AI Data for Ratification of the Peace of Münster | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age	31-47
Gender	Male, 54.6%
Surprised	45.1%
Fear	45.3%
Angry	46.5%
Happy	45.1%
Sad	45.7%
Confused	45.1%
Calm	51.9%
Disgusted	45%

AWS Rekognition

Age	36-54
Gender	Male, 54.7%
Calm	54%
Fear	45.1%
Happy	45.2%
Angry	45.3%
Surprised	45.2%
Disgusted	45.1%
Sad	45.2%
Confused	45.1%

AWS Rekognition

Age	46-64
Gender	Male, 54.7%
Disgusted	45%
Happy	45%
Angry	49.3%
Calm	50.1%
Surprised	45%
Confused	45.1%
Sad	45.4%
Fear	45%

AWS Rekognition

Age	36-52
Gender	Male, 54.7%
Calm	45.5%
Disgusted	45%
Sad	54.2%
Happy	45%
Angry	45.3%
Fear	45%
Surprised	45%
Confused	45%

AWS Rekognition

Age	43-61
Gender	Male, 52.8%
Happy	45%
Disgusted	45%
Confused	45%
Calm	49.9%
Fear	45%
Sad	50%
Angry	45%
Surprised	45%

AWS Rekognition

Age	45-63
Gender	Male, 55%
Angry	50.8%
Surprised	45.1%
Sad	45.4%
Fear	45.1%
Calm	48.4%
Happy	45.1%
Confused	45%
Disgusted	45.1%

AWS Rekognition

Age	17-29
Gender	Male, 54.6%
Angry	45.1%
Surprised	45%
Sad	49.2%
Happy	45%
Calm	45.1%
Fear	50.5%
Confused	45%
Disgusted	45%

AWS Rekognition

Age	43-61
Gender	Male, 54.8%
Disgusted	45%
Happy	45%
Angry	45%
Calm	55%
Surprised	45%
Confused	45%
Sad	45%
Fear	45%

AWS Rekognition

Age	32-48
Gender	Male, 54.9%
Surprised	45%
Happy	45%
Sad	45.1%
Fear	45%
Calm	54.9%
Confused	45%
Disgusted	45%
Angry	45%

AWS Rekognition

Age	41-59
Gender	Male, 54.9%
Angry	45%
Surprised	45.1%
Confused	45%
Disgusted	45%
Sad	45.7%
Happy	45%
Calm	54.1%
Fear	45%

AWS Rekognition

Age	23-35
Gender	Female, 50.5%
Calm	49.6%
Sad	48.7%
Fear	46.2%
Disgusted	45.1%
Confused	45%
Surprised	45.1%
Happy	45%
Angry	45.3%

AWS Rekognition

Age	47-65
Gender	Male, 54.8%
Angry	45.3%
Happy	45.2%
Calm	51.6%
Confused	45.2%
Disgusted	45%
Fear	45.2%
Sad	46.9%
Surprised	45.4%

AWS Rekognition

Age	23-37
Gender	Male, 50.3%
Calm	50.6%
Fear	45%
Confused	45%
Happy	49.2%
Angry	45%
Disgusted	45%
Sad	45%
Surprised	45.1%

AWS Rekognition

Age	19-31
Gender	Male, 54.7%
Sad	45.1%
Happy	45.1%
Fear	45.8%
Calm	50%
Angry	45.3%
Disgusted	45.1%
Confused	45.1%
Surprised	48.5%

AWS Rekognition

Age	22-34
Gender	Male, 54.2%
Disgusted	45%
Angry	45.1%
Fear	45.2%
Happy	45.1%
Confused	45.1%
Sad	53.6%
Calm	45.7%
Surprised	45.1%

AWS Rekognition

Age	39-57
Gender	Male, 54.9%
Angry	47.3%
Surprised	45.1%
Sad	45.9%
Fear	45.3%
Calm	51.1%
Happy	45.2%
Confused	45%
Disgusted	45.1%

AWS Rekognition

Age	25-39
Gender	Male, 54.6%
Calm	48.2%
Fear	45.1%
Confused	45.1%
Surprised	45.7%
Angry	45.2%
Happy	50.5%
Sad	45.2%
Disgusted	45%

AWS Rekognition

Age	43-61
Gender	Male, 53.9%
Sad	45.1%
Disgusted	45%
Surprised	45.3%
Happy	45.3%
Angry	47%
Fear	45.2%
Confused	45.1%
Calm	52%

AWS Rekognition

Age	22-34
Gender	Male, 51.3%
Calm	45.3%
Confused	45%
Fear	54.2%
Sad	45.1%
Angry	45%
Surprised	45.2%
Disgusted	45%
Happy	45%

AWS Rekognition

Age	22-34
Gender	Male, 54.5%
Disgusted	45%
Sad	45.2%
Fear	45%
Angry	45.1%
Confused	45%
Happy	45%
Calm	54.7%
Surprised	45%

AWS Rekognition

Age	40-58
Gender	Male, 53.4%
Calm	52%
Confused	45.1%
Happy	45%
Surprised	45%
Sad	46.9%
Fear	45%
Angry	46%
Disgusted	45%

AWS Rekognition

Age	23-37
Gender	Male, 50.5%
Fear	49.5%
Sad	50.4%
Happy	49.5%
Disgusted	49.5%
Calm	49.6%
Confused	49.5%
Angry	49.5%
Surprised	49.5%

AWS Rekognition

Age	32-48
Gender	Male, 50.1%
Disgusted	49.5%
Happy	49.5%
Angry	49.5%
Fear	49.6%
Calm	49.9%
Confused	49.5%
Surprised	49.5%
Sad	50%

AWS Rekognition

Age	37-55
Gender	Male, 54.9%
Calm	46.2%
Surprised	46%
Sad	45%
Happy	45.1%
Fear	45.1%
Disgusted	45%
Angry	52.5%
Confused	45%

AWS Rekognition

Age	22-34
Gender	Male, 50.5%
Surprised	49.5%
Happy	49.5%
Sad	49.6%
Fear	49.5%
Calm	50%
Confused	49.5%
Disgusted	49.7%
Angry	49.7%

AWS Rekognition

Age	29-45
Gender	Male, 55%
Sad	48.6%
Calm	49.8%
Happy	45.1%
Surprised	45%
Disgusted	45.2%
Confused	45%
Angry	46.3%
Fear	45%

AWS Rekognition

Age	40-58
Gender	Male, 50.4%
Happy	49.5%
Angry	50.3%
Disgusted	49.5%
Sad	49.5%
Surprised	49.6%
Calm	49.5%
Fear	49.5%
Confused	49.5%

AWS Rekognition

Age	26-42
Gender	Male, 54.8%
Angry	45.2%
Calm	50.5%
Sad	46.2%
Happy	45.3%
Fear	45.3%
Confused	45.2%
Surprised	47.2%
Disgusted	45.1%

AWS Rekognition

Age	46-64
Gender	Male, 54.4%
Angry	45.1%
Disgusted	45.1%
Surprised	45.1%
Confused	45.2%
Fear	45.2%
Calm	53.3%
Sad	46%
Happy	45.1%

AWS Rekognition

Age	23-35
Gender	Male, 50.5%
Fear	49.8%
Confused	49.5%
Happy	49.5%
Calm	49.8%
Surprised	49.6%
Sad	49.6%
Angry	49.7%
Disgusted	49.5%

AWS Rekognition

Age	32-48
Gender	Male, 54.1%
Happy	45.1%
Surprised	45.3%
Fear	45.1%
Calm	54.2%
Angry	45.1%
Sad	45.2%
Confused	45%
Disgusted	45%

AWS Rekognition

Age	25-39
Gender	Male, 50.4%
Happy	49.5%
Surprised	49.5%
Angry	49.5%
Fear	49.5%
Sad	49.6%
Confused	49.5%
Calm	50.4%
Disgusted	49.5%

AWS Rekognition

Age	40-58
Gender	Male, 54.4%
Disgusted	45%
Angry	45%
Fear	45%
Happy	47.8%
Confused	45%
Sad	45%
Calm	52%
Surprised	45.2%

AWS Rekognition

Age	22-34
Gender	Male, 50.5%
Happy	49.7%
Disgusted	49.5%
Angry	49.5%
Fear	49.5%
Calm	50.3%
Surprised	49.5%
Sad	49.5%
Confused	49.5%

AWS Rekognition

Age	32-48
Gender	Male, 50.5%
Fear	49.5%
Calm	50.4%
Disgusted	49.5%
Happy	49.5%
Sad	49.5%
Confused	49.5%
Surprised	49.5%
Angry	49.5%

AWS Rekognition

Age	33-49
Gender	Male, 50.5%
Disgusted	49.5%
Angry	49.5%
Confused	49.5%
Calm	50.1%
Sad	49.9%
Happy	49.5%
Surprised	49.5%
Fear	49.5%

AWS Rekognition

Age	26-40
Gender	Male, 50.4%
Confused	49.5%
Surprised	49.5%
Happy	49.5%
Sad	49.9%
Disgusted	49.5%
Angry	49.5%
Calm	49.5%
Fear	50%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age	13-23
Gender	Female, 50.2%
Disgusted	49.5%
Happy	49.5%
Angry	49.5%
Fear	49.5%
Sad	49.5%
Surprised	49.6%
Confused	49.5%
Calm	50.3%

AWS Rekognition

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

AWS Rekognition

Age	43-61
Gender	Male, 50.5%
Calm	50.2%
Fear	49.5%
Sad	49.6%
Happy	49.5%
Disgusted	49.5%
Surprised	49.5%
Confused	49.5%
Angry	49.6%

AWS Rekognition

Age	4-12
Gender	Male, 52.6%
Confused	45%
Fear	45.2%
Angry	45.1%
Sad	47%
Disgusted	45%
Surprised	45%
Happy	45.1%
Calm	52.6%

AWS Rekognition

Age	42-60
Gender	Male, 53.5%
Confused	45%
Surprised	45%
Happy	45.1%
Calm	45.3%
Disgusted	45%
Sad	53.2%
Angry	46.1%
Fear	45.3%

AWS Rekognition

Age	23-35
Gender	Female, 50.2%
Angry	49.8%
Surprised	49.6%
Sad	49.6%
Fear	50%
Calm	49.5%
Happy	49.5%
Confused	49.5%
Disgusted	49.5%

AWS Rekognition

Age	21-33
Gender	Male, 50.1%
Calm	50.4%
Angry	49.6%
Fear	49.5%
Happy	49.5%
Sad	49.5%
Confused	49.5%
Disgusted	49.5%
Surprised	49.5%

AWS Rekognition

Age	36-52
Gender	Male, 50.5%
Disgusted	49.5%
Happy	49.5%
Angry	49.6%
Fear	49.7%
Calm	49.8%
Confused	49.5%
Surprised	49.9%
Sad	49.6%

AWS Rekognition

Age	22-34
Gender	Female, 50.4%
Angry	49.5%
Disgusted	49.5%
Happy	49.5%
Calm	50.3%
Sad	49.5%
Surprised	49.6%
Fear	49.5%
Confused	49.5%

AWS Rekognition

Age	27-43
Gender	Female, 50.1%
Angry	49.5%
Calm	50%
Confused	49.5%
Disgusted	49.5%
Surprised	49.5%
Happy	49.5%
Sad	50%
Fear	49.5%

AWS Rekognition

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

AWS Rekognition

Age	12-22
Gender	Female, 50%
Disgusted	49.5%
Angry	49.5%
Calm	50.4%
Surprised	49.5%
Sad	49.6%
Confused	49.5%
Fear	49.5%
Happy	49.5%

AWS Rekognition

Age	25-39
Gender	Male, 50.3%
Surprised	49.5%
Calm	50.5%
Happy	49.5%
Angry	49.5%
Fear	49.5%
Sad	49.5%
Confused	49.5%
Disgusted	49.5%

AWS Rekognition

Age	28-44
Gender	Male, 50.2%
Sad	49.6%
Disgusted	49.5%
Fear	50.2%
Angry	49.6%
Happy	49.5%
Surprised	49.5%
Calm	49.5%
Confused	49.5%

AWS Rekognition

Age	4-14
Gender	Male, 50.5%
Disgusted	49.5%
Calm	50%
Fear	49.5%
Happy	49.5%
Confused	49.5%
Sad	49.8%
Surprised	49.5%
Angry	49.6%

AWS Rekognition

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

AWS Rekognition

Age	32-48
Gender	Male, 50.1%
Surprised	49.5%
Angry	50.1%
Sad	49.6%
Fear	49.5%
Disgusted	49.5%
Happy	49.5%
Calm	49.7%
Confused	49.5%

AWS Rekognition

Age	28-44
Gender	Male, 53.3%
Disgusted	45%
Fear	45.3%
Confused	45.1%
Angry	46.8%
Calm	50%
Surprised	45.4%
Sad	46.1%
Happy	46.3%

AWS Rekognition

Age	39-57
Gender	Male, 54.7%
Disgusted	45%
Happy	45%
Surprised	45%
Sad	50.4%
Fear	45.4%
Calm	48.5%
Angry	45.6%
Confused	45%

AWS Rekognition

Age	23-37
Gender	Male, 54.4%
Calm	54.1%
Fear	45%
Confused	45%
Surprised	45%
Angry	45%
Happy	45.6%
Sad	45.2%
Disgusted	45%

AWS Rekognition

Age	41-59
Gender	Female, 50%
Surprised	49.5%
Sad	49.7%
Calm	50.2%
Happy	49.5%
Confused	49.5%
Disgusted	49.5%
Fear	49.5%
Angry	49.6%

AWS Rekognition

Age	41-59
Gender	Female, 50.2%
Disgusted	49.5%
Fear	49.7%
Surprised	49.6%
Angry	49.6%
Calm	49.8%
Happy	49.6%
Confused	49.5%
Sad	49.7%

Feature analysis

Amazon

Person	99.2%

Painting	95.8%

Captions

Microsoft
created on 2019-11-16

a vintage photo of a group of people posing for the camera	91.9%

a vintage photo of a group of people posing for a picture	91.8%

an old photo of a group of people posing for the camera	91.7%

Text analysis

Amazon

VIVUM

FADERATE

PACEM

QUA

PAULLO

CONVETUS

DOMO

PHELPP

OFTIA

HISPANEARUM

SOLENNIS

ICON

UTRINQUE

TAX

EXPRIMITUR

EXACTISSEMA.

GENERALEUM

WESTPHALORU

IDEUS

ICON EXACTISSEMA. QUA AD VIVUM EXPRIMITUR PACEM ERPETUAM PEIP'E PAULLO ANTE: SANCITAM EXTRADITIS XLVEL. IDEUS

SOLENNIS CONVETUS LEGATORUM PLENIPOTET NTAIIORLUN UTRINQUE AENTO

ANNO

LEGATORUM

FLEGIS

HISPANEARUM FLEGIS PHELPP OIRDENT

EXTRADITIS

GENERALEUM FADERATE BELGIQUT WESTPHALORU IN DOMO SENATONTA. ANNO CI

PLENIPOTET

SANCITAM

ANTE:

BELGIQUT

NTAIIORLUN

SENATONTA.

ERPETUAM

AENTO

PEIP'E

XLVEL.

OIRDENT

Meloplelooolale

Google

ি TAX OYTINsA RERM 2RECATA Saydt rait PHILIPPE IV. ET ORDINUM HISPANARUM REGIS SOLENNIS CONVETUS LEGATORUM PLENIPOTENTAIRIOR UM ICON EXACTISSIMA . QUA GENERALIUM FADERATI BELGH. QUI PACEM PERPE TUA M PAULLO ANTE SANCITAM. EXTRADLTIS UTRINQUE INSTRUMENTIS, IURAMENTo XLVHI. 1DIBUS MAIL AD VIVUM EXPRIMITUR CONFIR MARUNT. MON ASTERI WESTPHALOR IN SENATORIA AN NO CID 13 C DOMO

ি

TAX

OYTINsA

RERM

2RECATA

Saydt

rait

PHILIPPE

IV.

ORDINUM

HISPANARUM

REGIS

SOLENNIS

CONVETUS

LEGATORUM

PLENIPOTENTAIRIOR

ICON

EXACTISSIMA

QUA

GENERALIUM

FADERATI

BELGH.

QUI

PACEM

PERPE

TUA

PAULLO

ANTE

SANCITAM.

EXTRADLTIS

UTRINQUE

INSTRUMENTIS,

IURAMENTo

XLVHI.

1DIBUS

MAIL

VIVUM

EXPRIMITUR

CONFIR

MARUNT.

MON

ASTERI

WESTPHALOR

SENATORIA

CID

DOMO

Title Ratification of the 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 William Gray from the collection of Francis Calley Gray, G3792

Person	99.2

Human	99.2

Person	96.9

Art	95.8

Painting	95.8

Person	94.3

Person	91.5

Person	88.5

Person	86.9

Person	86.5

Person	82

Person	81.9

Person	81.8

Person	81.1

Person	79.6

Person	75.2

Person	74.5

Person	63.7

Person	60.3

Court	57.6

Room	57.6

Indoors	57.6

people	100

group	100

many	99.9

adult	98.8

leader	98.3

crowd	97.8

administration	97.6

print	97.2

man	97

woman	95.4

group together	93.1

wear	92.3

chair	86.6

furniture	84

child	83.3

seat	81.4

gown (clothing)	81.4

music	81

ceremony	80.3

lithograph	80.2

old	23.7

blackboard	23.3

art	19.1

ancient	16.4

history	16.1

vintage	14.9

sculpture	14.7

outfit	13.3

statue	12.8

historical	12.2

antique	12.2

dress	11.7

people	11.7

religion	11.6

faith	11.5

black	11.4

person	11.2

style	11.1

historic	11

culture	10.2

church	10.2

architecture	10.1

retro	9.8

cathedral	9.7

building	9.6

mystery	9.6

man	9.4

famous	9.3

decoration	9.2

musical instrument	9

costume	8.8

prayer	8.7

scene	8.6

god	8.6

wall	8.5

religious	8.4

monument	8.4

dark	8.3

tradition	8.3

city	8.3

fashion	8.3

cleaning implement	8

singer	7.8

face	7.8

evil	7.8

catholic	7.8

holy	7.7

two	7.6

room	7.6

elegance	7.5

traditional	7.5

drawing	7.4

detail	7.2

dirty	7.2

fantasy	7.2

holiday	7.2

boutique	7.1

interior	7.1

Painting	76.4

Art	67.7

History	67.6

old	97.6

text	94.5

person	94.1

clothing	92.4

posing	81

white	80.1

standing	78.9

black	78.9

group	78.7

clothes	63.7

photograph	53.4

vintage	25.9

streetview architecture	72.5%

paintings art	17.4%

interior objects	8.3%

Human Generated Data

Title

Ratification of the 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 William Gray from the collection of Francis Calley Gray, G3792

Human Generated Data

Title

Ratification of the 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 William Gray from the collection of Francis Calley Gray, G3792

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