AI Data for Industrial Problems, Welfare Work: United States. Ohio. Dayton. National Cash Register Company: Welfare Institutions of the National Cash Register Company, Dayton, Ohio: Advantages for Employes' Children.: Girls' Club | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age	19-27
Gender	Female, 100%
Calm	58.5%
Confused	25.8%
Sad	9.1%
Surprised	7.2%
Fear	6.3%
Angry	1.1%
Disgusted	0.7%
Happy	0.4%

AWS Rekognition

Age	19-27
Gender	Female, 100%
Calm	59.5%
Fear	18.5%
Sad	16.8%
Surprised	7.8%
Angry	1.3%
Happy	0.7%
Disgusted	0.6%
Confused	0.4%

AWS Rekognition

Age	6-12
Gender	Female, 100%
Confused	62.2%
Calm	20.3%
Surprised	9.8%
Fear	6.9%
Sad	5.1%
Angry	1.2%
Disgusted	1%
Happy	0.7%

AWS Rekognition

Age	20-28
Gender	Female, 98.9%
Calm	88%
Confused	7.7%
Surprised	6.3%
Fear	5.9%
Sad	3.4%
Angry	0.5%
Disgusted	0.1%
Happy	0.1%

AWS Rekognition

Age	12-20
Gender	Female, 99.8%
Calm	99%
Surprised	6.3%
Fear	5.9%
Sad	2.2%
Angry	0.3%
Confused	0.1%
Disgusted	0%
Happy	0%

AWS Rekognition

Age	20-28
Gender	Female, 99.4%
Calm	93.9%
Surprised	6.4%
Fear	6.2%
Sad	3.8%
Confused	0.3%
Angry	0.2%
Happy	0.2%
Disgusted	0.1%

AWS Rekognition

Age	24-34
Gender	Female, 98.1%
Sad	99%
Calm	24.1%
Surprised	10.1%
Fear	6.5%
Confused	4.1%
Disgusted	3.1%
Angry	2.1%
Happy	0.4%

AWS Rekognition

Age	30-40
Gender	Female, 99.9%
Sad	100%
Surprised	6.3%
Fear	5.9%
Calm	0%
Disgusted	0%
Angry	0%
Confused	0%
Happy	0%

AWS Rekognition

Age	4-10
Gender	Female, 99.7%
Sad	99.8%
Calm	25.6%
Surprised	6.5%
Fear	6.2%
Confused	1.6%
Angry	1.4%
Disgusted	0.5%
Happy	0.2%

AWS Rekognition

Age	27-37
Gender	Male, 99.7%
Calm	79.1%
Confused	10.3%
Surprised	6.7%
Fear	6.5%
Sad	3.7%
Disgusted	1.9%
Angry	1.7%
Happy	0.7%

AWS Rekognition

Age	19-27
Gender	Male, 94.7%
Sad	98.3%
Calm	29.7%
Fear	9.6%
Surprised	6.9%
Confused	2.9%
Disgusted	1.2%
Angry	1.1%
Happy	0.8%

AWS Rekognition

Age	23-33
Gender	Male, 87.3%
Sad	100%
Surprised	6.3%
Fear	6.2%
Angry	2.9%
Calm	1.5%
Disgusted	0.3%
Confused	0.3%
Happy	0.3%

AWS Rekognition

Age	23-31
Gender	Male, 98.9%
Sad	100%
Surprised	6.4%
Fear	6.1%
Confused	3.9%
Calm	0.5%
Angry	0.3%
Disgusted	0.1%
Happy	0%

AWS Rekognition

Age	2-10
Gender	Female, 100%
Fear	96.6%
Surprised	6.6%
Sad	3.6%
Calm	2.3%
Disgusted	0.8%
Angry	0.7%
Confused	0.5%
Happy	0.2%

AWS Rekognition

Age	23-31
Gender	Female, 86.1%
Calm	99.9%
Surprised	6.3%
Fear	5.9%
Sad	2.2%
Confused	0%
Happy	0%
Disgusted	0%
Angry	0%

AWS Rekognition

Age	24-34
Gender	Male, 99.8%
Calm	67.3%
Surprised	14.9%
Confused	14%
Fear	6.7%
Happy	2.6%
Sad	2.5%
Angry	0.9%
Disgusted	0.8%

AWS Rekognition

Age	20-28
Gender	Female, 97.7%
Sad	78.2%
Calm	54.8%
Surprised	6.6%
Fear	6.1%
Angry	5.3%
Confused	1.5%
Disgusted	1%
Happy	0.5%

AWS Rekognition

Age	30-40
Gender	Female, 85.8%
Confused	86.1%
Surprised	9.3%
Fear	6%
Calm	2.6%
Sad	2.4%
Happy	2.2%
Angry	1.7%
Disgusted	1.1%

AWS Rekognition

Age	18-26
Gender	Male, 99.7%
Calm	77.5%
Sad	28.4%
Surprised	6.4%
Fear	6%
Confused	0.6%
Angry	0.3%
Happy	0.3%
Disgusted	0.2%

AWS Rekognition

Age	18-26
Gender	Female, 94.6%
Calm	77.5%
Fear	9%
Surprised	8.4%
Sad	4.3%
Disgusted	4.3%
Angry	1.4%
Happy	0.7%
Confused	0.6%

AWS Rekognition

Age	28-38
Gender	Female, 90.5%
Sad	88.5%
Calm	43.8%
Angry	9.6%
Surprised	6.9%
Fear	6.2%
Disgusted	2.5%
Happy	0.7%
Confused	0.3%

AWS Rekognition

Age	23-33
Gender	Female, 99.8%
Sad	54.3%
Calm	32.5%
Surprised	11.4%
Fear	8.3%
Disgusted	7.5%
Happy	7.1%
Confused	7.1%
Angry	4.6%

AWS Rekognition

Age	30-40
Gender	Female, 89.7%
Confused	94.9%
Surprised	6.6%
Fear	6%
Sad	2.9%
Calm	0.8%
Angry	0.6%
Disgusted	0.5%
Happy	0.2%

AWS Rekognition

Age	26-36
Gender	Female, 99.2%
Calm	91.9%
Surprised	6.4%
Fear	6%
Sad	4.8%
Happy	0.8%
Confused	0.6%
Angry	0.2%
Disgusted	0.2%

Microsoft Cognitive Services

Age	7
Gender	Female

Microsoft Cognitive Services

Age	23
Gender	Female

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 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 likely

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 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 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 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	Unlikely

Google Vision

Surprise	Very unlikely
Anger	Very unlikely
Sorrow	Very unlikely
Joy	Unlikely
Headwear	Very unlikely
Blurred	Possible

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 likely

Google Vision

Surprise	Very unlikely
Anger	Very unlikely
Sorrow	Very unlikely
Joy	Very unlikely
Headwear	Very unlikely
Blurred	Very unlikely

Feature analysis

Amazon

Chair	99.9%

Person	99.6%

Captions

Microsoft
created on 2022-06-25

a group of people standing in a room	98.7%

a group of people in a room	98.6%

a group of people sitting and standing in a room	98.4%

Title Industrial Problems, Welfare Work: United States. Ohio. Dayton. National Cash Register Company: Welfare Institutions of the National Cash Register Company, Dayton, Ohio: Advantages for Employes' Children.: Girls' Club	Date c. 1903
People Artist: Unidentified Artist,	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.514.B.4

classroom	100

room	83.1

people	31.2

kin	24.4

man	22.1

person	18.6

women	18.2

group	17.7

male	17.1

men	16.3

interior	15.9

chair	15.8

table	15.6

indoors	14

sitting	13.7

adult	13.2

happy	13.1

friends	13.1

couple	13

smiling	13

school	12.9

business	12.7

restaurant	12.2

home	11.9

indoor	11.8

girls	11.8

students	11.7

student	11.3

child	11.3

education	11.2

teacher	11

lifestyle	10.8

black	10.8

family	10.7

together	10.5

boy	10.4

inside	10.1

building	9.9

fun	9.7

portrait	9.7

urban	9.6

meeting	9.4

work	9.4

learning	9.4

teamwork	9.3

smile	9.2

city	9.1

cheerful	8.9

mother	8.9

studying	8.6

holiday	8.6

communication	8.4

attractive	8.4

study	8.4

old	8.3

drink	8.3

fashion	8.3

teenager	8.2

office	8.2

scene	7.8

drinking	7.6

two	7.6

enjoying	7.6

leisure	7.5

silhouette	7.4

style	7.4

children	7.3

hall	7.2

team	7.2

dinner	7.1

businessman	7.1

happiness	7

Chair	88.7

Style	83.8

Dress	83.8

Tire	77.2

Monochrome	74.2

Event	73.7

Vintage clothing	72.9

Crew	71.7

Monochrome photography	71.5

Team	70.6

Class	67

Room	64.8

History	63.5

Uniform	60.7

Wheel	60.1

Table	58.4

Curtain	57.1

Sitting	53.4

Family	52.1

person	99.7

clothing	98.3

indoor	97.3

group	91.5

people	85.4

man	81.9

text	81.3

table	80.2

ceiling	71.9

woman	71.1

smile	63.9

furniture	62.4

posing	35.9

restaurant	21.1

interior objects	44.7%

people portraits	36.7%

events parties	8.7%

streetview architecture	5.4%

paintings art	1.9%

pets animals	1.4%

Human Generated Data

Title

Industrial Problems, Welfare Work: United States. Ohio. Dayton. National Cash Register Company: Welfare Institutions of the National Cash Register Company, Dayton, Ohio: Advantages for Employes' Children.: Girls' Club

Date

c. 1903

People

Artist: Unidentified Artist,

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.514.B.4

Human Generated Data

Title

Industrial Problems, Welfare Work: United States. Ohio. Dayton. National Cash Register Company: Welfare Institutions of the National Cash Register Company, Dayton, Ohio: Advantages for Employes' Children.: Girls' Club

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.514.B.4

Machine Generated Data

Tags

Amazoncreated on 2022-06-25

Imaggacreated on 2022-06-25

Googlecreated on 2022-06-25

Microsoftcreated on 2022-06-25

Color Analysis

Face analysis

Amazon

Microsoft

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

Microsoft Cognitive Services

Microsoft Cognitive Services

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Google Vision

Feature analysis

Amazon
created on 2022-06-25

Imagga
created on 2022-06-25

Google
created on 2022-06-25

Microsoft
created on 2022-06-25

Microsoft
created on 2022-06-25