AI Data for natural. A conversation with Joseph Beuys [part]

Machine Generated Data

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	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	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, 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^%

Captions

Microsoft

a group of people standing in front of a crowd	67.6^%

a group of people posing for a photo	66.5^%

an old photo of a group of people in a room	66.4^%

Text analysis

Amazon

ist

zum

auf

sondern

wir

aber

die

ich

ein

der

bin

das

kann

Das

aber du

in die wir

Frage.

sondern zugleich

bin ich auch selbst

autonomie

Beuys: Nein, aber das

begreifen

du nur mal begreifen

terte

mal

selbst

eine

wenn

Nein,

auch

haben. Aber wenn ich

nicht

sich

Aber

Den

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

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

usw.

sondern

zugleich

die

ökologische

Frage

Gespräch

über

Bäume

zum

Beispiel

Beuys

Richtig

handelt

sich

eine

erwei

terte

Fragestellung

Das

Kreuz

kann

dabei

auf

Opferrolle

hinweisen

vir

Natur

gedrückt

haben

Aber

wenn

ich

Arme

ausbreite

bin

auch

selbst

ein

Blume

sicher

aber

bist

nicht

Christus

Nein

das

Christusprinzip

ist

dir

mußt

nur

mal

begreifen

habe

Probleme

dein

Problem

willst

den

Schritt

tun

...

Den

der

Selbstaufopferung

Auch

gebe

Ich

kein

Christustyp

Weder

leidensfähig

oder

leidenswillig

wie

noch

als

Künstler

wirklich

einen

Plan

zur

Rettung

Welt

überhaunt

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

Interior Design	99.4

Indoors	99.4

Person	98

Human	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

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

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

text	99.6

newspaper	81.3

people	72

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

Machine Generated Data

Tags

Amazoncreated on 2022-06-04

Imaggacreated on 2022-06-04

Googlecreated on 2022-06-04

Microsoftcreated on 2022-06-04

Face analysis

Amazon

Google

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

Amazon
created on 2022-06-04

Imagga
created on 2022-06-04

Google
created on 2022-06-04

Microsoft
created on 2022-06-04