AI Data for Education, General: Germany. Berlin. Volkskindergarten: Froebelhaus: Froebelhaus (Public Kindergarten): Berlin: The Orchestra. | AI Explorer

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Human Generated Data

Title Education, General: Germany. Berlin. Volkskindergarten: Froebelhaus: Froebelhaus (Public Kindergarten): Berlin: The Orchestra.	Date 1897
People Artist: Waldemar Franz Herman Titzenthaler, German 1869 - 1937	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.1450.2

Human Generated Data

Title

Education, General: Germany. Berlin. Volkskindergarten: Froebelhaus: Froebelhaus (Public Kindergarten): Berlin: The Orchestra.

People

Artist: Waldemar Franz Herman Titzenthaler, German 1869 - 1937

Date

1897

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.1450.2

Machine Generated Data

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age	4-7
Gender	Female, 52.9%
Calm	45%
Disgusted	45.2%
Happy	45.1%
Confused	45.1%
Surprised	45.1%
Sad	53%
Angry	46.5%

Feature analysis

Amazon

Person

Painting

Person	96.3%

Captions

Microsoft
created on 2019-06-06

a vintage photo of a person	80.6%

a vintage photo of a person in a room	80.5%

a vintage photo of a bedroom	70.6%

Text analysis

Amazon

THE

THE ORCHESTRA.

ORCHESTRA.

18197

Google

ORCHESTRA

THE ORCHESTRA

THE

School	98.5

Room	98.5

Indoors	98.5

Classroom	98.5

Human	96.3

Person	96.3

Person	78.1

Person	71.5

Person	71.2

People	68.1

Painting	64.8

Art	64.8

Person	60.6

people	100

adult	99.1

group	98.5

many	97.8

man	97.8

room	97.2

furniture	95.6

woman	94.6

child	92.3

administration	92

group together	91

leader	90.5

home	89.9

chair	89.2

indoors	86.4

several	81.8

wear	79

sit	79

family	77.8

education	75

room	78.1

interior	64.5

house	45.1

furniture	44.5

home	42.3

table	37.3

decor	35.4

modern	35

chair	29.2

floor	28.8

luxury	26.6

design	25.3

lamp	25

wood	25

architecture	24.2

decoration	23.9

window	23.8

wall	23.2

indoors	22.8

apartment	22

tile	21.7

kitchen	20.9

comfortable	19.1

indoor	18.3

living	18

inside	17.5

residential	17.2

glass	17.2

3d	17

bedroom	16.8

wooden	16.7

style	16.3

hotel	16.2

light	16

clean	15

domestic	14.5

relaxation	14.2

cabinet	13.3

estate	13.3

toilet	13

sofa	13

empty	12.9

chairs	12.7

panel	12.5

seat	12.2

render	12.1

vase	11.6

bathroom	11.4

contemporary	11.3

day	11

elegance	10.9

space	10.9

pillow	10.7

metal	10.5

real	10.4

elegant	10.3

sink	10.2

relax	10.1

carpet	9.7

expensive	9.6

bed	9.5

counter	9.2

faucet	8.9

steel	8.8

luxurious	8.8

classroom	8.8

nobody	8.5

bath	8.5

structure	8.5

classic	8.4

frame	8.3

plant	8.2

hall	8

building	7.9

cozy	7.9

residence	7.8

restaurant	7.8

couch	7.7

comfort	7.7

dinner	7.6

graffito	7.5

shower	7.4

shop	7.3

lifestyle	7.2

Photograph	96.8

Snapshot	87.1

Room	74.4

Adaptation	67

Vintage clothing	62.5

Photography	62.4

Stock photography	59.4

Family	52.5

Art	50.2

person	97.3

clothing	96

man	76.4

old	43.5

Age	4-7
Gender	Female, 54.1%
Confused	45.2%
Angry	45.3%
Disgusted	45.1%
Calm	52.5%
Happy	45.2%
Surprised	45.4%
Sad	46.4%

Age	19-36
Gender	Female, 51.3%
Sad	45.6%
Angry	45.6%
Confused	45.3%
Happy	46.1%
Disgusted	46.4%
Surprised	45.2%
Calm	50.9%

Age	20-38
Gender	Female, 54.7%
Confused	45.3%
Happy	45.5%
Surprised	45.4%
Calm	46.9%
Angry	47.1%
Sad	49.5%
Disgusted	45.3%

Age	35-53
Gender	Female, 51.7%
Calm	47.3%
Surprised	45.1%
Happy	45.1%
Disgusted	45.1%
Angry	45.2%
Sad	52.2%
Confused	45.1%

Age	23-38
Gender	Female, 54.9%
Confused	45.9%
Disgusted	45.3%
Surprised	45.8%
Sad	46.8%
Angry	45.7%
Happy	46.1%
Calm	49.4%

Age	20-38
Gender	Female, 54.8%
Sad	47.4%
Disgusted	45.7%
Calm	45.3%
Confused	45.4%
Happy	47.9%
Surprised	45.7%
Angry	47.6%

Age	14-23
Gender	Female, 50.4%
Surprised	49.5%
Sad	50.5%
Disgusted	49.5%
Happy	49.5%
Confused	49.5%
Calm	49.5%
Angry	49.5%

Age	10-15
Gender	Female, 52.4%
Calm	45.2%
Disgusted	45.2%
Surprised	45.2%
Angry	45.8%
Sad	53.3%
Confused	45.2%
Happy	45.2%

Age	35-53
Gender	Female, 53.9%
Calm	46.8%
Disgusted	45.1%
Surprised	45.3%
Confused	45.2%
Angry	45.6%
Sad	50.5%
Happy	46.5%

Age	26-43
Gender	Female, 54.3%
Disgusted	46.1%
Happy	47%
Angry	45.6%
Calm	47.4%
Surprised	46.3%
Confused	45.7%
Sad	47%

Person	78.1%

Person	71.5%

Person	71.2%

Person	60.6%

Age	4-7
Gender	Female, 52%
Surprised	45.2%
Sad	52.1%
Disgusted	45.3%
Calm	45.6%
Happy	46.5%
Angry	45.2%
Confused	45.1%

Age	20-38
Gender	Female, 50.7%
Surprised	45.4%
Happy	45.2%
Confused	45.4%
Calm	45.7%
Disgusted	45.2%
Sad	49.3%
Angry	48.9%

Age	26-43
Gender	Female, 50.3%
Calm	49.6%
Sad	50.2%
Angry	49.5%
Surprised	49.5%
Disgusted	49.5%
Confused	49.5%
Happy	49.5%

Age	19-36
Gender	Female, 54.6%
Happy	45.3%
Angry	45.4%
Calm	45.6%
Sad	52.6%
Surprised	45.5%
Confused	45.4%
Disgusted	45.3%

people portraits	81.4%

events parties	12.2%

interior objects	2.3%

food drinks	1.8%

paintings art	1.6%

Human Generated Data

Title

Education, General: Germany. Berlin. Volkskindergarten: Froebelhaus: Froebelhaus (Public Kindergarten): Berlin: The Orchestra.

Date

1897

People

Artist: Waldemar Franz Herman Titzenthaler, German 1869 - 1937

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.1450.2

Human Generated Data

Title

Education, General: Germany. Berlin. Volkskindergarten: Froebelhaus: Froebelhaus (Public Kindergarten): Berlin: The Orchestra.

People

Artist: Waldemar Franz Herman Titzenthaler, German 1869 - 1937

Date

1897

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.1450.2

Machine Generated Data

Tags

Amazoncreated on 2019-06-06

Clarifaicreated on 2019-06-06

Imaggacreated on 2019-06-06

Googlecreated on 2019-06-06

Microsoftcreated on 2019-06-06

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

Feature analysis

Amazon

Categories

Imagga

Captions

Microsoftcreated on 2019-06-06

Text analysis

Amazon

Google

Amazon
created on 2019-06-06

Clarifai
created on 2019-06-06

Imagga
created on 2019-06-06

Google
created on 2019-06-06

Microsoft
created on 2019-06-06

Microsoft
created on 2019-06-06