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.A

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.A

Machine Generated Data

Tags

Amazon
created on 2022-06-04

Person 99.1
Human 99.1
Person 97.7
Person 97.6
Person 97.6
Person 96.8
Person 95.7
Poster 95.5
Advertisement 95.5
Person 95.2
Person 95
Person 94.7
Person 92.4
Person 91.7
Person 89.8
Person 89.4
Interior Design 86.9
Indoors 86.9
Person 86.2
Person 81.5
Crowd 81.3
Person 78.4
Text 75.8
Person 75.3
Room 69
Audience 67.3
Paper 63.2
Person 62.3
Person 62
Person 60
Flyer 59.2
Brochure 59.2
Sitting 58.1
Performer 56.9
Theater 56.7
People 56.1
Person 48.7

Clarifai
created on 2023-10-29

people 100
group 99.3
adult 98.7
many 98.7
administration 97
vehicle 96.5
group together 95.9
man 95.4
woman 93.4
music 92.6
leader 92.4
wear 91.8
several 90.6
musician 90.5
aircraft 90.2
war 90.1
watercraft 86
one 83.9
military 82.8
transportation system 82.7

Imagga
created on 2022-06-04

blackboard 27.2
man 22.1
classroom 21
people 20.6
room 18.7
male 17.7
black 16.8
musical instrument 16.3
business 15.2
office 14.8
web site 13.6
person 13.5
wind instrument 13.2
art 13
design 12.9
computer 12.2
silhouette 11.6
couple 11.3
grunge 11.1
brass 10.9
professional 10.9
old 10.4
pattern 10.2
businessman 9.7
men 9.4
adult 9.4
finance 9.3
vintage 9.2
teacher 9.1
modern 9.1
happy 8.8
graphic 8.7
symbol 8.7
women 8.7
light 8.7
education 8.6
poster 8.5
board 8.4
working 7.9
student 7.6
desk 7.5
friends 7.5
laptop 7.5
technology 7.4
retro 7.4
paint 7.2
success 7.2
color 7.2
financial 7.1
love 7.1
work 7.1

Google
created on 2022-06-04

Photograph 94.2
Font 84
Rectangle 75.4
Musical instrument 72.4
Suit 72.2
Event 71.1
Art 67.3
Membranophone 66.8
Monochrome 65.3
Monochrome photography 62.3
Stock photography 62
Advertising 61.8
History 60.6
Room 60.5
Display device 60.1
Music 57.3
Photo caption 57
Drum 55.2
Crew 51.7
Visual arts 51.1

Microsoft
created on 2022-06-04

text 99
person 88.9
clothing 73.4
man 68.6
cartoon 59.9
poster 50.9

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 36-44
Gender Male, 99.8%
Angry 57%
Calm 39.3%
Surprised 6.3%
Fear 6.1%
Sad 2.9%
Confused 0.6%
Happy 0.3%
Disgusted 0.1%

AWS Rekognition

Age 54-64
Gender Male, 99.8%
Calm 99.7%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Confused 0.1%
Disgusted 0%
Angry 0%
Happy 0%

AWS Rekognition

Age 24-34
Gender Male, 99.9%
Calm 98.9%
Surprised 6.5%
Fear 5.9%
Sad 2.2%
Angry 0.3%
Confused 0.1%
Happy 0.1%
Disgusted 0.1%

AWS Rekognition

Age 23-31
Gender Male, 99.9%
Calm 64.9%
Happy 25.5%
Surprised 7.4%
Fear 6.2%
Sad 3.4%
Disgusted 1.4%
Confused 1.3%
Angry 0.8%

AWS Rekognition

Age 26-36
Gender Female, 100%
Calm 75.8%
Confused 10.8%
Surprised 8.4%
Fear 6.2%
Sad 4.3%
Disgusted 1.5%
Angry 1.3%
Happy 1%

AWS Rekognition

Age 21-29
Gender Male, 99.6%
Sad 92.3%
Calm 37.8%
Surprised 6.8%
Fear 6%
Confused 6%
Happy 5.2%
Angry 4.3%
Disgusted 1.1%

AWS Rekognition

Age 29-39
Gender Female, 75.9%
Calm 95.3%
Surprised 6.5%
Fear 5.9%
Sad 2.5%
Angry 1.7%
Confused 1.2%
Happy 0.1%
Disgusted 0.1%

AWS Rekognition

Age 27-37
Gender Male, 99.2%
Calm 85.5%
Happy 7.2%
Surprised 6.4%
Fear 6%
Confused 3.7%
Sad 2.3%
Disgusted 1.4%
Angry 1%

AWS Rekognition

Age 34-42
Gender Male, 99.9%
Calm 83.9%
Surprised 9.4%
Fear 6.3%
Sad 3.7%
Angry 2.5%
Disgusted 1.4%
Confused 1.1%
Happy 0.8%

AWS Rekognition

Age 26-36
Gender Male, 99.3%
Calm 70.8%
Surprised 9.2%
Confused 8.7%
Fear 6.2%
Sad 4.2%
Happy 4.1%
Angry 3.9%
Disgusted 1.6%

AWS Rekognition

Age 18-24
Gender Male, 100%
Surprised 65.7%
Calm 20.1%
Disgusted 12.1%
Confused 11.8%
Fear 9.6%
Sad 3.7%
Happy 3.1%
Angry 2%

AWS Rekognition

Age 53-61
Gender Male, 99.7%
Confused 82.4%
Calm 11.7%
Surprised 6.8%
Fear 5.9%
Angry 3%
Sad 2.6%
Disgusted 0.2%
Happy 0.1%

AWS Rekognition

Age 33-41
Gender Male, 100%
Happy 40.6%
Calm 24.6%
Surprised 8.8%
Disgusted 8.2%
Confused 8%
Fear 7.8%
Sad 5.5%
Angry 2.8%

AWS Rekognition

Age 40-48
Gender Female, 100%
Confused 58.2%
Sad 26.4%
Calm 13.1%
Surprised 7.3%
Fear 6.3%
Disgusted 2.7%
Happy 1.9%
Angry 1.5%

AWS Rekognition

Age 30-40
Gender Male, 99.5%
Calm 52.3%
Fear 19.3%
Disgusted 8.4%
Surprised 7.8%
Sad 6.3%
Confused 4.9%
Angry 2.3%
Happy 1.5%

AWS Rekognition

Age 42-50
Gender Female, 96.6%
Sad 96.3%
Surprised 18.1%
Calm 15.5%
Confused 10.2%
Fear 7.5%
Happy 2.8%
Disgusted 2.2%
Angry 1.9%

AWS Rekognition

Age 16-24
Gender Male, 59.1%
Sad 89.6%
Confused 41.4%
Calm 8.9%
Fear 7.8%
Surprised 6.5%
Angry 2.6%
Disgusted 0.2%
Happy 0.1%

AWS Rekognition

Age 31-41
Gender Female, 97.9%
Sad 99.9%
Calm 9.1%
Surprised 7.9%
Fear 6.9%
Angry 3.4%
Happy 1.9%
Confused 0.8%
Disgusted 0.6%

AWS Rekognition

Age 22-30
Gender Female, 96.5%
Calm 51.5%
Fear 47.9%
Surprised 6.7%
Sad 5%
Confused 0.6%
Disgusted 0.3%
Happy 0.2%
Angry 0.2%

AWS Rekognition

Age 24-34
Gender Male, 68.2%
Sad 67.9%
Calm 46.6%
Fear 15.2%
Surprised 6.5%
Disgusted 1.9%
Confused 1.8%
Angry 1.1%
Happy 0.5%

AWS Rekognition

Age 23-31
Gender Female, 99.9%
Fear 71%
Confused 16.9%
Calm 15.9%
Surprised 9.1%
Sad 3.7%
Angry 2.4%
Happy 0.9%
Disgusted 0.7%

AWS Rekognition

Age 28-38
Gender Female, 99.5%
Surprised 38.2%
Calm 19%
Fear 13.6%
Sad 10.5%
Angry 9.8%
Disgusted 9.4%
Confused 5.5%
Happy 4.9%

AWS Rekognition

Age 22-30
Gender Female, 99.8%
Sad 100%
Surprised 6.3%
Fear 6.1%
Angry 4.5%
Calm 3.6%
Disgusted 1.2%
Confused 0.3%
Happy 0.2%

AWS Rekognition

Age 18-26
Gender Male, 89.8%
Calm 74.9%
Surprised 9%
Happy 7.8%
Fear 6.5%
Sad 4.1%
Confused 2.9%
Angry 2%
Disgusted 1.5%

AWS Rekognition

Age 23-31
Gender Male, 61.5%
Calm 60.7%
Surprised 12%
Happy 10.8%
Fear 7.5%
Sad 4.2%
Confused 4%
Disgusted 3.9%
Angry 3.6%

AWS Rekognition

Age 25-35
Gender Female, 83%
Fear 97.3%
Surprised 6.7%
Sad 3.4%
Calm 0.2%
Confused 0.2%
Happy 0.2%
Disgusted 0.2%
Angry 0.1%

AWS Rekognition

Age 24-34
Gender Female, 99.9%
Angry 29.8%
Calm 22.3%
Disgusted 14.3%
Fear 13.7%
Surprised 11.7%
Happy 4%
Sad 4%
Confused 3.1%

AWS Rekognition

Age 38-46
Gender Male, 98.9%
Happy 98.7%
Surprised 6.3%
Fear 6.1%
Sad 2.2%
Calm 0.2%
Angry 0.1%
Confused 0.1%
Disgusted 0.1%

AWS Rekognition

Age 7-17
Gender Female, 98.6%
Sad 99.6%
Calm 12.2%
Confused 10.5%
Fear 10.5%
Surprised 6.5%
Angry 1.2%
Disgusted 0.8%
Happy 0.5%

AWS Rekognition

Age 14-22
Gender Male, 68.4%
Fear 94.1%
Surprised 6.7%
Sad 6.1%
Calm 5.4%
Confused 1.4%
Happy 1.1%
Disgusted 0.8%
Angry 0.4%

AWS Rekognition

Age 25-35
Gender Female, 99.7%
Sad 70.6%
Fear 17.1%
Surprised 17%
Confused 11.9%
Calm 11.5%
Angry 6.1%
Disgusted 3.4%
Happy 3.3%

AWS Rekognition

Age 35-43
Gender Male, 95.9%
Happy 99.7%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Calm 0.1%
Disgusted 0.1%
Confused 0%
Angry 0%

AWS Rekognition

Age 20-28
Gender Male, 86.5%
Sad 99.7%
Confused 12.5%
Calm 10.3%
Surprised 7.9%
Fear 6.3%
Disgusted 4.4%
Angry 0.8%
Happy 0.6%

AWS Rekognition

Age 21-29
Gender Male, 87.8%
Calm 99%
Surprised 6.3%
Fear 5.9%
Sad 2.3%
Disgusted 0.2%
Angry 0.1%
Confused 0.1%
Happy 0.1%

AWS Rekognition

Age 16-22
Gender Female, 88.2%
Angry 63.3%
Calm 18.8%
Surprised 9.3%
Fear 7.3%
Confused 4.8%
Sad 2.8%
Disgusted 1.6%
Happy 1.2%

AWS Rekognition

Age 20-28
Gender Female, 96%
Fear 94.1%
Surprised 8.1%
Calm 6.2%
Sad 4.3%
Confused 1.3%
Angry 0.7%
Disgusted 0.7%
Happy 0.3%

AWS Rekognition

Age 16-22
Gender Female, 95.9%
Confused 70.9%
Calm 15.5%
Surprised 14.6%
Fear 6.3%
Sad 2.4%
Happy 0.4%
Disgusted 0.3%
Angry 0.2%

AWS Rekognition

Age 19-27
Gender Male, 74.9%
Calm 99.5%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0.1%
Confused 0.1%
Disgusted 0%
Angry 0%

AWS Rekognition

Age 23-31
Gender Male, 89.7%
Fear 89%
Surprised 14.7%
Calm 5.8%
Happy 3.6%
Sad 3.4%
Confused 1.3%
Disgusted 1.3%
Angry 1.3%

AWS Rekognition

Age 18-26
Gender Female, 99.2%
Confused 56.3%
Calm 31.4%
Surprised 7.8%
Fear 7.1%
Sad 3.8%
Disgusted 1.1%
Angry 0.9%
Happy 0.4%

AWS Rekognition

Age 30-40
Gender Male, 99.2%
Surprised 58.1%
Calm 20.6%
Disgusted 16.1%
Fear 13.3%
Confused 4.5%
Angry 4.1%
Happy 3.3%
Sad 3.1%

AWS Rekognition

Age 21-29
Gender Male, 99.8%
Sad 74.6%
Fear 65.4%
Calm 11.1%
Surprised 6.4%
Angry 2.1%
Disgusted 0.8%
Confused 0.3%
Happy 0.2%

AWS Rekognition

Age 18-26
Gender Male, 97.2%
Calm 99.3%
Surprised 6.4%
Fear 5.9%
Sad 2.2%
Confused 0.1%
Disgusted 0%
Angry 0%
Happy 0%

AWS Rekognition

Age 41-49
Gender Male, 99.7%
Calm 86.6%
Fear 7.2%
Surprised 6.5%
Sad 4.5%
Confused 1.3%
Angry 1.3%
Disgusted 0.9%
Happy 0.9%

Microsoft Cognitive Services

Age 50
Gender Male

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 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 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

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 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

Feature analysis

Amazon

Person 99.1%
Poster 95.5%

Categories

Imagga

text visuals 98.9%

Captions

Microsoft
created on 2022-06-04

website 2.5%

Text analysis

Amazon

der
die
Heute
den
anstatt
Tag
mit
zum
Heute ist der
mehr
alten
und
schaften den Tag der
Arbeit
es
der alten Schule in
wir
ist
Bäume
nur
geht,
sondern
nicht mehr nur
in
zu
wollen
aber
2
eine
sich
um
Wir wollen
Das
schaften
nimm
auch
Wir
Beuys:
sondern zugleich
zeigen
Es
z.B. mit den
hier
autonomie
Ilverich sitzen und
ein
nicht
sich um eine erwei-
zugleich
1.Mai
warum wir hier in
Richtig.
tionen
Ilverich
sitzen
terte
Posi-
handelt
Schule
Beuys: Richtig. Es handelt
Kreuz
Frage.
disputieren,
Blume:
tionen geht, Tarif-
Damit
erwei-
zum Beispiel.
Blume: Ja, aber nimm auch
Gewerk-
sagen,
ein grünes Kreuz.
warum
z.B.
grünes
terte Fragestellung,
autonomie usw.,
Kreuz.
Arbeit zu feiern.
Damit zeigen wir,
die ökologische Frage.
1.Mai (1985).
daß es zum
Tarif-
Beispiel.
Gesprach über Bäume
Fragestellung,
Gesprach
usw.,
1
Ja,
(1985).
okonomische Posi-
wir,
über
ökologische
feiern.
die okologische Frage.
daß
okonomische
Das Kreuz kapp daboi
kapp
okologische
Frühlingservachen
daboi

Google

Beuys: Heute ist der 1.Mai (1985). Wir wollen sagen, warum wir hier in der alten Schule in Ilverich sitzen und disputieren, anstatt z. B. mit den Gewerk- schaften den Tag der Arbeit zu feiern. Blume: Ja, aber nimm auch. ein grünes Kreuz. Damit zeigen wir, daß es zum Frühlingserwachen. nicht mehr nur um ökonomische Posi- tionen geht, Tarif- 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 2
Beuys
Heute
ist
der
1.Mai
(
1985
)
.
Wir
wollen
sagen
,
warum
wir
hier
in
alten
Schule
Ilverich
sitzen
und
disputieren
anstatt
z
B.
mit
den
Gewerk
schaften
Tag
Arbeit
zu
Blume
Ja
aber
auch
ein
grünes
Kreuz
Damit
zeigen
daß
es
zum
Frühlingserwachen
nicht
mehr
nur
um
ökonomische
Posi
:
Richtig
Es
handelt
sich
eine
erwei
terte
Fragestellung
kann
dabei
2
feiern
nimm
tionen
geht
Tarif
autonomie
usw.
sondern
zugleich
die
ökologische
Frage
Gespräch
über
Bäume
Beispiel
Das