AI Data for Cafe Lafayette | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age	51-69
Gender	Male, 54.9%
Happy	45%
Fear	45%
Calm	46.4%
Disgusted	45%
Confused	45.1%
Surprised	45%
Angry	45.1%
Sad	53.4%

AWS Rekognition

Age	31-47
Gender	Male, 54.5%
Fear	45.4%
Disgusted	45%
Angry	45.4%
Happy	45%
Calm	46.7%
Surprised	45.1%
Sad	52.2%
Confused	45.1%

AWS Rekognition

Age	20-32
Gender	Male, 54.8%
Happy	45%
Surprised	45%
Calm	51.9%
Fear	45.1%
Sad	46.9%
Disgusted	45%
Confused	45.1%
Angry	45.8%

AWS Rekognition

Age	22-34
Gender	Female, 50.1%
Confused	45.1%
Calm	47.6%
Disgusted	45.2%
Surprised	45.1%
Sad	47.7%
Happy	48.7%
Angry	45.2%
Fear	45.3%

AWS Rekognition

Age	21-33
Gender	Male, 54.7%
Angry	45.2%
Sad	48.7%
Happy	45.1%
Fear	45.3%
Confused	45.7%
Surprised	45.1%
Disgusted	45.1%
Calm	49.8%

AWS Rekognition

Age	20-32
Gender	Male, 51.9%
Calm	52.6%
Angry	45.2%
Confused	45.1%
Fear	45.5%
Happy	45.1%
Surprised	46.4%
Sad	45.1%
Disgusted	45.1%

AWS Rekognition

Age	32-48
Gender	Male, 51.8%
Surprised	45.6%
Disgusted	45.1%
Confused	45.1%
Calm	50.7%
Sad	45.4%
Happy	47.7%
Fear	45.2%
Angry	45.2%

AWS Rekognition

Age	2-8
Gender	Female, 50.2%
Fear	49.6%
Surprised	49.5%
Calm	49.9%
Confused	49.5%
Disgusted	49.5%
Happy	49.5%
Sad	49.8%
Angry	49.7%

AWS Rekognition

Age	29-45
Gender	Male, 50.4%
Surprised	49.5%
Confused	49.6%
Happy	49.5%
Angry	49.8%
Calm	49.6%
Fear	49.5%
Disgusted	49.5%
Sad	49.9%

AWS Rekognition

Age	38-56
Gender	Male, 50.3%
Fear	49.5%
Disgusted	49.5%
Confused	49.5%
Angry	49.5%
Happy	49.7%
Calm	49.9%
Surprised	49.5%
Sad	49.8%

AWS Rekognition

Age	20-32
Gender	Female, 53.1%
Calm	45.6%
Angry	45.3%
Disgusted	45.9%
Fear	47.4%
Surprised	45.3%
Sad	49.5%
Confused	45.8%
Happy	45.3%

AWS Rekognition

Age	28-44
Gender	Male, 54%
Happy	45%
Angry	45%
Calm	54.8%
Disgusted	45%
Surprised	45%
Confused	45%
Fear	45%
Sad	45.1%

AWS Rekognition

Age	18-30
Gender	Female, 52.9%
Angry	50.7%
Sad	48.1%
Happy	45%
Calm	45.7%
Surprised	45%
Fear	45.1%
Confused	45.4%
Disgusted	45%

AWS Rekognition

Age	23-35
Gender	Male, 50.4%
Angry	49.5%
Surprised	49.5%
Fear	49.5%
Calm	49.7%
Sad	50.2%
Confused	49.5%
Happy	49.5%
Disgusted	49.5%

AWS Rekognition

Age	22-34
Gender	Female, 51.5%
Calm	47.4%
Confused	46.6%
Happy	48.6%
Fear	45.1%
Disgusted	45.2%
Angry	45.1%
Sad	46.7%
Surprised	45.3%

AWS Rekognition

Age	22-34
Gender	Male, 54.1%
Calm	47.1%
Happy	45%
Sad	49.1%
Angry	47.9%
Disgusted	45.2%
Confused	45.2%
Surprised	45.1%
Fear	45.5%

AWS Rekognition

Age	20-32
Gender	Female, 52.4%
Calm	47.1%
Angry	51.7%
Happy	45.4%
Disgusted	45.2%
Fear	45%
Sad	45%
Confused	45.1%
Surprised	45.5%

AWS Rekognition

Age	31-47
Gender	Male, 50.4%
Fear	49.5%
Disgusted	49.5%
Sad	49.5%
Angry	49.5%
Calm	50.5%
Happy	49.5%
Surprised	49.5%
Confused	49.5%

AWS Rekognition

Age	23-37
Gender	Male, 50.1%
Sad	45.2%
Disgusted	45.1%
Angry	45.2%
Fear	46.1%
Surprised	47.3%
Happy	45.2%
Calm	50.9%
Confused	45.1%

AWS Rekognition

Age	21-33
Gender	Female, 50.3%
Sad	45.5%
Confused	45.2%
Happy	45.1%
Disgusted	45.2%
Calm	53.2%
Angry	45.3%
Surprised	45.3%
Fear	45.1%

AWS Rekognition

Age	21-33
Gender	Male, 50.7%
Fear	45.1%
Sad	45.8%
Disgusted	45%
Happy	45%
Confused	45.2%
Calm	53.7%
Surprised	45.1%
Angry	45%

AWS Rekognition

Age	15-27
Gender	Female, 50.4%
Fear	49.5%
Surprised	49.5%
Angry	49.6%
Sad	49.7%
Calm	50%
Happy	49.6%
Disgusted	49.5%
Confused	49.5%

AWS Rekognition

Age	14-26
Gender	Female, 50.2%
Surprised	49.5%
Calm	50.2%
Angry	49.5%
Disgusted	49.6%
Sad	49.7%
Happy	49.5%
Fear	49.5%
Confused	49.5%

AWS Rekognition

Age	26-40
Gender	Female, 50.4%
Confused	45%
Sad	45.1%
Calm	54.8%
Fear	45%
Happy	45%
Disgusted	45%
Angry	45%
Surprised	45%

AWS Rekognition

Age	23-37
Gender	Female, 50.3%
Angry	49.5%
Disgusted	49.5%
Surprised	49.5%
Fear	49.5%
Happy	49.5%
Confused	49.5%
Calm	50.5%
Sad	49.5%

AWS Rekognition

Age	48-66
Gender	Male, 50.2%
Fear	49.5%
Happy	49.5%
Sad	49.5%
Angry	49.5%
Surprised	49.5%
Confused	50.4%
Disgusted	49.5%
Calm	49.5%

AWS Rekognition

Age	19-31
Gender	Male, 50.3%
Sad	49.7%
Confused	49.5%
Disgusted	49.5%
Happy	49.5%
Fear	49.5%
Calm	50.3%
Surprised	49.5%
Angry	49.5%

AWS Rekognition

Age	20-32
Gender	Female, 50.4%
Happy	49.5%
Angry	49.5%
Surprised	49.5%
Calm	50.3%
Confused	49.5%
Fear	49.5%
Disgusted	49.5%
Sad	49.7%

AWS Rekognition

Age	38-56
Gender	Female, 50.9%
Angry	50.1%
Happy	45.2%
Disgusted	45.5%
Surprised	45.2%
Fear	45.2%
Sad	46.3%
Confused	45.4%
Calm	47.1%

AWS Rekognition

Age	13-23
Gender	Male, 50.3%
Disgusted	49.5%
Angry	49.6%
Happy	49.8%
Sad	49.5%
Confused	49.5%
Calm	49.9%
Fear	49.5%
Surprised	49.6%

AWS Rekognition

Age	7-17
Gender	Male, 50.2%
Surprised	49.5%
Angry	49.5%
Fear	49.5%
Disgusted	49.5%
Happy	49.5%
Calm	50.3%
Confused	49.5%
Sad	49.7%

AWS Rekognition

Age	41-59
Gender	Female, 50%
Angry	50.4%
Disgusted	49.5%
Calm	49.5%
Fear	49.5%
Happy	49.5%
Surprised	49.5%
Sad	49.6%
Confused	49.5%

AWS Rekognition

Age	21-33
Gender	Male, 50.4%
Surprised	49.5%
Confused	49.5%
Happy	49.8%
Angry	49.5%
Calm	49.9%
Fear	49.5%
Disgusted	49.5%
Sad	49.6%

AWS Rekognition

Age	16-28
Gender	Male, 53.7%
Surprised	45.1%
Sad	45.9%
Happy	45%
Calm	45%
Angry	45%
Fear	53.9%
Confused	45%
Disgusted	45%

AWS Rekognition

Age	56-74
Gender	Male, 50.2%
Sad	49.6%
Angry	49.5%
Calm	49.5%
Confused	49.5%
Happy	49.5%
Surprised	49.5%
Disgusted	49.5%
Fear	50.3%

AWS Rekognition

Age	12-22
Gender	Female, 52.1%
Fear	45.5%
Confused	45%
Angry	45%
Surprised	45%
Disgusted	45%
Calm	45.5%
Happy	45%
Sad	53.8%

AWS Rekognition

Age	38-56
Gender	Male, 53.9%
Fear	45.4%
Confused	45.6%
Calm	47.6%
Sad	48.1%
Happy	45.1%
Angry	47.8%
Disgusted	45.2%
Surprised	45.3%

AWS Rekognition

Age	10-20
Gender	Female, 50.4%
Angry	49.8%
Calm	49.8%
Disgusted	49.6%
Happy	49.8%
Fear	49.5%
Confused	49.5%
Surprised	49.5%
Sad	49.5%

AWS Rekognition

Age	14-26
Gender	Female, 50.2%
Surprised	49.5%
Happy	49.5%
Calm	50.2%
Disgusted	49.5%
Angry	49.6%
Fear	49.5%
Confused	49.5%
Sad	49.7%

AWS Rekognition

Age	28-44
Gender	Female, 50.9%
Fear	45%
Disgusted	45.1%
Surprised	45%
Happy	45%
Angry	45%
Sad	54.1%
Confused	45.1%
Calm	45.5%

AWS Rekognition

Age	29-45
Gender	Female, 50.3%
Confused	49.5%
Calm	49.7%
Angry	49.6%
Disgusted	49.6%
Fear	49.8%
Surprised	49.6%
Sad	49.7%
Happy	49.5%

AWS Rekognition

Age	21-33
Gender	Female, 50.1%
Fear	49.5%
Disgusted	49.5%
Angry	49.5%
Confused	49.6%
Happy	49.5%
Calm	49.6%
Surprised	49.5%
Sad	50.3%

Feature analysis

Amazon

Person	98.9%

Poster	57.2%

Captions

Microsoft
created on 2020-04-24

a group of people posing for a photo	83.1%

a group of people posing for the camera	83%

an old photo of a group of people posing for the camera	78.7%

Text analysis

Amazon

AMEN

BEXAGEARA

CET

Google

DAMEN ETAGEAR

DAMEN

ETAGEAR

Title Cafe Lafayette	Date 1928
People Artist: Albert E. Henselmann, German 1890 - 1974	Classification Paintings
Credit Line Harvard Art Museums/Busch-Reisinger Museum, Gift of Mr. and Mrs. Roger Van Nest Powelson, BR71.59

Person	98.9

Human	98.9

Crowd	96.3

Audience	96.3

Person	94.6

Person	87.6

Advertisement	86.7

Indoors	82.2

Interior Design	82.2

Person	81.9

Art	79.8

Person	76.7

Person	74.2

Person	74.1

Collage	71.6

Person	70.4

Person	69.5

Text	64.7

Room	64.1

Poster	57.2

Pedestrian	55.7

Person	50

Person	47.8

Person	46.8

people	100

many	99.9

group	99.9

adult	97.3

crowd	96

man	95.1

group together	92.9

woman	89.9

illustration	88.9

war	88.4

art	88.3

leader	88.2

administration	87.9

child	85.9

several	85.3

wear	81.9

military	81.3

recreation	81.1

uniform	81.1

audience	80.4

decoration	23

freight car	20.5

shop	20.2

art	19.9

old	17.4

brass	17.3

architecture	17.2

building	17.1

car	16.2

graffito	15.9

ancient	14.7

shoe shop	14.2

balcony	13.8

mercantile establishment	13.8

sculpture	13.8

glass	13.5

wheeled vehicle	13

case	12.3

wind instrument	12.1

design	11.2

ornate	11

house	10.8

history	10.7

blackboard	10.5

antique	10.4

chandelier	10.3

famous	10.2

historic	10.1

vehicle	9.8

statue	9.5

culture	9.4

place of business	9.2

travel	9.1

party	8.6

grunge	8.5

black	8.4

church	8.3

city	8.3

structure	8.3

musical instrument	8.3

tourism	8.2

drawing	8.2

style	8.1

landmark	8.1

symbol	8.1

religion	8.1

home	8

interior	7.9

pattern	7.5

decorative	7.5

monument	7.5

rich	7.4

retro	7.4

object	7.3

decor	7.1

window	7

Photograph	95.7

Art	78.6

Picture frame	78.1

Photography	75.7

Room	65.7

Stock photography	59.4

Team	59.4

Collection	57.1

Black-and-white	56.4

Crowd	50.7

text	98.7

cartoon	96.1

person	94.8

clothing	84.7

drawing	81.6

posing	79.1

human face	61.2

old	59.1

man	53.7

picture frame	9.7

Human Generated Data

Title

Cafe Lafayette

Date

1928

People

Artist: Albert E. Henselmann, German 1890 - 1974

Classification

Paintings

Credit Line

Harvard Art Museums/Busch-Reisinger Museum, Gift of Mr. and Mrs. Roger Van Nest Powelson, BR71.59

Human Generated Data

Title

Cafe Lafayette

People

Artist: Albert E. Henselmann, German 1890 - 1974

Date

1928

Classification

Paintings

Credit Line

Harvard Art Museums/Busch-Reisinger Museum, Gift of Mr. and Mrs. Roger Van Nest Powelson, BR71.59

Machine Generated Data

Tags

Amazoncreated on 2020-04-24

Clarifaicreated on 2020-04-24

Imaggacreated on 2020-04-24

Googlecreated on 2020-04-24

Microsoftcreated on 2020-04-24

Color Analysis

Face analysis

Amazon

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

Feature analysis

Amazon

Categories

Imagga

Captions

Microsoftcreated on 2020-04-24

Amazon
created on 2020-04-24

Clarifai
created on 2020-04-24

Imagga
created on 2020-04-24

Google
created on 2020-04-24

Microsoft
created on 2020-04-24

Microsoft
created on 2020-04-24