
Disgusted 46.8%
Happy 46.1%
Confused 46.2%
Surprised 45.4%

AWS Rekognition

Age 26-43
Gender Female, 52.2%
Angry 51.1%
Sad 46.2%
Disgusted 45.4%
Happy 45.6%
Calm 45.7%
Confused 45.4%
Surprised 45.7%

AWS Rekognition

Age 48-68
Gender Male, 50.1%
Confused 49.6%
Sad 50%
Angry 49.6%
Disgusted 49.6%
Calm 49.7%
Surprised 49.5%
Happy 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Calm 50.1%
Sad 49.7%
Surprised 49.5%
Confused 49.5%
Angry 49.5%
Disgusted 49.5%
Happy 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50%
Sad 49.9%
Disgusted 49.6%
Confused 49.6%
Calm 49.7%
Happy 49.7%
Surprised 49.5%
Angry 49.6%

AWS Rekognition

Age 12-22
Gender Male, 54.8%
Disgusted 46.1%
Happy 45.1%
Sad 53.3%
Angry 45.2%
Calm 45.1%
Confused 45.1%
Surprised 45.1%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Surprised 49.6%
Confused 49.6%
Happy 49.6%
Angry 49.6%
Disgusted 49.6%
Sad 49.9%
Calm 49.8%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Sad 49.6%
Confused 49.5%
Disgusted 49.5%
Happy 49.7%
Angry 49.5%
Calm 50.1%
Surprised 49.5%

Feature analysis

Amazon

Person 99.5%
Painting 78.6%

Categories