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.: Convention of Sales Agents | AI Explorer

AWS Rekognition

Age	29-45
Gender	Male, 53.1%
Sad	46.5%
Happy	45.8%
Confused	45.9%
Disgusted	47.3%
Calm	46.8%
Angry	46.5%
Surprised	46.3%

AWS Rekognition

Age	38-59
Gender	Male, 54.2%
Sad	54.4%
Happy	45%
Angry	45.3%
Calm	45.1%
Surprised	45%
Confused	45.1%
Disgusted	45.1%

AWS Rekognition

Age	45-63
Gender	Male, 53.4%
Surprised	46.1%
Disgusted	46.2%
Calm	46.4%
Confused	46.2%
Angry	46.1%
Sad	48.6%
Happy	45.6%

AWS Rekognition

Age	26-43
Gender	Male, 54.8%
Angry	45.4%
Happy	45%
Surprised	45.1%
Disgusted	45.1%
Sad	50.9%
Confused	45.7%
Calm	47.7%

AWS Rekognition

Age	38-57
Gender	Male, 53.2%
Calm	45.6%
Surprised	45.4%
Confused	45.4%
Sad	50.5%
Angry	47.7%
Disgusted	45.2%
Happy	45.1%

AWS Rekognition

Age	26-43
Gender	Male, 50.4%
Sad	49.6%
Disgusted	49.6%
Happy	49.8%
Surprised	49.6%
Angry	49.6%
Calm	49.7%
Confused	49.6%

AWS Rekognition

Age	38-59
Gender	Male, 54.9%
Confused	45.3%
Angry	45.5%
Disgusted	45.1%
Surprised	45.1%
Sad	50.7%
Calm	47.9%
Happy	45.4%

AWS Rekognition

Age	26-43
Gender	Male, 51.5%
Angry	45.8%
Disgusted	45.3%
Sad	52.2%
Surprised	45.3%
Happy	45.6%
Calm	45.4%
Confused	45.4%

AWS Rekognition

Age	35-55
Gender	Male, 54.8%
Angry	45.5%
Sad	52.1%
Calm	46.2%
Surprised	45.2%
Confused	45.3%
Disgusted	45.3%
Happy	45.4%

AWS Rekognition

Age	11-18
Gender	Female, 52.4%
Surprised	45.4%
Confused	45.5%
Sad	50.9%
Disgusted	45.3%
Happy	45.4%
Angry	46.1%
Calm	46.4%

AWS Rekognition

Age	11-18
Gender	Female, 50.2%
Angry	49.6%
Surprised	49.5%
Sad	49.8%
Disgusted	49.5%
Confused	49.5%
Happy	49.6%
Calm	49.9%

AWS Rekognition

Age	35-52
Gender	Male, 54.3%
Confused	45.3%
Disgusted	45.2%
Sad	47.4%
Surprised	45.2%
Calm	45.6%
Angry	51.2%
Happy	45.1%

AWS Rekognition

Age	57-77
Gender	Male, 54.4%
Calm	48.9%
Sad	45.9%
Angry	45.9%
Confused	45.5%
Happy	46.7%
Disgusted	46.4%
Surprised	45.5%

AWS Rekognition

Age	26-43
Gender	Male, 53.3%
Surprised	46.3%
Sad	47.4%
Calm	46.1%
Confused	45.8%
Disgusted	45.9%
Happy	45.3%
Angry	48.2%

AWS Rekognition

Age	26-43
Gender	Male, 54.1%
Confused	45.6%
Surprised	45.9%
Angry	45.8%
Calm	50%
Sad	46.4%
Happy	45.7%
Disgusted	45.6%

AWS Rekognition

Age	49-69
Gender	Male, 50.7%
Angry	45.8%
Sad	47.2%
Disgusted	45.4%
Calm	48.5%
Surprised	47.1%
Confused	45.6%
Happy	45.4%

AWS Rekognition

Age	26-43
Gender	Male, 54.6%
Calm	48%
Disgusted	45.9%
Happy	46.2%
Surprised	45.4%
Sad	48.5%
Angry	45.7%
Confused	45.4%

AWS Rekognition

Age	14-25
Gender	Female, 52.3%
Calm	45.5%
Disgusted	45%
Sad	53.9%
Happy	45.2%
Confused	45.1%
Surprised	45.1%
Angry	45.2%

AWS Rekognition

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

AWS Rekognition

Age	45-63
Gender	Male, 50.2%
Surprised	49.6%
Angry	49.6%
Disgusted	49.6%
Happy	49.6%
Calm	49.9%
Sad	49.7%
Confused	49.6%

AWS Rekognition

Age	26-44
Gender	Male, 53.8%
Calm	46.4%
Sad	46.1%
Angry	50%
Confused	45.6%
Happy	45.9%
Disgusted	45.3%
Surprised	45.7%

AWS Rekognition

Age	23-38
Gender	Male, 53.3%
Sad	52.2%
Disgusted	45.1%
Angry	45.3%
Confused	45.1%
Calm	46.1%
Surprised	45.1%
Happy	46.1%

AWS Rekognition

Age	35-55
Gender	Female, 50.1%
Surprised	49.6%
Disgusted	49.6%
Sad	49.6%
Calm	50%
Happy	49.6%
Confused	49.5%
Angry	49.6%

AWS Rekognition

Age	19-36
Gender	Female, 50%
Surprised	49.5%
Confused	49.5%
Happy	49.5%
Calm	49.5%
Disgusted	49.5%
Sad	50.3%
Angry	49.5%

AWS Rekognition

Age	48-68
Gender	Male, 53.7%
Angry	46.2%
Sad	48.1%
Happy	45.7%
Disgusted	45.6%
Calm	48.2%
Surprised	45.7%
Confused	45.6%

AWS Rekognition

Age	35-55
Gender	Male, 50.4%
Surprised	49.5%
Happy	49.6%
Calm	49.7%
Sad	49.6%
Disgusted	49.9%
Confused	49.5%
Angry	49.7%

AWS Rekognition

Age	14-25
Gender	Female, 50.1%
Angry	49.6%
Calm	50.2%
Disgusted	49.5%
Happy	49.5%
Confused	49.5%
Sad	49.5%
Surprised	49.5%

AWS Rekognition

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

AWS Rekognition

Age	38-59
Gender	Female, 50.2%
Disgusted	49.5%
Sad	50.5%
Calm	49.5%
Surprised	49.5%
Angry	49.5%
Happy	49.5%
Confused	49.5%

AWS Rekognition

Age	45-66
Gender	Male, 54.3%
Sad	49.3%
Happy	45.3%
Confused	46.1%
Disgusted	46.3%
Calm	46.1%
Angry	46.5%
Surprised	45.5%

AWS Rekognition

Age	45-63
Gender	Female, 51.5%
Angry	47.3%
Happy	45.1%
Surprised	45.1%
Disgusted	45.3%
Sad	51.4%
Confused	45.3%
Calm	45.6%

AWS Rekognition

Age	45-65
Gender	Male, 54.7%
Sad	47.5%
Disgusted	45.6%
Happy	45.9%
Surprised	45.4%
Angry	45.7%
Calm	49.6%
Confused	45.3%

AWS Rekognition

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

AWS Rekognition

Age	38-57
Gender	Male, 50.3%
Surprised	49.5%
Sad	50.2%
Happy	49.6%
Confused	49.5%
Calm	49.5%
Angry	49.6%
Disgusted	49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age	45-63
Gender	Male, 50.2%
Happy	49.5%
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, 53.4%
Angry	45.2%
Calm	45.2%
Disgusted	45.2%
Happy	53.3%
Confused	45.2%
Sad	45.5%
Surprised	45.4%

AWS Rekognition

Age	57-77
Gender	Male, 50.3%
Confused	49.5%
Calm	49.6%
Angry	49.8%
Surprised	49.5%
Sad	50%
Happy	49.5%
Disgusted	49.6%

AWS Rekognition

Age	38-59
Gender	Male, 50.4%
Calm	49.5%
Disgusted	49.6%
Sad	49.7%
Angry	50.1%
Happy	49.5%
Confused	49.5%
Surprised	49.5%

AWS Rekognition

Age	16-27
Gender	Female, 50.5%
Disgusted	49.6%
Happy	49.6%
Surprised	49.6%
Calm	49.8%
Angry	49.7%
Confused	49.6%
Sad	49.7%

AWS Rekognition

Age	26-43
Gender	Female, 50.4%
Calm	49.7%
Sad	49.7%
Disgusted	49.6%
Surprised	49.6%
Confused	49.6%
Happy	49.7%
Angry	49.8%

AWS Rekognition

Age	35-52
Gender	Female, 50.2%
Calm	49.5%
Angry	49.6%
Happy	49.5%
Surprised	49.5%
Confused	49.5%
Disgusted	49.5%
Sad	50.3%

AWS Rekognition

Age	48-68
Gender	Male, 50.4%
Surprised	49.5%
Happy	49.5%
Disgusted	49.5%
Calm	49.5%
Sad	50.3%
Angry	49.6%
Confused	49.5%

AWS Rekognition

Age	26-43
Gender	Male, 50.4%
Confused	49.6%
Disgusted	49.7%
Sad	49.9%
Surprised	49.6%
Calm	49.6%
Angry	49.6%
Happy	49.5%

AWS Rekognition

Age	19-36
Gender	Female, 50.4%
Happy	49.5%
Disgusted	49.5%
Confused	49.6%
Surprised	49.5%
Sad	49.8%
Angry	49.5%
Calm	50.1%

AWS Rekognition

Age	20-38
Gender	Male, 50.3%
Confused	49.5%
Surprised	49.5%
Angry	49.5%
Calm	49.5%
Sad	50.4%
Happy	49.5%
Disgusted	49.5%

AWS Rekognition

Age	26-43
Gender	Male, 50.3%
Disgusted	49.6%
Happy	49.5%
Calm	49.7%
Angry	49.8%
Surprised	49.5%
Confused	49.6%
Sad	49.8%

AWS Rekognition

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

AWS Rekognition

Age	35-52
Gender	Male, 50.2%
Surprised	49.5%
Sad	50%
Happy	49.6%
Confused	49.5%
Calm	49.6%
Angry	49.7%
Disgusted	49.5%

AWS Rekognition

Age	35-55
Gender	Male, 54.4%
Surprised	45.8%
Confused	45.6%
Angry	45.8%
Happy	45.6%
Disgusted	45.6%
Sad	47.8%
Calm	48.9%

AWS Rekognition

Age	19-36
Gender	Female, 50.1%
Angry	49.5%
Sad	49.9%
Happy	49.5%
Disgusted	49.5%
Calm	49.6%
Surprised	49.6%
Confused	49.9%

AWS Rekognition

Age	35-52
Gender	Male, 50.5%
Angry	49.6%
Sad	49.7%
Disgusted	49.5%
Calm	49.8%
Surprised	49.5%
Confused	49.6%
Happy	49.8%

AWS Rekognition

Age	29-45
Gender	Male, 50.4%
Calm	50.3%
Angry	49.5%
Sad	49.5%
Happy	49.6%
Confused	49.5%
Surprised	49.5%
Disgusted	49.5%

AWS Rekognition

Age	20-38
Gender	Female, 50.1%
Angry	49.5%
Disgusted	49.5%
Surprised	49.6%
Happy	49.6%
Calm	49.9%
Sad	49.7%
Confused	49.6%

AWS Rekognition

Age	45-66
Gender	Female, 50.2%
Sad	49.6%
Calm	50.2%
Angry	49.5%
Disgusted	49.5%
Surprised	49.5%
Confused	49.5%
Happy	49.5%

AWS Rekognition

Age	38-59
Gender	Male, 50.3%
Sad	49.7%
Calm	49.8%
Disgusted	49.6%
Confused	49.6%
Angry	49.7%
Surprised	49.5%
Happy	49.5%

AWS Rekognition

Age	26-43
Gender	Female, 52.8%
Surprised	45.3%
Happy	46%
Sad	47.1%
Angry	50.9%
Disgusted	45.4%
Calm	45.1%
Confused	45.2%

AWS Rekognition

Age	35-52
Gender	Female, 50.2%
Calm	49.5%
Disgusted	49.8%
Happy	49.8%
Surprised	49.6%
Sad	49.6%
Angry	49.6%
Confused	49.6%

AWS Rekognition

Age	35-52
Gender	Male, 50.4%
Disgusted	49.9%
Confused	49.5%
Calm	49.6%
Angry	49.6%
Happy	49.7%
Sad	49.7%
Surprised	49.6%

AWS Rekognition

Age	26-44
Gender	Female, 50.4%
Sad	49.8%
Happy	49.8%
Angry	49.6%
Calm	49.7%
Surprised	49.6%
Confused	49.5%
Disgusted	49.6%

AWS Rekognition

Age	26-43
Gender	Male, 50.4%
Disgusted	49.5%
Calm	49.6%
Confused	49.6%
Happy	49.6%
Sad	50.1%
Angry	49.6%
Surprised	49.6%

AWS Rekognition

Age	57-77
Gender	Male, 50.4%
Confused	49.5%
Sad	50.3%
Happy	49.5%
Surprised	49.5%
Disgusted	49.6%
Calm	49.5%
Angry	49.5%

AWS Rekognition

Age	35-55
Gender	Male, 50.4%
Confused	49.5%
Sad	50.3%
Angry	49.7%
Calm	49.5%
Happy	49.5%
Disgusted	49.5%
Surprised	49.5%

AWS Rekognition

Age	20-38
Gender	Female, 50%
Angry	49.8%
Surprised	49.5%
Sad	49.6%
Disgusted	49.9%
Confused	49.5%
Happy	49.5%
Calm	49.6%

AWS Rekognition

Age	23-38
Gender	Male, 50.4%
Sad	50.1%
Confused	49.6%
Angry	49.6%
Calm	49.6%
Surprised	49.6%
Happy	49.5%
Disgusted	49.5%

AWS Rekognition

Age	26-43
Gender	Male, 50.5%
Sad	49.8%
Calm	49.8%
Angry	49.7%
Disgusted	49.6%
Surprised	49.5%
Confused	49.5%
Happy	49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age	11-18
Gender	Female, 50.4%
Angry	49.6%
Surprised	49.6%
Happy	49.7%
Disgusted	49.6%
Sad	49.7%
Confused	49.6%
Calm	49.8%

AWS Rekognition

Age	35-52
Gender	Male, 50.4%
Happy	49.5%
Angry	49.6%
Calm	49.5%
Confused	49.5%
Disgusted	49.6%
Surprised	49.6%
Sad	50.2%

AWS Rekognition

Age	26-43
Gender	Female, 50.4%
Sad	50.2%
Happy	49.5%
Angry	49.6%
Calm	49.6%
Surprised	49.5%
Confused	49.5%
Disgusted	49.5%

AWS Rekognition

Age	29-45
Gender	Female, 50.4%
Calm	50.1%
Angry	49.6%
Happy	49.6%
Confused	49.5%
Surprised	49.6%
Disgusted	49.6%
Sad	49.5%

AWS Rekognition

Age	26-44
Gender	Male, 50.3%
Calm	50%
Sad	49.6%
Surprised	49.6%
Disgusted	49.5%
Angry	49.6%
Happy	49.6%
Confused	49.6%

AWS Rekognition

Age	26-43
Gender	Male, 53.4%
Angry	46.4%
Sad	47.1%
Surprised	45.9%
Confused	45.8%
Disgusted	46.4%
Calm	47.4%
Happy	46.1%

AWS Rekognition

Age	48-68
Gender	Female, 50.3%
Sad	49.7%
Disgusted	49.5%
Calm	50.2%
Confused	49.5%
Angry	49.5%
Surprised	49.5%
Happy	49.5%

AWS Rekognition

Age	26-44
Gender	Male, 50.5%
Calm	50.3%
Disgusted	49.5%
Sad	49.6%
Happy	49.5%
Confused	49.5%
Surprised	49.5%
Angry	49.5%

AWS Rekognition

Age	30-47
Gender	Female, 50.1%
Angry	49.6%
Disgusted	49.5%
Sad	49.7%
Happy	49.5%
Confused	49.5%
Surprised	49.6%
Calm	50%

AWS Rekognition

Age	26-43
Gender	Female, 50%
Calm	49.6%
Angry	49.6%
Sad	49.9%
Happy	49.6%
Confused	49.5%
Surprised	49.6%
Disgusted	49.7%

AWS Rekognition

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

AWS Rekognition

Age	17-27
Gender	Female, 50.4%
Calm	49.6%
Disgusted	49.7%
Sad	49.7%
Angry	49.6%
Happy	49.8%
Confused	49.6%
Surprised	49.6%

AWS Rekognition

Age	35-52
Gender	Male, 50.3%
Angry	49.6%
Happy	49.7%
Surprised	49.6%
Disgusted	49.6%
Sad	50%
Confused	49.5%
Calm	49.6%

AWS Rekognition

Age	23-38
Gender	Male, 50.2%
Disgusted	49.7%
Surprised	49.6%
Happy	49.8%
Calm	49.5%
Angry	49.7%
Confused	49.6%
Sad	49.7%

AWS Rekognition

Age	35-55
Gender	Male, 50.5%
Surprised	49.5%
Disgusted	49.6%
Sad	49.7%
Calm	49.9%
Happy	49.6%
Confused	49.6%
Angry	49.6%

AWS Rekognition

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

AWS Rekognition

Age	35-52
Gender	Male, 50.4%
Confused	49.5%
Disgusted	50.2%
Sad	49.5%
Surprised	49.6%
Calm	49.6%
Angry	49.6%
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.: Convention of Sales Agents	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.3

Person	99

Human	99

Person	98.8

Person	98.5

Furniture	97.9

Chair	97.9

Person	97.5

Crowd	96

Person	95.2

Person	92.8

Audience	91.2

Person	90.4

Person	89.9

Building	84.2

Person	82.8

People	81

Person	71.6

Musician	68

Musical Instrument	68

Person	67.6

Person	64.6

Music Band	59.4

people	99.9

many	99.9

group together	99.1

group	98.3

crowd	98.2

adult	96.7

man	96.3

war	91.8

administration	90.4

leader	89.9

military	89.4

woman	89.2

spectator	86

soldier	81.7

wear	80.4

chair	77.9

audience	77.3

vehicle	72.2

child	71.5

baseball	69.8

building	36

structure	29.2

landscape	21.6

greenhouse	20.6

city	18.3

sky	17.5

travel	16.9

school	16.5

architecture	15.6

park	14.1

tourism	14

history	13.4

house	13.4

garden	11.8

tree	11.6

summer	10.9

snow	10.9

trees	10.7

sunny	10.3

lake	10.1

water	10

landmark	9.9

rural	9.7

animal	9.6

flowers	9.6

stone	9.4

old	9.1

outdoors	9

people	8.9

group	8.9

scene	8.6

clouds	8.4

outdoor	8.4

bird	8.4

field	8.4

peace	8.2

environment	8.2

statue	8.1

farm	8

natural	8

life	8

river	8

country	7.9

agriculture	7.9

scenic	7.9

colorful	7.9

spring	7.8

day	7.8

pedestrian	7.6

monument	7.5

place	7.4

spectator	7.4

town	7.4

tranquil	7.2

track	7.2

plant	7.2

People	96

Crowd	88.7

Event	67

person	98.6

outdoor	96.9

posing	90.7

clothing	89.4

child	86.8

group	84.9

standing	76.6

man	69.4

old	61.6

crowd	42.1

people portraits	50%

streetview architecture	19.1%

paintings art	7.5%

pets animals	7.2%

interior objects	5.3%

nature landscape	4.4%

events parties	3%

food drinks	1.8%

a group of people standing in front of a crowd posing for the camera	96.3%

a group of people posing for a photo in front of a crowd	96.2%

a group of people in front of a crowd posing for the camera	96.1%

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.: Convention of Sales Agents

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.3

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.: Convention of Sales Agents

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.3

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

AWS Rekognition

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AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

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