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.: Employes and Sales Agents in Convention | AI Explorer

AWS Rekognition

Age	26-43
Gender	Male, 50.4%
Surprised	49.5%
Sad	49.6%
Angry	49.6%
Happy	50%
Confused	49.5%
Disgusted	49.5%
Calm	49.8%

AWS Rekognition

Age	48-68
Gender	Male, 54.7%
Confused	45.1%
Angry	45.2%
Disgusted	45%
Surprised	45.1%
Sad	45.4%
Calm	54.2%
Happy	45%

AWS Rekognition

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

AWS Rekognition

Age	45-63
Gender	Male, 50.5%
Happy	49.6%
Angry	49.6%
Calm	49.6%
Confused	49.6%
Disgusted	49.8%
Surprised	49.5%
Sad	49.7%

AWS Rekognition

Age	26-43
Gender	Female, 50.1%
Sad	49.6%
Happy	49.9%
Confused	49.6%
Disgusted	49.7%
Calm	49.6%
Angry	49.6%
Surprised	49.6%

AWS Rekognition

Age	26-43
Gender	Male, 50.3%
Sad	50.4%
Disgusted	49.5%
Happy	49.5%
Surprised	49.5%
Angry	49.5%
Calm	49.5%
Confused	49.5%

AWS Rekognition

Age	45-66
Gender	Female, 50.1%
Surprised	49.5%
Happy	49.5%
Sad	49.9%
Angry	49.6%
Disgusted	49.6%
Calm	49.8%
Confused	49.5%

AWS Rekognition

Age	15-25
Gender	Male, 50.4%
Calm	49.5%
Sad	50.3%
Surprised	49.5%
Disgusted	49.6%
Angry	49.5%
Happy	49.5%
Confused	49.5%

AWS Rekognition

Age	38-57
Gender	Male, 50.3%
Calm	49.6%
Sad	49.9%
Angry	49.6%
Confused	49.6%
Happy	49.6%
Disgusted	49.7%
Surprised	49.5%

AWS Rekognition

Age	48-68
Gender	Male, 50%
Angry	49.5%
Sad	50.4%
Disgusted	49.5%
Happy	49.5%
Confused	49.5%
Calm	49.5%
Surprised	49.5%

AWS Rekognition

Age	26-43
Gender	Male, 50.3%
Calm	50%
Angry	49.6%
Sad	49.6%
Happy	49.7%
Confused	49.5%
Surprised	49.5%
Disgusted	49.5%

AWS Rekognition

Age	23-38
Gender	Male, 50.5%
Calm	49.8%
Surprised	49.5%
Disgusted	49.5%
Angry	49.6%
Happy	49.5%
Sad	50%
Confused	49.6%

AWS Rekognition

Age	26-43
Gender	Female, 50.2%
Surprised	49.5%
Sad	50%
Calm	49.6%
Confused	49.5%
Disgusted	49.6%
Happy	49.5%
Angry	49.7%

AWS Rekognition

Age	35-53
Gender	Male, 50.5%
Surprised	49.5%
Sad	49.9%
Happy	49.5%
Confused	49.6%
Calm	49.9%
Angry	49.6%
Disgusted	49.5%

AWS Rekognition

Age	35-52
Gender	Male, 50%
Calm	49.9%
Confused	49.5%
Sad	49.8%
Surprised	49.5%
Happy	49.6%
Disgusted	49.6%
Angry	49.6%

AWS Rekognition

Age	35-52
Gender	Male, 50.5%
Surprised	49.5%
Confused	49.5%
Sad	49.6%
Disgusted	50.2%
Happy	49.5%
Angry	49.6%
Calm	49.5%

AWS Rekognition

Age	15-25
Gender	Female, 50%
Surprised	49.5%
Happy	49.7%
Calm	49.6%
Sad	50%
Disgusted	49.5%
Confused	49.5%
Angry	49.5%

AWS Rekognition

Age	38-57
Gender	Male, 50.5%
Calm	49.6%
Disgusted	49.6%
Confused	49.6%
Happy	49.6%
Angry	49.7%
Sad	49.9%
Surprised	49.5%

AWS Rekognition

Age	17-27
Gender	Male, 50.4%
Calm	49.9%
Sad	49.7%
Surprised	49.5%
Disgusted	49.6%
Happy	49.6%
Angry	49.6%
Confused	49.6%

AWS Rekognition

Age	26-43
Gender	Male, 50.2%
Surprised	49.5%
Confused	49.5%
Happy	49.5%
Calm	49.5%
Disgusted	49.5%
Sad	50.4%
Angry	49.5%

AWS Rekognition

Age	35-55
Gender	Female, 50%
Calm	49.5%
Confused	49.6%
Disgusted	49.6%
Angry	49.6%
Happy	49.7%
Surprised	49.5%
Sad	49.9%

AWS Rekognition

Age	45-63
Gender	Female, 50.1%
Angry	49.6%
Calm	49.5%
Disgusted	49.5%
Happy	49.6%
Confused	49.5%
Sad	50.3%
Surprised	49.5%

AWS Rekognition

Age	30-47
Gender	Male, 50.4%
Calm	49.6%
Sad	49.9%
Surprised	49.5%
Disgusted	49.8%
Angry	49.6%
Happy	49.6%
Confused	49.5%

AWS Rekognition

Age	38-59
Gender	Male, 50.2%
Angry	49.6%
Disgusted	49.5%
Sad	49.9%
Happy	49.6%
Confused	49.6%
Surprised	49.5%
Calm	49.9%

AWS Rekognition

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

AWS Rekognition

Age	14-23
Gender	Male, 50.2%
Surprised	49.5%
Happy	49.5%
Sad	50.1%
Angry	49.6%
Disgusted	49.7%
Calm	49.5%
Confused	49.6%

AWS Rekognition

Age	35-52
Gender	Female, 50.4%
Angry	49.6%
Surprised	49.5%
Happy	49.6%
Disgusted	49.6%
Sad	49.9%
Confused	49.5%
Calm	49.8%

AWS Rekognition

Age	26-43
Gender	Female, 50.1%
Angry	49.5%
Sad	50.4%
Happy	49.5%
Disgusted	49.5%
Calm	49.5%
Surprised	49.5%
Confused	49.5%

AWS Rekognition

Age	35-52
Gender	Male, 50.4%
Calm	50.2%
Disgusted	49.5%
Sad	49.5%
Happy	49.7%
Confused	49.5%
Surprised	49.5%
Angry	49.5%

AWS Rekognition

Age	20-38
Gender	Male, 50.2%
Disgusted	49.5%
Happy	49.5%
Surprised	49.5%
Calm	49.5%
Angry	49.6%
Confused	49.5%
Sad	50.3%

AWS Rekognition

Age	26-43
Gender	Male, 50.1%
Happy	49.5%
Disgusted	49.6%
Surprised	49.5%
Angry	49.5%
Sad	50.2%
Confused	49.5%
Calm	49.7%

AWS Rekognition

Age	26-43
Gender	Male, 50.3%
Confused	49.6%
Calm	49.7%
Angry	49.7%
Surprised	49.5%
Sad	49.9%
Happy	49.5%
Disgusted	49.5%

AWS Rekognition

Age	15-25
Gender	Male, 50.2%
Happy	49.6%
Disgusted	49.5%
Calm	49.7%
Sad	50.1%
Confused	49.5%
Surprised	49.5%
Angry	49.6%

AWS Rekognition

Age	48-68
Gender	Male, 50.3%
Angry	49.5%
Disgusted	49.6%
Sad	50.2%
Surprised	49.5%
Happy	49.6%
Calm	49.6%
Confused	49.5%

AWS Rekognition

Age	48-68
Gender	Male, 50.5%
Disgusted	49.5%
Surprised	49.5%
Happy	49.5%
Calm	49.5%
Angry	49.7%
Confused	49.6%
Sad	50.1%

AWS Rekognition

Age	38-59
Gender	Female, 50.1%
Disgusted	49.5%
Sad	50.1%
Calm	49.8%
Surprised	49.5%
Angry	49.5%
Happy	49.5%
Confused	49.5%

AWS Rekognition

Age	17-27
Gender	Female, 50.2%
Calm	49.6%
Surprised	49.5%
Disgusted	49.6%
Angry	49.6%
Happy	50%
Sad	49.7%
Confused	49.5%

AWS Rekognition

Age	20-38
Gender	Male, 50.2%
Calm	49.5%
Angry	49.6%
Sad	49.6%
Happy	49.6%
Confused	49.5%
Surprised	49.5%
Disgusted	50.2%

AWS Rekognition

Age	35-52
Gender	Female, 50.2%
Disgusted	49.6%
Happy	49.6%
Calm	49.6%
Angry	49.6%
Surprised	49.5%
Confused	49.5%
Sad	50.1%

AWS Rekognition

Age	17-27
Gender	Male, 50%
Calm	49.5%
Confused	49.5%
Disgusted	49.6%
Angry	49.8%
Happy	49.6%
Surprised	49.5%
Sad	50%

AWS Rekognition

Age	20-38
Gender	Female, 50.3%
Confused	49.6%
Surprised	49.5%
Angry	49.7%
Calm	49.6%
Sad	49.9%
Happy	49.6%
Disgusted	49.7%

AWS Rekognition

Age	48-68
Gender	Male, 50.5%
Sad	49.6%
Confused	49.6%
Angry	50%
Calm	49.7%
Surprised	49.5%
Happy	49.5%
Disgusted	49.6%

AWS Rekognition

Age	17-27
Gender	Male, 50.1%
Calm	49.7%
Sad	49.9%
Surprised	49.5%
Disgusted	49.5%
Angry	49.5%
Happy	49.7%
Confused	49.5%

AWS Rekognition

Age	35-52
Gender	Male, 50.4%
Angry	49.6%
Sad	49.6%
Disgusted	50%
Calm	49.8%
Surprised	49.5%
Confused	49.5%
Happy	49.5%

AWS Rekognition

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

AWS Rekognition

Age	35-53
Gender	Female, 50%
Surprised	49.5%
Angry	49.6%
Disgusted	49.6%
Happy	49.6%
Calm	49.6%
Sad	50%
Confused	49.5%

AWS Rekognition

Age	35-53
Gender	Male, 50.3%
Surprised	49.5%
Confused	49.5%
Happy	49.5%
Calm	49.5%
Disgusted	49.5%
Sad	50.4%
Angry	49.6%

AWS Rekognition

Age	35-52
Gender	Male, 50.4%
Happy	49.7%
Angry	49.6%
Calm	49.6%
Confused	49.6%
Disgusted	49.7%
Surprised	49.5%
Sad	49.7%

AWS Rekognition

Age	38-59
Gender	Male, 50%
Sad	49.7%
Happy	49.7%
Confused	49.5%
Disgusted	49.6%
Calm	49.9%
Angry	49.6%
Surprised	49.5%

AWS Rekognition

Age	35-55
Gender	Male, 50.3%
Surprised	49.5%
Happy	49.6%
Disgusted	49.5%
Calm	49.6%
Sad	50%
Angry	49.7%
Confused	49.6%

AWS Rekognition

Age	20-38
Gender	Male, 50.4%
Sad	49.9%
Disgusted	49.5%
Calm	49.7%
Confused	49.6%
Angry	49.7%
Surprised	49.5%
Happy	49.6%

AWS Rekognition

Age	23-38
Gender	Female, 50%
Confused	49.6%
Surprised	49.5%
Sad	49.8%
Calm	49.5%
Happy	49.9%
Angry	49.6%
Disgusted	49.7%

AWS Rekognition

Age	48-68
Gender	Male, 50.5%
Calm	50.3%
Confused	49.5%
Happy	49.5%
Angry	49.6%
Sad	49.6%
Surprised	49.5%
Disgusted	49.5%

AWS Rekognition

Age	26-43
Gender	Female, 50.4%
Calm	49.7%
Surprised	49.5%
Disgusted	49.5%
Angry	49.5%
Happy	49.5%
Sad	50.1%
Confused	49.5%

AWS Rekognition

Age	16-27
Gender	Male, 50.2%
Disgusted	49.5%
Happy	49.6%
Confused	49.6%
Sad	49.9%
Calm	49.7%
Angry	49.6%
Surprised	49.6%

AWS Rekognition

Age	17-27
Gender	Male, 50%
Sad	49.8%
Calm	49.8%
Angry	49.6%
Disgusted	49.6%
Surprised	49.6%
Confused	49.5%
Happy	49.6%

AWS Rekognition

Age	26-43
Gender	Male, 50.4%
Happy	49.8%
Disgusted	49.6%
Confused	49.5%
Surprised	49.5%
Sad	49.6%
Angry	49.6%
Calm	49.8%

AWS Rekognition

Age	27-44
Gender	Male, 50.3%
Happy	49.6%
Surprised	49.5%
Angry	49.6%
Calm	49.5%
Sad	49.6%
Disgusted	50.2%
Confused	49.5%

AWS Rekognition

Age	23-38
Gender	Male, 50.3%
Calm	49.7%
Surprised	49.5%
Confused	49.6%
Sad	49.6%
Angry	49.6%
Disgusted	49.8%
Happy	49.6%

AWS Rekognition

Age	16-27
Gender	Male, 50.2%
Angry	49.6%
Surprised	49.5%
Happy	49.5%
Disgusted	49.6%
Sad	50.2%
Confused	49.5%
Calm	49.6%

AWS Rekognition

Age	48-68
Gender	Male, 50.3%
Confused	49.5%
Disgusted	49.5%
Sad	50.3%
Surprised	49.5%
Calm	49.5%
Angry	49.5%
Happy	49.6%

AWS Rekognition

Age	26-43
Gender	Female, 50.1%
Happy	49.7%
Disgusted	49.6%
Calm	49.5%
Sad	50.1%
Confused	49.5%
Surprised	49.5%
Angry	49.6%

AWS Rekognition

Age	23-38
Gender	Female, 50.1%
Calm	49.5%
Angry	49.5%
Happy	49.5%
Confused	49.5%
Surprised	49.5%
Disgusted	49.6%
Sad	50.2%

AWS Rekognition

Age	57-77
Gender	Male, 50.2%
Surprised	49.5%
Confused	49.5%
Happy	49.5%
Calm	49.6%
Disgusted	49.5%
Sad	50%
Angry	49.9%

AWS Rekognition

Age	26-43
Gender	Male, 50.3%
Disgusted	49.6%
Calm	49.6%
Confused	49.5%
Happy	49.6%
Sad	50%
Angry	49.6%
Surprised	49.5%

AWS Rekognition

Age	26-43
Gender	Female, 50.1%
Calm	49.6%
Disgusted	49.6%
Happy	49.8%
Surprised	49.5%
Sad	49.8%
Angry	49.6%
Confused	49.5%

AWS Rekognition

Age	48-68
Gender	Female, 54.7%
Sad	50.7%
Calm	47.2%
Disgusted	45.2%
Confused	45.5%
Angry	45.3%
Surprised	45.2%
Happy	45.9%

AWS Rekognition

Age	26-43
Gender	Male, 50.1%
Surprised	49.5%
Disgusted	50%
Calm	49.7%
Confused	49.5%
Angry	49.6%
Sad	49.6%
Happy	49.5%

AWS Rekognition

Age	26-43
Gender	Male, 50.5%
Surprised	49.6%
Confused	49.6%
Sad	49.9%
Disgusted	49.6%
Happy	49.6%
Angry	49.5%
Calm	49.7%

AWS Rekognition

Age	35-52
Gender	Female, 50.1%
Sad	49.7%
Happy	49.7%
Confused	49.6%
Disgusted	49.8%
Calm	49.6%
Angry	49.6%
Surprised	49.6%

AWS Rekognition

Age	23-38
Gender	Male, 50.1%
Happy	49.9%
Sad	49.6%
Disgusted	49.5%
Angry	49.6%
Surprised	49.6%
Calm	49.6%
Confused	49.6%

AWS Rekognition

Age	35-55
Gender	Female, 50.1%
Confused	49.5%
Surprised	49.5%
Sad	50.4%
Calm	49.5%
Happy	49.5%
Angry	49.5%
Disgusted	49.5%

AWS Rekognition

Age	48-68
Gender	Female, 50.2%
Happy	50%
Sad	49.6%
Disgusted	49.5%
Angry	49.6%
Surprised	49.5%
Calm	49.7%
Confused	49.5%

AWS Rekognition

Age	20-38
Gender	Female, 50.2%
Sad	49.7%
Disgusted	49.6%
Confused	49.7%
Happy	49.6%
Calm	49.7%
Surprised	49.6%
Angry	49.6%

AWS Rekognition

Age	26-43
Gender	Male, 50.1%
Calm	49.5%
Angry	49.5%
Happy	50%
Confused	49.5%
Surprised	49.5%
Disgusted	49.5%
Sad	49.9%

AWS Rekognition

Age	26-43
Gender	Male, 50.4%
Surprised	49.5%
Sad	49.9%
Calm	49.8%
Confused	49.5%
Disgusted	49.5%
Happy	49.5%
Angry	49.6%

AWS Rekognition

Age	15-25
Gender	Female, 50.1%
Angry	49.6%
Surprised	49.5%
Happy	49.8%
Disgusted	49.6%
Sad	49.9%
Confused	49.6%
Calm	49.5%

AWS Rekognition

Age	20-38
Gender	Female, 50.3%
Sad	49.9%
Calm	49.6%
Disgusted	49.9%
Confused	49.5%
Angry	49.6%
Surprised	49.5%
Happy	49.5%

AWS Rekognition

Age	26-43
Gender	Male, 50.1%
Calm	49.6%
Sad	50.1%
Surprised	49.5%
Disgusted	49.6%
Happy	49.6%
Angry	49.6%
Confused	49.5%

AWS Rekognition

Age	26-43
Gender	Female, 50.3%
Confused	49.6%
Surprised	49.5%
Sad	49.8%
Calm	49.9%
Happy	49.6%
Angry	49.6%
Disgusted	49.5%

AWS Rekognition

Age	26-43
Gender	Male, 50%
Sad	49.6%
Calm	49.8%
Disgusted	49.6%
Confused	49.5%
Angry	49.9%
Surprised	49.5%
Happy	49.5%

AWS Rekognition

Age	48-68
Gender	Female, 50.2%
Angry	49.5%
Disgusted	49.5%
Sad	50.4%
Surprised	49.5%
Happy	49.5%
Calm	49.5%
Confused	49.5%

AWS Rekognition

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

AWS Rekognition

Age	38-57
Gender	Male, 50.1%
Happy	49.5%
Disgusted	49.5%
Surprised	49.5%
Angry	49.5%
Sad	50.4%
Confused	49.5%
Calm	49.5%

AWS Rekognition

Age	26-44
Gender	Female, 50%
Confused	49.5%
Angry	49.6%
Disgusted	49.8%
Surprised	49.5%
Sad	49.6%
Calm	49.5%
Happy	49.9%

AWS Rekognition

Age	45-65
Gender	Male, 50.1%
Calm	49.5%
Sad	50.4%
Surprised	49.5%
Disgusted	49.5%
Angry	49.5%
Happy	49.5%
Confused	49.5%

AWS Rekognition

Age	23-38
Gender	Female, 50.3%
Calm	50%
Surprised	49.6%
Disgusted	49.5%
Angry	49.6%
Happy	49.6%
Sad	49.6%
Confused	49.6%

AWS Rekognition

Age	35-52
Gender	Female, 50.4%
Happy	49.6%
Surprised	49.5%
Angry	49.5%
Calm	49.5%
Sad	50.4%
Disgusted	49.5%
Confused	49.5%

AWS Rekognition

Age	26-43
Gender	Female, 50.1%
Angry	49.7%
Surprised	49.5%
Sad	49.8%
Disgusted	49.6%
Confused	49.5%
Happy	49.8%
Calm	49.6%

AWS Rekognition

Age	48-68
Gender	Male, 50.4%
Sad	49.8%
Disgusted	49.5%
Happy	49.9%
Angry	49.6%
Surprised	49.6%
Calm	49.6%
Confused	49.5%

AWS Rekognition

Age	48-68
Gender	Female, 50.3%
Confused	49.5%
Angry	49.6%
Disgusted	49.7%
Surprised	49.5%
Sad	50%
Calm	49.5%
Happy	49.7%

AWS Rekognition

Age	48-68
Gender	Female, 50.3%
Surprised	49.5%
Happy	49.6%
Calm	49.6%
Sad	49.9%
Disgusted	49.6%
Confused	49.6%
Angry	49.8%

AWS Rekognition

Age	26-44
Gender	Male, 50.2%
Surprised	49.5%
Confused	49.5%
Angry	49.6%
Happy	49.6%
Disgusted	49.5%
Sad	50.3%
Calm	49.5%

AWS Rekognition

Age	23-38
Gender	Female, 50.1%
Surprised	49.5%
Sad	49.6%
Angry	49.7%
Happy	49.5%
Confused	49.5%
Disgusted	49.5%
Calm	50.1%

AWS Rekognition

Age	49-69
Gender	Male, 50.5%
Sad	49.6%
Disgusted	49.8%
Happy	49.5%
Surprised	49.5%
Angry	49.6%
Calm	49.9%
Confused	49.5%

AWS Rekognition

Age	35-52
Gender	Male, 50%
Surprised	49.5%
Happy	49.7%
Sad	49.9%
Angry	49.5%
Disgusted	49.7%
Calm	49.6%
Confused	49.5%

AWS Rekognition

Age	26-43
Gender	Female, 50.5%
Confused	49.5%
Calm	49.6%
Angry	49.6%
Surprised	49.5%
Sad	50.3%
Happy	49.5%
Disgusted	49.5%

AWS Rekognition

Age	14-23
Gender	Female, 50.4%
Sad	50.2%
Disgusted	49.5%
Confused	49.5%
Happy	49.6%
Calm	49.5%
Surprised	49.5%
Angry	49.6%

AWS Rekognition

Age	23-38
Gender	Female, 50.3%
Sad	50.2%
Disgusted	49.5%
Angry	49.5%
Confused	49.5%
Calm	49.5%
Surprised	49.5%
Happy	49.6%

Title Industrial Problems, Welfare Work: United States. Ohio. Dayton. National Cash Register Company: Welfare Institutions of the National Cash Register Company, Dayton, Ohio.: Employes and Sales Agents in Convention	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, 3.2002.3519.B.4

Crowd	99.9

Human	99.9

Audience	99.9

Person	99.2

Person	99.1

Person	98.8

Person	98.7

Person	98.1

Person	97.8

Person	97.5

Person	97.4

Furniture	95

Person	91.7

Person	86.8

Person	83

Person	81.3

Indoors	79.5

Room	79.5

Table	79.4

Person	78.2

Chair	75.1

Person	72.4

Interior Design	68.5

Person	65.8

Person	65.3

Person	64.4

People	64.3

Speech	61.1

Lecture	59.1

Chair	57.8

Dining Table	57.8

Tabletop	56.9

people	100

many	100

group together	99.7

group	99.4

crowd	98.4

adult	97.1

man	95.7

administration	94.8

audience	94.7

spectator	93.9

chair	92.6

woman	91.9

leader	90.7

military	88.7

recreation	88.1

furniture	85.8

war	85.3

music	76.5

several	73

child	72.4

greenhouse	100

building	100

structure	100

school	31.3

architecture	22.6

interior	19.4

construction	16.2

roof	15.2

house	15

sky	14.7

modern	14

glass	14

urban	14

inside	12.9

city	11.6

business	11.5

light	11.3

plant	11.2

home	11.2

industry	11.1

travel	10.6

table	10.4

window	10.1

garden	10.1

steel	9.7

landscape	9.7

sun	9.7

design	9.6

island	9.1

summer	9

outdoors	9

flower	8.5

wood	8.3

tourism	8.2

new	8.1

flora	8.1

metal	8

umbrella	7.9

flowers	7.8

chair	7.6

plants	7.4

industrial	7.3

futuristic	7.2

transportation	7.2

day	7.1

People	93.9

Crowd	88.9

Event	81

Audience	63.4

Black-and-white	56.4

streetview architecture	52.6%

interior objects	34.2%

events parties	10%

people portraits	1.2%

a group of people standing in front of a crowd	86.6%

a group of people standing in front of a building	86.5%

a group of people in front of a building	86.4%

outdoor	98.6

person	89.3

clothing	88.9

man	78.9

people	61.6

crowd	2.6

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.: Employes and Sales Agents in Convention

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, 3.2002.3519.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.: Employes and Sales Agents in Convention

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, 3.2002.3519.B.4

Machine Generated Data

Tags

Amazoncreated on 2019-06-05

Clarifaicreated on 2019-06-05

Imaggacreated on 2019-06-05

Googlecreated on 2019-06-05

Microsoftcreated on 2019-06-05

Color Analysis

Face analysis

Amazon

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Amazon
created on 2019-06-05

Clarifai
created on 2019-06-05

Imagga
created on 2019-06-05

Google
created on 2019-06-05

Microsoft
created on 2019-06-05

Microsoft
created on 2019-06-05