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.B

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.B

Machine Generated Data

Tags

Amazon
created on 2022-06-04

Interior Design 99.4
Indoors 99.4
Human 98
Person 98
Person 97.8
Person 97.4
Person 97.2
Poster 96.4
Advertisement 96.4
Person 95.7
Person 95.5
Person 95.4
Person 92.7
Person 89.8
Room 88.7
Person 88
Person 87.4
Person 82.7
Furniture 80.8
Person 78.9
Text 77.3
Person 76.8
Person 74.6
Person 74.3
Flyer 73.1
Brochure 73.1
Paper 73.1
Table 70.2
Person 68.3
Person 68
Collage 64.9
Crowd 64.5
Person 63.1
Performer 62.5
Person 57.9
Theater 56.5
Funeral 55.7
Person 55.7
Person 51.8

Clarifai
created on 2023-10-29

people 100
many 99.4
group 98.8
adult 98.7
administration 98.2
group together 98.1
vehicle 97.4
man 95.7
aircraft 95.2
woman 93.9
several 92.2
watercraft 90.6
crowd 90.3
one 89.8
war 89.6
military 89.3
leader 89
wear 89
child 86.9
audience 86.7

Imagga
created on 2022-06-04

web site 96
newspaper 26.6
man 19.5
product 19
silhouette 17.4
water 16
business 15.2
people 15
black 15
creation 15
old 13.9
male 13.5
office 12.2
person 11.2
boat 11.2
sky 10.8
travel 10.6
vintage 9.9
transportation 9.9
modern 9.8
landscape 9.7
leisure 9.1
ocean 9.1
mail 8.6
sitting 8.6
money 8.5
outdoor 8.4
retro 8.2
vacation 8.2
aged 8.1
financial 8
world 8
businessman 7.9
postmark 7.9
postage 7.9
postal 7.8
couple 7.8
stamp 7.7
men 7.7
finance 7.6
relax 7.6
daily 7.6
laptop 7.5
outdoors 7.5
tourism 7.4
style 7.4
symbol 7.4
letter 7.3
transport 7.3
sunset 7.2
history 7.1
day 7.1
paper 7.1
sea 7

Google
created on 2022-06-04

Black 89.6
Font 82.5
Newspaper 82.5
Adaptation 79.3
Publication 75.5
Snapshot 74.3
News 71.3
Art 68.9
History 66
Monochrome photography 65
Event 64.4
Paper product 62.4
Advertising 60.5
Room 60.5
Newsprint 59.5
Paper 58.4
Rectangle 57.3
Visual arts 54.1
Photo caption 53
Monochrome 52.2

Microsoft
created on 2022-06-04

text 99.6
newspaper 81.3
people 72

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 28-38
Gender Male, 100%
Angry 53%
Calm 38%
Fear 6.8%
Surprised 6.4%
Sad 4%
Happy 0.9%
Confused 0.6%
Disgusted 0.3%

AWS Rekognition

Age 27-37
Gender Male, 99.7%
Calm 49%
Surprised 11.1%
Angry 10.7%
Disgusted 8.6%
Sad 8.5%
Confused 8.2%
Fear 6.4%
Happy 4.7%

AWS Rekognition

Age 42-50
Gender Female, 99.8%
Confused 33.4%
Calm 26.9%
Surprised 17.5%
Happy 9.5%
Fear 6.5%
Sad 5.7%
Disgusted 4.1%
Angry 3.9%

AWS Rekognition

Age 23-31
Gender Male, 99.9%
Calm 99.2%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Angry 0.5%
Disgusted 0%
Happy 0%
Confused 0%

AWS Rekognition

Age 36-44
Gender Female, 100%
Calm 99.9%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0%
Confused 0%
Angry 0%
Disgusted 0%

AWS Rekognition

Age 26-36
Gender Male, 99.9%
Calm 44.3%
Disgusted 27.6%
Confused 8.3%
Surprised 7.7%
Sad 7.1%
Fear 6.2%
Angry 4%
Happy 3.7%

AWS Rekognition

Age 21-29
Gender Male, 99.9%
Sad 99.9%
Calm 14.2%
Surprised 7.8%
Angry 6.1%
Fear 6%
Confused 1.7%
Disgusted 0.5%
Happy 0.2%

AWS Rekognition

Age 25-35
Gender Male, 97.4%
Calm 46.5%
Confused 21.1%
Sad 9.6%
Surprised 8.9%
Happy 8.8%
Fear 6.7%
Angry 3.3%
Disgusted 2.8%

AWS Rekognition

Age 18-24
Gender Male, 100%
Calm 41.5%
Disgusted 23.6%
Confused 15.7%
Surprised 8.5%
Fear 7.2%
Happy 5.4%
Angry 3.4%
Sad 3.4%

AWS Rekognition

Age 23-33
Gender Female, 90.8%
Sad 87.5%
Calm 15.8%
Happy 14.2%
Surprised 11.7%
Disgusted 9.1%
Fear 7.4%
Angry 6%
Confused 3%

AWS Rekognition

Age 20-28
Gender Female, 79.6%
Calm 56.6%
Confused 33.2%
Fear 8.5%
Surprised 7%
Sad 2.4%
Happy 1%
Disgusted 0.6%
Angry 0.4%

AWS Rekognition

Age 23-33
Gender Male, 100%
Calm 85.7%
Surprised 11.2%
Fear 6.2%
Sad 2.3%
Confused 2.1%
Angry 2.1%
Disgusted 1.1%
Happy 0.5%

AWS Rekognition

Age 23-33
Gender Male, 99.9%
Calm 89.9%
Surprised 6.9%
Fear 6.1%
Confused 3.7%
Sad 2.7%
Disgusted 2%
Happy 0.4%
Angry 0.4%

AWS Rekognition

Age 29-39
Gender Male, 96.1%
Calm 58%
Fear 26.6%
Confused 8.3%
Surprised 6.6%
Sad 4.1%
Disgusted 1%
Angry 0.7%
Happy 0.4%

AWS Rekognition

Age 37-45
Gender Male, 100%
Happy 69.1%
Calm 14.1%
Surprised 7.5%
Fear 6.6%
Disgusted 4.8%
Confused 4.6%
Sad 2.8%
Angry 1.4%

AWS Rekognition

Age 57-65
Gender Male, 100%
Sad 96.9%
Fear 30%
Calm 7.9%
Surprised 7.8%
Confused 5.2%
Disgusted 2.6%
Angry 1.4%
Happy 0.6%

AWS Rekognition

Age 45-51
Gender Female, 99.6%
Calm 89%
Sad 7.8%
Surprised 6.3%
Fear 5.9%
Happy 0.5%
Angry 0.3%
Confused 0.3%
Disgusted 0.3%

AWS Rekognition

Age 23-33
Gender Male, 52.8%
Calm 75.3%
Confused 17.5%
Surprised 6.5%
Fear 6%
Sad 3.8%
Disgusted 1.1%
Angry 1%
Happy 0.1%

AWS Rekognition

Age 23-33
Gender Male, 99.6%
Confused 54.2%
Calm 36.3%
Fear 8%
Surprised 7.1%
Sad 2.6%
Disgusted 0.8%
Happy 0.5%
Angry 0.3%

AWS Rekognition

Age 19-27
Gender Male, 99.9%
Calm 66.4%
Surprised 28.1%
Confused 7.4%
Fear 6.2%
Sad 2.9%
Angry 1%
Disgusted 0.8%
Happy 0.7%

AWS Rekognition

Age 23-33
Gender Male, 81.4%
Sad 92.7%
Fear 44.8%
Calm 15%
Surprised 6.4%
Confused 0.9%
Disgusted 0.4%
Angry 0.4%
Happy 0.2%

AWS Rekognition

Age 16-24
Gender Female, 94.7%
Sad 100%
Confused 8.3%
Surprised 6.3%
Fear 6%
Calm 2.5%
Happy 0.2%
Disgusted 0.2%
Angry 0.1%

AWS Rekognition

Age 30-40
Gender Female, 99.6%
Fear 86.7%
Sad 27.6%
Surprised 6.7%
Happy 4.1%
Disgusted 2.4%
Calm 1.8%
Angry 1.4%
Confused 0.2%

AWS Rekognition

Age 33-41
Gender Male, 78.6%
Calm 32.6%
Happy 28.5%
Angry 15.5%
Sad 10.2%
Surprised 8.4%
Fear 6.2%
Disgusted 3.7%
Confused 3.5%

AWS Rekognition

Age 23-31
Gender Female, 99%
Calm 41.5%
Happy 18.3%
Surprised 15.7%
Fear 15.4%
Sad 3.6%
Confused 3.1%
Disgusted 2.9%
Angry 2.6%

AWS Rekognition

Age 20-28
Gender Female, 67.4%
Calm 92.5%
Surprised 6.5%
Fear 6.2%
Sad 2.6%
Confused 2.1%
Angry 1.7%
Happy 0.7%
Disgusted 0.4%

AWS Rekognition

Age 22-30
Gender Male, 74.9%
Sad 100%
Fear 6.7%
Angry 6.6%
Surprised 6.4%
Disgusted 1.5%
Calm 1.3%
Confused 0.5%
Happy 0.1%

AWS Rekognition

Age 37-45
Gender Female, 99.8%
Sad 100%
Surprised 6.3%
Fear 6.1%
Confused 0.1%
Disgusted 0.1%
Calm 0.1%
Angry 0.1%
Happy 0%

AWS Rekognition

Age 36-44
Gender Male, 94.4%
Happy 99.5%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Calm 0.2%
Disgusted 0.1%
Confused 0%
Angry 0%

AWS Rekognition

Age 31-41
Gender Female, 98.5%
Sad 100%
Fear 6.5%
Surprised 6.3%
Happy 0.7%
Calm 0.2%
Angry 0.2%
Confused 0.2%
Disgusted 0.1%

AWS Rekognition

Age 19-27
Gender Male, 91.3%
Fear 97%
Surprised 6.9%
Calm 3.4%
Sad 2.6%
Happy 0.2%
Disgusted 0.2%
Angry 0.1%
Confused 0.1%

AWS Rekognition

Age 23-31
Gender Female, 78.4%
Sad 98.9%
Calm 23.1%
Fear 11.2%
Surprised 6.9%
Confused 2.2%
Angry 2%
Disgusted 2%
Happy 0.6%

AWS Rekognition

Age 20-28
Gender Female, 55%
Fear 80.9%
Calm 17%
Surprised 7.6%
Disgusted 6.5%
Angry 4.4%
Confused 3%
Sad 2.8%
Happy 1.9%

AWS Rekognition

Age 14-22
Gender Male, 97.6%
Sad 100%
Angry 6.7%
Fear 6.4%
Surprised 6.4%
Calm 4.5%
Confused 1%
Disgusted 0.7%
Happy 0.3%

AWS Rekognition

Age 16-24
Gender Male, 99.9%
Calm 46.6%
Happy 30.7%
Angry 12.7%
Surprised 7.4%
Fear 6.5%
Sad 3.5%
Confused 1.7%
Disgusted 0.9%

AWS Rekognition

Age 22-30
Gender Female, 58.7%
Sad 100%
Surprised 6.4%
Fear 6%
Disgusted 5.5%
Calm 2.8%
Confused 1%
Happy 0.5%
Angry 0.3%

AWS Rekognition

Age 18-26
Gender Female, 66.4%
Surprised 84.1%
Fear 56%
Calm 2.6%
Sad 2.3%
Confused 0.7%
Happy 0.2%
Angry 0.2%
Disgusted 0.1%

AWS Rekognition

Age 20-28
Gender Female, 93.6%
Calm 78.7%
Sad 8.1%
Surprised 7.1%
Fear 7%
Confused 5.6%
Disgusted 0.8%
Happy 0.4%
Angry 0.3%

AWS Rekognition

Age 18-26
Gender Male, 91.7%
Sad 100%
Surprised 6.3%
Fear 6.1%
Calm 0.1%
Confused 0.1%
Angry 0.1%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 21-29
Gender Male, 95%
Fear 98%
Surprised 6.3%
Sad 2.2%
Calm 0.1%
Disgusted 0.1%
Confused 0.1%
Angry 0.1%
Happy 0%

AWS Rekognition

Age 24-34
Gender Male, 100%
Sad 98.1%
Calm 21.1%
Confused 19.3%
Surprised 6.6%
Fear 6.3%
Happy 1.3%
Disgusted 1%
Angry 0.9%

AWS Rekognition

Age 21-29
Gender Female, 75.2%
Calm 95.7%
Surprised 6.4%
Fear 5.9%
Sad 3.3%
Happy 0.5%
Angry 0.2%
Disgusted 0.1%
Confused 0.1%

AWS Rekognition

Age 21-29
Gender Male, 74.4%
Fear 62.6%
Calm 24.5%
Surprised 9.9%
Angry 4.5%
Happy 4.3%
Confused 4%
Sad 3.8%
Disgusted 3.8%

AWS Rekognition

Age 22-30
Gender Female, 99.8%
Sad 100%
Surprised 7.1%
Fear 6.3%
Calm 5.7%
Disgusted 2.3%
Confused 1.9%
Angry 1.6%
Happy 0.8%

AWS Rekognition

Age 16-24
Gender Female, 58.9%
Calm 93.8%
Surprised 6.4%
Fear 6%
Sad 3.3%
Angry 1.7%
Happy 0.4%
Disgusted 0.3%
Confused 0.2%

AWS Rekognition

Age 25-35
Gender Female, 85.4%
Surprised 91.9%
Confused 33.1%
Fear 7.5%
Happy 2.5%
Sad 2.2%
Calm 0.3%
Disgusted 0.2%
Angry 0.2%

AWS Rekognition

Age 20-28
Gender Female, 70.8%
Fear 86%
Surprised 12.8%
Sad 12.3%
Happy 2.9%
Confused 2.7%
Calm 1.5%
Disgusted 1.4%
Angry 1.1%

AWS Rekognition

Age 24-34
Gender Male, 99.1%
Calm 92.5%
Surprised 6.4%
Fear 5.9%
Sad 4%
Confused 1.5%
Happy 0.5%
Disgusted 0.4%
Angry 0.2%

AWS Rekognition

Age 22-30
Gender Male, 99.9%
Fear 79.2%
Angry 16.9%
Surprised 7.9%
Happy 7.6%
Sad 4.7%
Calm 3.6%
Confused 1.3%
Disgusted 0.7%

AWS Rekognition

Age 20-28
Gender Male, 74.8%
Calm 97.7%
Surprised 6.3%
Fear 6%
Sad 2.5%
Disgusted 0.3%
Angry 0.3%
Confused 0.1%
Happy 0.1%

AWS Rekognition

Age 54-62
Gender Male, 94.4%
Calm 76.6%
Happy 17.9%
Surprised 6.5%
Fear 6%
Sad 3.2%
Confused 1.1%
Disgusted 0.5%
Angry 0.3%

AWS Rekognition

Age 12-20
Gender Female, 79.4%
Fear 88.6%
Calm 12.4%
Surprised 7.8%
Sad 6.3%
Angry 2.4%
Happy 1.4%
Confused 1%
Disgusted 0.5%

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 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 Likely

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

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred 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 Likely
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%
Poster 96.4%

Categories

Imagga

text visuals 98.7%

Text analysis

Amazon

ist
zum
auf
du
um
sondern
wir
aber
die
ich
ein
der
bin
das
kann
Das
2
aber du
in die wir
Frage.
Da
sondern zugleich
bin ich auch selbst
autonomie
Beuys: Nein, aber das
begreifen
Du
du nur mal begreifen
terte
mal
selbst
eine
wenn
Ja
Nein,
auch
haben. Aber wenn ich
nicht
sich
Aber
Den
in
Es
zugleich
dein
Blume:
Das Kreuz kann dabei
den
Beuys:
habe
Blume: Den Schritt der
bist nicht
Blume: Ja sicher,
handelt
haben.
Richtig.
Kreuz
Natur
sich um eine erwei-
bist
Du willst den Schritt
sicher,
willst
nur
zum Beispiel.
mußt
terte Fragestellung,
Beuys: Richtig. Es handelt
dabei
über
nicht tun...
die Arme ausbreite,
Schritt
erwei-
Beuys: Das ist dein Problem.
Fragestellung,
auch in dir, das mußt
ausbreite,
hinweisen,
die Opferrolle
tun...
Arme
die Natur gedruckt
Beispiel.
autonomie usw.,
Christusprinzip
Selbstaufopferung
Christus.
Gespräch über Bäume
Kreuz.
Selbstaufopferung ?
Bäume
?
Christusprinzip ist
Blume: Da habe ich Probleme.
Opferrolle
Gespräch
usw.,
die okologische Frage.
gedruckt
dir,
Problem.
Blume.
okologische
Probleme.

Google

usw.
,
sondern
zugleich
um
ökologische
.
zum
in
Aber
wenn
die
Arme
ausbreite
ich
auch
selbst
Kreuz
Blume
:
Ja
sicher
aber
du
bist
nicht
Christus
Beuys
Nein
dir
das
mußt
nur
mal
begreifen
Da
tun
leidensfähig
als
wirklich
Plan
zur
Rettung
der
Natur
Welt
Ich
autonomie usw., sondern zugleich um die ökologische Frage. Gespräch über Bäume zum Beispiel. Beuys: Richtig. Es handelt sich um eine erwei- terte Fragestellung, die ökologische Frage. Das Kreuz kann dabei auf die Opferrolle hinweisen, in die vir die Natur gedrückt haben. Aber wenn ich die Arme ausbreite, bin ich auch selbst ein Kreuz. Blume: Ja sicher, aber du bist nicht Christus. Beuys: Nein, aber das Christusprinzip ist auch in dir, das mußt du nur mal begreifen Blume. Blume: Da habe ich Probleme. Beuys: Das ist dein Problem. Du willst den Schritt nicht tun... Blume: Den Schritt der Selbstaufopferung ? Beuys: Auch den. Blume: Das gebe ich zu. Ich bin kein Christustyp. Weder so leidensfähig oder leidenswillig wie du - noch habe ich als Künstler wirklich einen. Plan zur Rettung der Natur, zur Rettung der Welt. Ich habe überhaunt
autonomie
Frage
Gespräch
über
Bäume
Beispiel
Richtig
Es
handelt
sich
eine
erwei
terte
Fragestellung
Das
kann
dabei
auf
Opferrolle
hinweisen
vir
gedrückt
haben
bin
ein
Christusprinzip
ist
habe
Probleme
dein
Problem
Du
willst
den
Schritt
...
Den
Selbstaufopferung
?
Auch
gebe
zu
kein
Christustyp
Weder
so
oder
leidenswillig
wie
-
noch
Künstler
einen
überhaunt