Human Generated Data

Title

natural. A conversation with Joseph Beuys [part]
Date

1985
People

Artist: Bernhard Johannes Blume, German 1937 - 2011
Classification

Prints
Credit Line

Harvard Art Museums/Busch-Reisinger Museum, Gift of Anna and Bernhard Blume, 1996.14.I

Human Generated Data

Title

natural. A conversation with Joseph Beuys [part]

People

Artist: Bernhard Johannes Blume, German 1937 - 2011

Date

1985

Classification

Prints

Credit Line

Harvard Art Museums/Busch-Reisinger Museum, Gift of Anna and Bernhard Blume, 1996.14.I

Machine Generated Data

Tags

Amazon
created on 2022-06-04

Interior Design 99.5
Indoors 99.5
Room 97
Person 94.6
Human 94.6
Person 93.6
Person 92
Person 88.8
Crowd 85.9
Person 83.4
Person 83
Person 82
Person 79.3
Furniture 78.3
Table 78.2
Person 75.8
Person 71.4
Person 69.8
Advertisement 66.6
People 65.8
Person 65.8
Poster 60.8
Court 60.4
Face 59.1
Theater 58.8
Audience 57.8
Suit 56.8
Clothing 56.8
Coat 56.8
Overcoat 56.8
Apparel 56.8

Clarifai
created on 2023-10-29

people 99.9
many 98.3
group 97.9
adult 97.2
man 95.6
administration 94.7
furniture 94.5
group together 94
war 92.2
indoors 91.5
woman 90.7
monochrome 87.9
wear 87.4
several 87.1
transportation system 86.8
sit 86.3
desk 86
vehicle 85
education 83.1
child 82.8

Imagga
created on 2022-06-04

television 61.1
telecommunication system 28.1
man 24.9
monitor 22.1
broadcasting 21.6
male 20.5
black 20.4
laptop 19.3
business 18.8
office 17
businessman 16.8
computer 16.8
people 16.7
telecommunication 16.1
equipment 13.3
education 13
electronic equipment 12.5
person 12.4
silhouette 12.4
classroom 11.6
blackboard 11.3
modern 11.2
indoor 10.9
board 10.8
medium 10.7
happy 10.6
desk 10.5
smiling 10.1
school 10
room 9.8
chalkboard 9.8
art 9.7
old 9.7
technology 9.6
class 9.6
couple 9.6
work 9.4
team 8.9
screen 8.9
group 8.9
sitting 8.6
child 8.3
window 8.2
working 7.9
lifestyle 7.9
love 7.9
design 7.9
building 7.8
happiness 7.8
tie 7.7
corporate 7.7
finance 7.6
communication 7.5
meeting 7.5
digital 7.3
student 7.2
color 7.2
looking 7.2
table 7.2
home 7.2
life 7.1
women 7.1
information 7.1
indoors 7

Google
created on 2022-06-04

Font 83.4
Suit 80.9
Monochrome photography 73.4
Rectangle 73
Monochrome 71.9
Event 70.7
Display device 70.1
Table 67.3
Advertising 67.2
Room 61.8
Art 59.3
History 56.5
Photo caption 55.5
Photographic paper 54.5
Team 53.8
Visual arts 52.9
Indoor games and sports 52.4
Conversation 51.8
Chair 50.8

Microsoft
created on 2022-06-04

text 98.6
person 92.5
clothing 84.5
man 82
black and white 73.1
people 65.5
old 52.5
dish 43.2

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 28-38
Gender Male, 100%
Happy 99.3%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Angry 0.5%
Disgusted 0%
Confused 0%
Calm 0%

AWS Rekognition

Age 23-33
Gender Male, 79.1%
Happy 99.4%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Calm 0.2%
Disgusted 0.1%
Angry 0.1%
Confused 0%

AWS Rekognition

Age 18-26
Gender Male, 99.3%
Calm 77.4%
Surprised 9.8%
Fear 7.9%
Confused 5.5%
Sad 3.3%
Happy 1.3%
Angry 1.3%
Disgusted 1.2%

AWS Rekognition

Age 23-33
Gender Male, 91.2%
Happy 95.8%
Surprised 6.5%
Fear 6%
Sad 2.6%
Calm 1.3%
Angry 0.5%
Disgusted 0.3%
Confused 0.1%

AWS Rekognition

Age 41-49
Gender Female, 99%
Disgusted 78.4%
Surprised 13.9%
Fear 6.5%
Happy 3.8%
Sad 3.1%
Angry 1.9%
Calm 0.8%
Confused 0.7%

AWS Rekognition

Age 18-26
Gender Female, 93.7%
Fear 50.9%
Confused 33.5%
Surprised 9.7%
Sad 5.8%
Calm 4%
Angry 3.3%
Disgusted 3.2%
Happy 1.4%

AWS Rekognition

Age 21-29
Gender Male, 98.3%
Fear 54.4%
Surprised 20%
Calm 14%
Happy 13.5%
Confused 8.4%
Sad 2.6%
Disgusted 2.4%
Angry 1%

AWS Rekognition

Age 22-30
Gender Female, 96.5%
Happy 99.3%
Surprised 6.3%
Fear 6%
Sad 2.2%
Angry 0.1%
Calm 0%
Disgusted 0%
Confused 0%

AWS Rekognition

Age 22-30
Gender Male, 99.4%
Fear 26.2%
Surprised 19.3%
Disgusted 18.9%
Happy 12.4%
Calm 9.5%
Sad 6.7%
Confused 5.5%
Angry 4.7%

AWS Rekognition

Age 20-28
Gender Male, 91.7%
Confused 66.2%
Sad 22.9%
Surprised 7.1%
Fear 6.4%
Disgusted 4.9%
Happy 4.2%
Calm 2.7%
Angry 0.7%

AWS Rekognition

Age 25-35
Gender Male, 99.5%
Calm 68.4%
Sad 53.4%
Surprised 6.5%
Fear 6%
Confused 2%
Angry 0.5%
Disgusted 0.4%
Happy 0.2%

AWS Rekognition

Age 22-30
Gender Male, 97.8%
Calm 53.5%
Happy 27.4%
Surprised 7.9%
Fear 6.7%
Disgusted 5.2%
Sad 4%
Angry 2.5%
Confused 1.9%

AWS Rekognition

Age 23-33
Gender Male, 99.4%
Happy 75.2%
Surprised 8.9%
Fear 8.9%
Calm 3.9%
Disgusted 3.4%
Confused 2.9%
Sad 2.9%
Angry 1.4%

AWS Rekognition

Age 27-37
Gender Male, 51.7%
Calm 50.1%
Fear 20.8%
Surprised 7.7%
Confused 7.2%
Happy 6.7%
Angry 5.8%
Disgusted 3.4%
Sad 3.2%

AWS Rekognition

Age 21-29
Gender Male, 87.4%
Fear 97.8%
Surprised 6.3%
Sad 2.2%
Calm 1.3%
Angry 0.4%
Happy 0.2%
Disgusted 0.1%
Confused 0.1%

AWS Rekognition

Age 25-35
Gender Female, 72.3%
Surprised 41.7%
Fear 25%
Disgusted 15.8%
Angry 10.3%
Sad 8.8%
Calm 6.5%
Confused 3%
Happy 1.5%

AWS Rekognition

Age 31-41
Gender Female, 68.8%
Calm 38.4%
Sad 32.7%
Confused 16.1%
Fear 9.9%
Surprised 7.7%
Disgusted 6.1%
Angry 4.5%
Happy 2.2%

AWS Rekognition

Age 22-30
Gender Male, 87.4%
Fear 97.7%
Surprised 6.3%
Sad 2.2%
Happy 0.8%
Calm 0.5%
Disgusted 0.4%
Angry 0.3%
Confused 0.1%

AWS Rekognition

Age 24-34
Gender Female, 100%
Sad 63.1%
Disgusted 28.6%
Confused 20.7%
Happy 9.8%
Surprised 8.3%
Fear 6.4%
Angry 3.4%
Calm 2%

AWS Rekognition

Age 29-39
Gender Male, 87.1%
Calm 49.1%
Happy 19.7%
Sad 19.7%
Surprised 7%
Fear 6.9%
Disgusted 4.6%
Angry 4.4%
Confused 1.4%

AWS Rekognition

Age 40-48
Gender Male, 98.3%
Angry 51.3%
Sad 16.9%
Fear 15.4%
Surprised 7.9%
Happy 6%
Disgusted 5.5%
Calm 1.6%
Confused 1.1%

AWS Rekognition

Age 26-36
Gender Female, 61.7%
Calm 47.5%
Happy 18.1%
Confused 11.4%
Sad 10.8%
Fear 7.1%
Surprised 7%
Disgusted 3.9%
Angry 2.6%

AWS Rekognition

Age 12-20
Gender Female, 98.9%
Sad 61.4%
Fear 38.7%
Calm 16.5%
Surprised 10%
Angry 4.6%
Happy 3.1%
Confused 2.8%
Disgusted 2.7%

AWS Rekognition

Age 7-17
Gender Male, 87.4%
Fear 73.8%
Calm 29.7%
Surprised 6.6%
Confused 4.8%
Happy 4.2%
Sad 3.3%
Angry 0.5%
Disgusted 0.4%

AWS Rekognition

Age 14-22
Gender Male, 93%
Sad 99.3%
Calm 18.5%
Fear 8.5%
Angry 7.4%
Surprised 6.6%
Happy 3.6%
Disgusted 2.1%
Confused 0.9%

AWS Rekognition

Age 12-20
Gender Male, 55.5%
Calm 98.9%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0.4%
Disgusted 0.1%
Angry 0.1%
Confused 0%

AWS Rekognition

Age 20-28
Gender Female, 99.7%
Fear 96.7%
Surprised 6.6%
Happy 3.8%
Sad 2.5%
Calm 1.2%
Angry 0.7%
Disgusted 0.5%
Confused 0.3%

AWS Rekognition

Age 28-38
Gender Male, 99.4%
Fear 78.4%
Angry 11.5%
Happy 8.7%
Surprised 8.5%
Disgusted 5.8%
Sad 4.4%
Confused 2.6%
Calm 1.7%

Google Vision

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

Google Vision

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

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 likely

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Likely
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 likely

Google Vision

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

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 Likely
Headwear Unlikely
Blurred Very unlikely

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear 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
Person 94.6%
Person 93.6%
Person 92%
Person 88.8%
Person 83.4%
Person 83%
Person 82%
Person 79.3%
Person 75.8%
Person 71.4%
Person 69.8%
Person 65.8%

Text analysis

Amazon

Blume
wie
wir
das
lachend
Stüttgen:
dem
dem Blume das nur klar?
Blume:
also
klar?
Johannes Stüttgen:
9
Johannes
machen
nur
zu
Lebeuesen!
Blume: Lebeuesen?
Beuys lachend zu
Ja. wie machen wir
ES sind also Lebeuesen!
Lebeuesen?
sind
ES
Beuys
Ja.

Google

Es sind also Lebewesen! Blume: Lebewesen? Beuys lachend zu Johannes Stüttgen: Ja, wie machen wir dem Blume das nur klar? 9
Es
sind
also
Lebewesen
!
Blume
:
?
Beuys
lachend
zu
Johannes
Stüttgen
Ja
,
wie
machen
wir
dem
das
nur
klar
9