Human Generated Data

Title

Gummlin, Usedom, Mecklenburg-Vorpommern, Germany
Date

Spring 1976
People

Artist: Sibylle Bergemann, German 1941 - 2010
Classification

Photographs
Credit Line

Harvard Art Museums/Busch-Reisinger Museum, Gift of the German Friends of the Busch-Reisinger Museum, 2021.619.2
Copyright

© Estate Sibylle Bergemann / OSTKREUZ

Human Generated Data

Title

Gummlin, Usedom, Mecklenburg-Vorpommern, Germany

People

Artist: Sibylle Bergemann, German 1941 - 2010

Date

Spring 1976

Classification

Photographs

Credit Line

Harvard Art Museums/Busch-Reisinger Museum, Gift of the German Friends of the Busch-Reisinger Museum, 2021.619.2

Copyright

© Estate Sibylle Bergemann / OSTKREUZ

Machine Generated Data

Tags

Amazon
created on 2023-04-27

Person 98.3
Person 98.2
Person 97.8
Person 97.8
Person 97.7
Person 97.6
Person 97.5
Person 97.2
Person 97.2
Person 97
Person 96.3
Person 96
Person 95.9
Person 95.8
Person 95.8
Person 95.7
Person 95.6
Person 95.5
Person 95.3
Person 95
Person 94.8
Person 94.6
Person 94.4
Machine 93.8
Wheel 93.8
Person 93.7
Adult 93.7
Male 93.7
Man 93.7
Person 93.5
Person 93.4
Face 91.2
Head 91.2
Wheel 87.6
Wheel 87.3
Person 86.3
Person 86.2
Person 85.7
Wheel 84.8
Wheel 84.1
Wheel 84
Wheel 80.2
Person 77.7
Clothing 77.6
Formal Wear 77.6
Suit 77.6
Person 77
Art 57.8
Painting 57.8
Computer Hardware 57.7
Electronics 57.7
Hardware 57.7
Electrical Device 57.5
Pump 57.4
Gas Pump 56
Photo Booth 55.6
Architecture 55.5
Building 55.5
Wall 55.5
Factory 55.2
Manufacturing 55.2

Clarifai
created on 2023-10-13

people 99.9
group 99.2
adult 98.8
group together 98.1
many 97.6
man 96.3
illustration 94.4
monochrome 94.1
wear 93.4
vehicle 92.5
street 92.1
administration 91.2
several 91
military 90.3
war 88.8
leader 86.6
transportation system 84.8
art 82.9
soldier 82.5
outfit 81.6

Imagga
created on 2023-04-27

graffito 100
decoration 83.7
hockey stick 29.4
stick 23.3
grunge 21.3
old 19.5
sports equipment 17.6
snow 17.2
equipment 16.2
winter 14.5
black 13.8
vintage 12.4
drawing 11.4
urban 11.4
sign 11.3
texture 11.1
design 10.7
retro 10.6
wall 10.3
season 10.1
dirty 9.9
textured 9.6
empty 9.4
paint 9
pattern 8.9
sketch 8.8
cold 8.6
travel 8.4
dark 8.3
outdoors 8.2
style 8.2
transportation 8.1
light 8
building 7.9
business 7.9
art 7.8
antique 7.8
space 7.8
tree 7.7
outdoor 7.6
old fashioned 7.6
frame 7.5
city 7.5
ice 7.4
street 7.4
rough 7.3
trees 7.1

Google
created on 2023-04-27

Black-and-white 83.8
Font 81.8
Art 76.6
Monochrome 72.8
Monochrome photography 70.3
Event 67.7
Visual arts 65.9
Room 65.5
Stock photography 62.9
Audio equipment 62.4
Metal 60
Illustration 57.2
History 56.8
Crew 56.4
Drawing 55.1
Painting 54.3
Team 54
Machine 53.7
Rectangle 52.3
Still life photography 50.2

Microsoft
created on 2023-04-27

drawing 97.9
cartoon 97.4
text 94.2
black and white 91.9
sketch 88.1
art 85.8
outdoor 85.6
old 72.1
person 68.4
monochrome 60.5
posing 47.8

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 60-70
Gender Male, 100%
Calm 96.8%
Surprised 6.3%
Fear 5.9%
Sad 2.6%
Confused 0.5%
Angry 0.5%
Disgusted 0.3%
Happy 0.1%

AWS Rekognition

Age 48-56
Gender Male, 80.5%
Calm 88.5%
Surprised 8.5%
Fear 7.4%
Sad 2.3%
Confused 1.9%
Angry 0.9%
Disgusted 0.5%
Happy 0.2%

AWS Rekognition

Age 37-45
Gender Male, 100%
Calm 53.4%
Confused 44.8%
Surprised 6.8%
Fear 5.9%
Sad 2.2%
Disgusted 0.2%
Angry 0.2%
Happy 0.1%

AWS Rekognition

Age 54-62
Gender Male, 100%
Calm 68%
Angry 14.7%
Disgusted 12.7%
Surprised 6.7%
Fear 6.1%
Sad 2.5%
Confused 1.8%
Happy 0.3%

AWS Rekognition

Age 31-41
Gender Male, 100%
Calm 98.2%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Angry 0.8%
Confused 0.2%
Disgusted 0.1%
Happy 0.1%

AWS Rekognition

Age 54-62
Gender Female, 72%
Calm 97.6%
Surprised 6.3%
Fear 5.9%
Sad 2.5%
Happy 0.7%
Angry 0.2%
Disgusted 0.1%
Confused 0.1%

AWS Rekognition

Age 33-41
Gender Male, 99.7%
Calm 91.2%
Surprised 6.5%
Fear 6%
Angry 3%
Sad 2.8%
Happy 2.1%
Confused 1%
Disgusted 0.2%

AWS Rekognition

Age 45-53
Gender Male, 99.7%
Sad 100%
Surprised 6.3%
Fear 6%
Calm 2.4%
Confused 0.7%
Angry 0.1%
Disgusted 0.1%
Happy 0.1%

AWS Rekognition

Age 34-42
Gender Male, 95.1%
Fear 91.9%
Surprised 7.4%
Sad 6.8%
Angry 4%
Calm 3.8%
Confused 3.5%
Disgusted 0.4%
Happy 0.2%

AWS Rekognition

Age 48-56
Gender Male, 100%
Fear 48%
Calm 46%
Surprised 7.2%
Happy 4.4%
Sad 3.8%
Angry 1.5%
Confused 1.3%
Disgusted 0.9%

AWS Rekognition

Age 31-41
Gender Male, 99.8%
Calm 65.6%
Sad 43.5%
Fear 6.9%
Surprised 6.5%
Confused 2.5%
Angry 2.5%
Disgusted 1%
Happy 0.5%

AWS Rekognition

Age 31-41
Gender Male, 100%
Calm 76%
Angry 21.2%
Surprised 6.4%
Fear 6%
Sad 2.6%
Confused 0.6%
Happy 0.2%
Disgusted 0.1%

AWS Rekognition

Age 52-60
Gender Male, 100%
Calm 66.6%
Happy 20%
Surprised 6.8%
Confused 6.4%
Fear 6.1%
Sad 2.9%
Angry 2.7%
Disgusted 0.8%

AWS Rekognition

Age 28-38
Gender Male, 91.6%
Angry 31.5%
Confused 29.3%
Surprised 17.4%
Calm 16.3%
Fear 8.2%
Sad 2.6%
Disgusted 1.9%
Happy 0.9%

AWS Rekognition

Age 33-41
Gender Male, 69.5%
Calm 63.2%
Angry 14.6%
Confused 9.3%
Surprised 9.2%
Fear 7.3%
Sad 3.1%
Disgusted 1.6%
Happy 0.5%

AWS Rekognition

Age 34-42
Gender Male, 99.5%
Calm 29.9%
Confused 28.2%
Surprised 21.9%
Angry 12.9%
Fear 7.2%
Disgusted 4.6%
Sad 3.3%
Happy 1.3%

AWS Rekognition

Age 28-38
Gender Male, 99.9%
Calm 82.4%
Fear 9.6%
Surprised 6.6%
Sad 3.7%
Confused 2.1%
Angry 1.8%
Disgusted 0.7%
Happy 0.4%

AWS Rekognition

Age 39-47
Gender Male, 99.8%
Calm 64.4%
Angry 12.4%
Confused 9.6%
Surprised 7%
Fear 6.8%
Sad 6.2%
Happy 1.4%
Disgusted 0.6%

AWS Rekognition

Age 19-27
Gender Male, 86.6%
Calm 92.9%
Surprised 7%
Fear 6%
Sad 2.8%
Confused 1.4%
Angry 1.2%
Happy 0.6%
Disgusted 0.3%

AWS Rekognition

Age 23-33
Gender Male, 100%
Calm 91.5%
Surprised 6.6%
Fear 6.4%
Sad 3.2%
Confused 2.5%
Angry 0.4%
Disgusted 0.4%
Happy 0.2%

AWS Rekognition

Age 37-45
Gender Male, 100%
Angry 71.9%
Calm 17.8%
Surprised 6.6%
Fear 6%
Confused 5.6%
Sad 2.6%
Happy 2.2%
Disgusted 0.4%

AWS Rekognition

Age 26-36
Gender Male, 68.7%
Calm 64.3%
Surprised 31.9%
Fear 7.1%
Sad 3.3%
Angry 2.7%
Confused 2.2%
Disgusted 1.4%
Happy 0.8%

Microsoft Cognitive Services

Age 69
Gender Male

Microsoft Cognitive Services

Age 53
Gender Male

Microsoft Cognitive Services

Age 48
Gender Male

Microsoft Cognitive Services

Age 54
Gender Male

Microsoft Cognitive Services

Age 53
Gender Male

Microsoft Cognitive Services

Age 54
Gender Male

Microsoft Cognitive Services

Age 58
Gender Male

Microsoft Cognitive Services

Age 57
Gender Male

Microsoft Cognitive Services

Age 59
Gender Male

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Possible
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 98.3%
Wheel 93.8%
Adult 93.7%
Male 93.7%
Man 93.7%
Suit 77.6%

Categories

Imagga

paintings art 96.4%
text visuals 3.4%

Text analysis

Amazon

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bilte nicht rauchen
bilte

Google

RACER bitte nicht rauchen A
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rauchen
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