AI Data for Peace of Münster | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age	21-33
Gender	Male, 54.4%
Calm	52.6%
Sad	46%
Happy	45.1%
Angry	45.4%
Fear	45.2%
Confused	45.1%
Surprised	45.4%
Disgusted	45.1%

AWS Rekognition

Age	46-64
Gender	Male, 54.4%
Confused	45%
Surprised	45%
Disgusted	45%
Happy	45.1%
Calm	54.8%
Sad	45.1%
Fear	45%
Angry	45%

AWS Rekognition

Age	35-51
Gender	Male, 54.8%
Fear	45%
Disgusted	45%
Calm	54.6%
Angry	45.1%
Sad	45.2%
Surprised	45%
Happy	45%
Confused	45%

AWS Rekognition

Age	35-51
Gender	Male, 54.8%
Disgusted	45.5%
Happy	45.1%
Angry	50.6%
Fear	45.2%
Calm	48.4%
Sad	45.1%
Surprised	45.1%
Confused	45.1%

AWS Rekognition

Age	33-49
Gender	Male, 54.6%
Happy	45.1%
Disgusted	45%
Sad	48.3%
Angry	49.6%
Surprised	45%
Fear	45.1%
Calm	46.8%
Confused	45.1%

AWS Rekognition

Age	22-34
Gender	Female, 54.1%
Confused	45%
Angry	45.1%
Surprised	45%
Calm	53%
Disgusted	45.1%
Fear	45%
Sad	46.8%
Happy	45%

AWS Rekognition

Age	30-46
Gender	Male, 54.3%
Confused	45.1%
Happy	45.3%
Disgusted	45.3%
Calm	51.2%
Angry	47%
Sad	45.3%
Surprised	45.6%
Fear	45.3%

AWS Rekognition

Age	33-49
Gender	Male, 54.7%
Happy	45.1%
Angry	45%
Disgusted	45%
Calm	54.8%
Fear	45%
Surprised	45%
Confused	45%
Sad	45.1%

AWS Rekognition

Age	34-50
Gender	Male, 50.4%
Surprised	49.5%
Calm	49.6%
Fear	49.5%
Disgusted	49.5%
Happy	49.5%
Angry	49.6%
Sad	50.3%
Confused	49.5%

AWS Rekognition

Age	13-25
Gender	Male, 54.3%
Calm	46.8%
Fear	47.7%
Angry	45.5%
Disgusted	45.1%
Sad	45.1%
Happy	45.2%
Surprised	49.4%
Confused	45.1%

AWS Rekognition

Age	44-62
Gender	Male, 54.9%
Disgusted	45%
Fear	45.1%
Confused	45.1%
Calm	51.5%
Surprised	45.2%
Angry	45.6%
Sad	47.4%
Happy	45%

AWS Rekognition

Age	44-62
Gender	Male, 54.9%
Disgusted	45%
Confused	45%
Angry	54.3%
Sad	45.2%
Happy	45%
Surprised	45.1%
Calm	45.2%
Fear	45.2%

AWS Rekognition

Age	23-37
Gender	Male, 54.3%
Calm	47.5%
Confused	45.1%
Happy	45.2%
Disgusted	45%
Surprised	49.6%
Sad	45.5%
Fear	46.7%
Angry	45.5%

AWS Rekognition

Age	50-68
Gender	Male, 54.7%
Angry	45.2%
Disgusted	45.1%
Surprised	45%
Sad	45.4%
Confused	45%
Calm	45.1%
Fear	54.1%
Happy	45%

AWS Rekognition

Age	34-50
Gender	Male, 54.8%
Confused	45%
Sad	45%
Happy	45%
Angry	54.8%
Fear	45%
Disgusted	45%
Calm	45.1%
Surprised	45%

AWS Rekognition

Age	42-60
Gender	Male, 54.8%
Sad	45.6%
Surprised	45%
Angry	45.1%
Confused	45%
Fear	45%
Happy	47.4%
Calm	51.8%
Disgusted	45%

AWS Rekognition

Age	36-54
Gender	Male, 54.9%
Happy	45%
Surprised	47.3%
Angry	45%
Fear	45%
Sad	45.2%
Confused	45.1%
Calm	52.3%
Disgusted	45%

AWS Rekognition

Age	45-63
Gender	Male, 54.7%
Disgusted	45%
Sad	45%
Calm	54.8%
Fear	45%
Happy	45%
Confused	45%
Angry	45.1%
Surprised	45%

AWS Rekognition

Age	22-34
Gender	Male, 52.9%
Surprised	45.2%
Happy	45.1%
Sad	45.2%
Fear	46.4%
Calm	46.1%
Confused	45%
Disgusted	45%
Angry	51.9%

AWS Rekognition

Age	31-47
Gender	Male, 52.8%
Angry	46.7%
Sad	46.1%
Calm	45.5%
Fear	48.1%
Happy	47.2%
Surprised	46.4%
Disgusted	45%
Confused	45.1%

AWS Rekognition

Age	22-34
Gender	Male, 50.4%
Sad	49.6%
Happy	49.5%
Fear	49.5%
Calm	49.9%
Angry	49.9%
Disgusted	49.5%
Confused	49.5%
Surprised	49.5%

AWS Rekognition

Age	35-51
Gender	Male, 54.6%
Happy	45.2%
Angry	46.5%
Fear	46.6%
Surprised	45.4%
Calm	50.8%
Sad	45.4%
Disgusted	45%
Confused	45.1%

AWS Rekognition

Age	35-51
Gender	Male, 50.3%
Happy	49.9%
Confused	49.5%
Calm	50.1%
Angry	49.5%
Disgusted	49.5%
Surprised	49.5%
Fear	49.5%
Sad	49.5%

AWS Rekognition

Age	52-70
Gender	Male, 54.2%
Disgusted	45%
Fear	45.7%
Confused	45.1%
Angry	45.3%
Calm	49.5%
Surprised	45.6%
Sad	48.7%
Happy	45%

AWS Rekognition

Age	25-39
Gender	Male, 54.8%
Calm	47.6%
Surprised	47.2%
Angry	47.7%
Confused	45.1%
Happy	45.1%
Fear	45.7%
Sad	46.6%
Disgusted	45%

AWS Rekognition

Age	22-34
Gender	Female, 51%
Angry	48.3%
Fear	45.1%
Confused	45.1%
Surprised	45.2%
Calm	49.2%
Disgusted	45%
Sad	46%
Happy	46.1%

AWS Rekognition

Age	37-55
Gender	Male, 50.4%
Sad	49.5%
Calm	49.5%
Angry	50.5%
Fear	49.5%
Happy	49.5%
Surprised	49.5%
Disgusted	49.5%
Confused	49.5%

AWS Rekognition

Age	28-44
Gender	Male, 53.1%
Angry	47.1%
Calm	50.9%
Fear	45.8%
Disgusted	45%
Surprised	45.3%
Happy	45.1%
Sad	45.7%
Confused	45.1%

AWS Rekognition

Age	21-33
Gender	Male, 50.5%
Angry	50.4%
Sad	49.5%
Calm	49.5%
Disgusted	49.5%
Confused	49.5%
Surprised	49.5%
Fear	49.5%
Happy	49.5%

AWS Rekognition

Age	22-34
Gender	Male, 50.4%
Surprised	49.5%
Disgusted	49.5%
Sad	49.5%
Angry	49.5%
Calm	50.4%
Happy	49.5%
Fear	49.5%
Confused	49.5%

AWS Rekognition

Age	9-19
Gender	Male, 50.4%
Surprised	49.5%
Sad	49.6%
Confused	49.5%
Calm	50%
Happy	49.5%
Angry	49.6%
Fear	49.8%
Disgusted	49.5%

AWS Rekognition

Age	33-49
Gender	Male, 53.7%
Sad	51.6%
Fear	45.4%
Disgusted	45%
Surprised	45%
Angry	45.1%
Calm	47.8%
Happy	45%
Confused	45%

AWS Rekognition

Age	30-46
Gender	Male, 50.5%
Sad	49.6%
Fear	49.5%
Disgusted	49.5%
Angry	49.6%
Happy	49.6%
Confused	49.5%
Calm	50.2%
Surprised	49.5%

AWS Rekognition

Age	12-22
Gender	Male, 50.3%
Calm	50.4%
Sad	49.5%
Happy	49.5%
Angry	49.5%
Fear	49.5%
Surprised	49.5%
Confused	49.5%
Disgusted	49.5%

AWS Rekognition

Age	22-34
Gender	Male, 50.5%
Calm	50.4%
Happy	49.5%
Angry	49.5%
Disgusted	49.5%
Surprised	49.5%
Fear	49.5%
Sad	49.5%
Confused	49.5%

AWS Rekognition

Age	45-63
Gender	Male, 50.5%
Angry	49.6%
Surprised	49.5%
Sad	49.5%
Happy	49.5%
Disgusted	49.5%
Confused	49.5%
Calm	50.4%
Fear	49.5%

AWS Rekognition

Age	22-34
Gender	Male, 50.4%
Happy	50%
Angry	49.5%
Disgusted	49.5%
Surprised	49.5%
Calm	50%
Sad	49.5%
Fear	49.5%
Confused	49.5%

AWS Rekognition

Age	17-29
Gender	Male, 50.3%
Fear	49.7%
Calm	49.6%
Angry	49.6%
Happy	49.5%
Confused	49.5%
Disgusted	49.5%
Sad	50%
Surprised	49.5%

AWS Rekognition

Age	40-58
Gender	Male, 50%
Disgusted	49.5%
Angry	49.6%
Calm	49.6%
Surprised	49.5%
Sad	50.2%
Confused	49.5%
Fear	49.6%
Happy	49.5%

AWS Rekognition

Age	41-59
Gender	Male, 50.5%
Happy	49.5%
Fear	49.5%
Sad	49.5%
Confused	49.5%
Disgusted	49.5%
Surprised	49.5%
Calm	50.5%
Angry	49.5%

AWS Rekognition

Age	21-33
Gender	Female, 50%
Calm	50.3%
Disgusted	49.5%
Happy	49.5%
Fear	49.5%
Surprised	49.5%
Sad	49.7%
Confused	49.5%
Angry	49.5%

AWS Rekognition

Age	22-34
Gender	Male, 50.5%
Confused	49.5%
Surprised	49.5%
Fear	49.5%
Happy	49.5%
Disgusted	49.5%
Angry	50.2%
Sad	49.7%
Calm	49.6%

AWS Rekognition

Age	22-34
Gender	Female, 50.2%
Calm	49.7%
Disgusted	49.5%
Surprised	49.5%
Sad	49.5%
Fear	49.5%
Happy	49.5%
Angry	50.2%
Confused	49.5%

AWS Rekognition

Age	19-31
Gender	Female, 50.4%
Confused	49.5%
Calm	50.2%
Surprised	49.5%
Fear	49.5%
Happy	49.5%
Angry	49.5%
Sad	49.8%
Disgusted	49.5%

AWS Rekognition

Age	54-72
Gender	Male, 50.3%
Disgusted	49.5%
Angry	49.5%
Fear	49.5%
Happy	49.5%
Confused	49.5%
Sad	50.2%
Calm	49.8%
Surprised	49.5%

AWS Rekognition

Age	34-50
Gender	Male, 50.4%
Happy	49.5%
Fear	50.2%
Angry	49.7%
Confused	49.5%
Surprised	49.5%
Disgusted	49.5%
Calm	49.5%
Sad	49.6%

AWS Rekognition

Age	26-40
Gender	Male, 50.2%
Happy	49.5%
Disgusted	49.5%
Confused	49.5%
Calm	50.4%
Fear	49.5%
Sad	49.5%
Angry	49.5%
Surprised	49.5%

AWS Rekognition

Age	24-38
Gender	Female, 50.5%
Fear	49.5%
Sad	50%
Confused	49.5%
Angry	49.9%
Happy	49.5%
Calm	49.6%
Surprised	49.5%
Disgusted	49.5%

AWS Rekognition

Age	36-52
Gender	Male, 50.5%
Disgusted	49.5%
Fear	49.5%
Calm	50.4%
Surprised	49.5%
Angry	49.5%
Confused	49.5%
Happy	49.5%
Sad	49.5%

AWS Rekognition

Age	49-67
Gender	Male, 50.5%
Surprised	49.5%
Sad	49.5%
Confused	49.5%
Happy	49.5%
Disgusted	49.5%
Fear	49.5%
Angry	49.5%
Calm	50.5%

AWS Rekognition

Age	37-55
Gender	Male, 50.3%
Confused	49.5%
Calm	50.4%
Sad	49.6%
Surprised	49.5%
Happy	49.5%
Disgusted	49.5%
Fear	49.5%
Angry	49.5%

AWS Rekognition

Age	36-54
Gender	Male, 50.5%
Angry	49.5%
Calm	50.3%
Confused	49.5%
Disgusted	49.5%
Surprised	49.5%
Happy	49.5%
Sad	49.6%
Fear	49.5%

AWS Rekognition

Age	22-34
Gender	Male, 50.4%
Sad	49.6%
Disgusted	49.5%
Fear	49.5%
Angry	49.5%
Happy	49.7%
Surprised	49.5%
Calm	50.1%
Confused	49.5%

AWS Rekognition

Age	20-32
Gender	Female, 50.2%
Calm	49.6%
Surprised	49.5%
Sad	50.4%
Happy	49.5%
Fear	49.5%
Disgusted	49.5%
Angry	49.5%
Confused	49.5%

AWS Rekognition

Age	26-42
Gender	Male, 54.7%
Fear	45.2%
Angry	47.7%
Calm	48.7%
Happy	45.1%
Sad	47.6%
Disgusted	45.5%
Confused	45.1%
Surprised	45.1%

AWS Rekognition

Age	19-31
Gender	Male, 52.2%
Fear	47.7%
Surprised	45.3%
Confused	45.2%
Sad	47.6%
Disgusted	46.9%
Happy	45.1%
Calm	45.8%
Angry	46.4%

AWS Rekognition

Age	49-67
Gender	Male, 50.4%
Sad	50.2%
Surprised	49.5%
Angry	49.8%
Calm	49.5%
Happy	49.5%
Fear	49.5%
Disgusted	49.5%
Confused	49.5%

AWS Rekognition

Age	20-32
Gender	Female, 50.2%
Angry	49.5%
Disgusted	49.5%
Surprised	49.5%
Fear	49.5%
Confused	49.5%
Happy	49.5%
Sad	49.7%
Calm	50.3%

AWS Rekognition

Age	27-43
Gender	Male, 50.2%
Fear	49.5%
Calm	49.5%
Disgusted	49.5%
Angry	50.4%
Surprised	49.5%
Happy	49.5%
Sad	49.6%
Confused	49.5%

AWS Rekognition

Age	40-58
Gender	Male, 54.3%
Angry	47.4%
Happy	45.6%
Disgusted	45%
Confused	45.1%
Surprised	45.3%
Calm	49.8%
Fear	45.7%
Sad	46.2%

AWS Rekognition

Age	43-61
Gender	Female, 50.2%
Sad	50.5%
Disgusted	49.5%
Happy	49.5%
Confused	49.5%
Fear	49.5%
Angry	49.5%
Calm	49.5%
Surprised	49.5%

Feature analysis

Amazon

Painting	98.1%

Person	96.5%

Captions

Microsoft
created on 2019-11-16

an old photo of a group of people posing for the camera	79.8%

an old photo of a group of people posing for a picture	79.7%

a group of people posing for a photo	79.6%

Text analysis

Amazon

SOLENNIS

VIVUM

ANTE

REGIS

QUA

EXPREMEITUR

ICON EXACTISSIMA. QUA AD VIVUM EXPREMEITUR SOLENNIS CONVE'TUS LEGATORUM

CONVE'TUS

DOMO

PACES

EXACTISSIMA.

UTRINQUE

LEGATORUM

ICON

FADERATI

HISPANIARUM REGIS PHILIPPE ORDINUN

PAULL.O

PHILIPPE

HISPANIARUM

SEVATORLA

FADERATI BELGL.OUA PACES PERPETAM PAULL.O ANTE ADITTES UTRINQUE INSTILUMENTIS. TURN

IDUUS

ORDINUN

ENERALLUM

INSTILUMENTIS.

WESTPHALORLU

ADITTES

ENERALLUM WESTPHALORLU IN DOMO SEVATORLA C1D IC IDUUS

PERPETAM

FAX OYTIMA

BELGL.OUA

TURN

C1D

Google

EAX OPTIMA 1ERVM reae Sovekrdgr SOLENNIS CONVETUS LEGATOR UM PLENIPOTENTARIOR UM HISPANIARUM REGIS PHILIPPI IV. ET ORDINUM ICON EXACTISSIMA, QUA AD VIVUM EXPRIMITUR CONTIRMAILUNT GENERALIUM FADERATI BELGH. QUI PACEM PERPETUAM PAULLO ANTE SANCITA M. EXTRADITIS UTRINQUE INSTRUMENTIE. EURAMENTO IDIB US MAIL ANNO CD D CXLVI DOMO SENATORIA MONASTERI WE8TPIHALO R U IN

EAX

OPTIMA

1ERVM

reae

Sovekrdgr

SOLENNIS

CONVETUS

LEGATOR

PLENIPOTENTARIOR

HISPANIARUM

REGIS

PHILIPPI

IV.

ORDINUM

ICON

EXACTISSIMA,

QUA

VIVUM

EXPRIMITUR

CONTIRMAILUNT

GENERALIUM

FADERATI

BELGH.

QUI

PACEM

PERPETUAM

PAULLO

ANTE

SANCITA

EXTRADITIS

UTRINQUE

INSTRUMENTIE.

EURAMENTO

IDIB

MAIL

ANNO

CXLVI

DOMO

SENATORIA

MONASTERI

WE8TPIHALO

Title Peace of Münster	Date 17th century
People Artist: Jonas Suyderhoef, Dutch c. 1613 - 1686 Artist after: Gerard Terborch, Dutch 1617 - 1681	Classification Prints
Credit Line Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R2076

people	100

group	99.9

many	99.9

leader	98.9

adult	98.3

crowd	96.5

man	96.4

administration	96

wear	94.4

print	93.7

gown (clothing)	92.3

woman	90.9

group together	90.5

furniture	88.4

seat	86.8

ceremony	85.9

art	85.7

chair	85.5

room	84.4

music	82.6

blackboard	79.5

old	34.8

vintage	27.3

art	27.1

ancient	25.1

grunge	24.7

antique	24.6

retro	19.6

architecture	19.5

sculpture	19.2

aged	18.1

history	17.9

texture	16.7

statue	15

paper	14.9

dirty	14.4

religion	14.3

decoration	14.1

historic	13.7

wall	12.8

temple	12.3

pattern	12.3

historical	12.2

design	11.8

structure	11.3

building	11.2

culture	11.1

stone	11

letter	11

wallpaper	10.7

travel	10.6

style	10.4

monument	10.3

city	10

landmark	9.9

material	9.8

old fashioned	9.5

drawing	9.5

grain	9.2

black	9

brown	8.8

symbol	8.7

artistic	8.7

decay	8.7

god	8.6

damaged	8.6

house	8.4

sketch	8.4

famous	8.4

church	8.3

frame	8.3

tourism	8.2

gold	8.2

man	8.1

graphic	8

textured	7.9

text	7.8

detailed	7.7

flower	7.7

grungy	7.6

decorative	7.5

silhouette	7.4

light	7.3

detail	7.2

border	7.2

Painting	89

Art	81.6

Visual arts	64.9

History	64.5

Stock photography	59.4

Collection	54

person	93.8

old	92.3

clothing	91.6

text	86.6

posing	55

clothes	16.6

Art	98.1

Painting	98.1

Person	96.5

Human	96.5

Person	93.1

Person	90.4

Person	89.2

Person	87.8

Person	84.2

Person	83.8

Person	83

Person	81.2

Person	80.2

Person	76.7

Person	75.9

Person	71.5

People	62.2

Person	61.3

interior objects	54.2%

paintings art	22.2%

streetview architecture	18.3%

nature landscape	2%

macro flowers	1.6%

Human Generated Data

Title

Peace of Münster

Date

17th century

People

Artist: Jonas Suyderhoef, Dutch c. 1613 - 1686

Artist after: Gerard Terborch, Dutch 1617 - 1681

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R2076

Human Generated Data

Title

Peace of Münster

People

Artist: Jonas Suyderhoef, Dutch c. 1613 - 1686

Artist after: Gerard Terborch, Dutch 1617 - 1681

Date

17th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R2076

Machine Generated Data

Tags

Amazoncreated on 2019-11-16

Clarifaicreated on 2019-11-16

Imaggacreated on 2019-11-16

Googlecreated on 2019-11-16

Microsoftcreated on 2019-11-16

Color Analysis

Face analysis

Amazon

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Amazon
created on 2019-11-16

Clarifai
created on 2019-11-16

Imagga
created on 2019-11-16

Google
created on 2019-11-16

Microsoft
created on 2019-11-16

Microsoft
created on 2019-11-16