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.: Departments: Showing White Aprons

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, 3.2002.328.B.2

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.: Departments: Showing White Aprons

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, 3.2002.328.B.2

Machine Generated Data

Tags

Amazon
created on 2022-06-25

Assembly Line 99.8
Factory 99.8
Building 99.8
Person 99.5
Human 99.5
Person 99.1
Person 99
Person 99
Person 99
Person 98.4
Person 97.5
Person 97.1
Person 96.8
Person 95.6
Person 94.7
Person 94.7
Person 86.4
Person 70.6
Person 66.4
Wedding Gown 62.7
Fashion 62.7
Gown 62.7
Apparel 62.7
Clothing 62.7
Wedding 62.7
Robe 62.7
Person 56.9

Imagga
created on 2022-06-25

hall 34.1
room 31.5
man 30.9
table 30.3
people 28.4
restaurant 28.1
male 27.6
classroom 24
person 22.2
office 22
business 20.6
group 19.3
chair 18.5
men 18
meeting 17.9
sitting 17.2
interior 16.8
businessman 16.8
work 16.5
indoors 15.8
smiling 15.2
teamwork 14.8
building 14.6
lifestyle 14.4
happy 14.4
cafeteria 14
teacher 13.9
adult 13.4
team 13.4
together 13.1
corporate 12.9
businesswoman 12.7
coffee 12
professional 11.8
colleagues 11.6
job 11.5
dining 11.4
center 11.3
education 11.2
computer 11.2
women 11.1
smile 10.7
worker 10.6
working 10.6
executive 10.5
modern 10.5
boy 10.4
dinner 10.3
life 10.2
casual 10.2
glass 10.1
shop 9.8
teaching 9.7
40s 9.7
school 9.7
lunch 9.7
workshop 9.6
talking 9.5
businesspeople 9.5
student 9.5
desk 9.4
learning 9.4
mature 9.3
bar 9.2
eat 9.2
drink 9.2
food 9.1
structure 8.7
couple 8.7
class 8.7
day 8.6
party 8.6
industry 8.5
employee 8.5
entrepreneur 8.4
laptop 8.4
communication 8.4
study 8.4
color 8.3
occupation 8.2
indoor 8.2
children 8.2
board 8.1
design 7.9
waiter 7.7
mid adult 7.7
studying 7.7
hotel 7.6
workplace 7.6
eating 7.6
meal 7.5
holding 7.4
technology 7.4
cheerful 7.3
new 7.3
success 7.2
black 7.2
handsome 7.1
to 7.1
happiness 7

Google
created on 2022-06-25

Photograph 94.2
Black 89.7
Dress 88.3
Table 86.8
Style 84
Black-and-white 82.2
Monochrome 77.4
Crowd 76.8
Monochrome photography 75.6
Event 74.9
Snapshot 74.3
Child 72.2
Room 70.7
Suit 69.8
Class 69.1
Vintage clothing 68
History 64.7
Recreation 58.9
School 56.1
Desk 54.1

Microsoft
created on 2022-06-25

person 99.6
clothing 95.2
group 87.3
text 82.7
people 79.5
library 69.7
old 53.8
woman 53.7
table 53.3

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 25-35
Gender Female, 100%
Calm 91.9%
Surprised 6.3%
Fear 5.9%
Sad 5.4%
Confused 0.5%
Happy 0.2%
Angry 0.2%
Disgusted 0.1%

AWS Rekognition

Age 27-37
Gender Male, 86.4%
Calm 83%
Surprised 6.8%
Fear 6%
Sad 5.1%
Confused 4.9%
Angry 2%
Happy 1.4%
Disgusted 0.9%

AWS Rekognition

Age 18-26
Gender Female, 99.8%
Calm 88.2%
Surprised 7.6%
Fear 6%
Angry 4.8%
Sad 2.6%
Disgusted 2.5%
Confused 0.2%
Happy 0.2%

AWS Rekognition

Age 25-35
Gender Female, 91.8%
Calm 63.6%
Sad 38.1%
Happy 7.1%
Surprised 6.8%
Fear 6.1%
Confused 1.7%
Angry 1.5%
Disgusted 1.1%

AWS Rekognition

Age 13-21
Gender Male, 99.6%
Calm 97.8%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Confused 1.3%
Happy 0.4%
Angry 0.4%
Disgusted 0.1%

AWS Rekognition

Age 11-19
Gender Female, 99.8%
Calm 96.8%
Surprised 6.3%
Fear 5.9%
Sad 3.2%
Confused 0.2%
Angry 0.1%
Happy 0.1%
Disgusted 0%

AWS Rekognition

Age 28-38
Gender Female, 100%
Calm 74.4%
Confused 12.7%
Surprised 7.7%
Fear 6.6%
Angry 3.5%
Sad 2.7%
Happy 2.2%
Disgusted 1%

AWS Rekognition

Age 2-10
Gender Female, 98.4%
Happy 80.3%
Calm 10.1%
Fear 7.1%
Surprised 6.9%
Sad 2.9%
Angry 1.7%
Disgusted 0.7%
Confused 0.7%

AWS Rekognition

Age 18-26
Gender Male, 70.3%
Calm 42.2%
Sad 13.3%
Confused 12.1%
Disgusted 12.1%
Surprised 9.6%
Fear 8.9%
Happy 5.1%
Angry 2.7%

AWS Rekognition

Age 14-22
Gender Female, 53.3%
Calm 39.3%
Fear 22.7%
Sad 21.9%
Angry 14.1%
Surprised 7.2%
Disgusted 2.1%
Confused 1.2%
Happy 0.7%

AWS Rekognition

Age 40-48
Gender Female, 85.9%
Calm 83.7%
Sad 12.2%
Surprised 6.4%
Fear 6%
Disgusted 1%
Confused 0.9%
Happy 0.4%
Angry 0.3%

AWS Rekognition

Age 22-30
Gender Female, 92.6%
Sad 99.7%
Calm 25.6%
Surprised 6.9%
Fear 6.3%
Disgusted 1.8%
Angry 1.6%
Confused 0.8%
Happy 0.6%

AWS Rekognition

Age 37-45
Gender Female, 97.6%
Calm 54.5%
Happy 38.1%
Surprised 6.6%
Fear 6.2%
Sad 2.9%
Confused 2%
Angry 0.9%
Disgusted 0.7%

AWS Rekognition

Age 23-31
Gender Female, 99.4%
Calm 61.5%
Disgusted 18%
Angry 7.1%
Surprised 6.9%
Fear 6.3%
Sad 4.7%
Confused 3%
Happy 2.5%

AWS Rekognition

Age 21-29
Gender Female, 99.7%
Sad 72%
Calm 51.7%
Surprised 6.6%
Fear 6.3%
Happy 5%
Confused 4.9%
Disgusted 2.2%
Angry 1.2%

AWS Rekognition

Age 16-22
Gender Male, 97.2%
Sad 78.3%
Calm 56.9%
Surprised 6.4%
Fear 6%
Confused 5.6%
Angry 0.6%
Happy 0.5%
Disgusted 0.3%

AWS Rekognition

Age 16-24
Gender Female, 96.5%
Calm 64%
Sad 14.4%
Happy 7.8%
Fear 7.2%
Surprised 6.6%
Angry 5.6%
Disgusted 2.3%
Confused 2.2%

AWS Rekognition

Age 6-16
Gender Male, 66%
Calm 84.5%
Surprised 6.5%
Sad 6.3%
Fear 6.2%
Happy 3.9%
Angry 1.3%
Disgusted 0.6%
Confused 0.3%

AWS Rekognition

Age 4-10
Gender Male, 98.5%
Disgusted 36.1%
Calm 32.3%
Sad 14.8%
Confused 8.1%
Surprised 8%
Fear 6.5%
Happy 3%
Angry 1.4%

AWS Rekognition

Age 18-26
Gender Female, 88.1%
Calm 74.8%
Surprised 15.1%
Fear 6.4%
Sad 4.3%
Disgusted 2.4%
Happy 2.2%
Confused 1.3%
Angry 1.3%

AWS Rekognition

Age 27-37
Gender Female, 57.9%
Sad 89.8%
Happy 25.7%
Calm 13.6%
Angry 8.8%
Surprised 7%
Fear 7%
Disgusted 4%
Confused 1.8%

AWS Rekognition

Age 24-34
Gender Male, 91.8%
Calm 81.1%
Surprised 6.9%
Fear 6.2%
Happy 6.1%
Sad 4.4%
Angry 3.3%
Confused 1.5%
Disgusted 0.9%

AWS Rekognition

Age 9-17
Gender Female, 71.5%
Calm 97.5%
Surprised 6.3%
Fear 5.9%
Sad 2.5%
Happy 0.5%
Angry 0.3%
Confused 0.2%
Disgusted 0.2%

AWS Rekognition

Age 16-24
Gender Female, 92.8%
Calm 91.5%
Surprised 6.4%
Fear 6.1%
Sad 3.1%
Confused 1.9%
Angry 1.2%
Happy 1.2%
Disgusted 0.8%

AWS Rekognition

Age 9-17
Gender Female, 98%
Sad 88.9%
Calm 44.5%
Fear 10%
Surprised 6.7%
Happy 1.7%
Angry 1.2%
Confused 1%
Disgusted 0.8%

AWS Rekognition

Age 14-22
Gender Female, 83.6%
Calm 29%
Happy 20%
Sad 19.8%
Surprised 10.5%
Fear 9.5%
Angry 8.9%
Disgusted 8%
Confused 2.7%

AWS Rekognition

Age 21-29
Gender Female, 65%
Fear 46.8%
Angry 31.2%
Surprised 9.9%
Calm 8.9%
Disgusted 4.8%
Happy 4.7%
Sad 3.5%
Confused 1.6%

AWS Rekognition

Age 20-28
Gender Male, 73.9%
Calm 66.7%
Happy 14.9%
Surprised 7.5%
Fear 6.4%
Disgusted 4.6%
Sad 4.2%
Angry 2.9%
Confused 2.3%

AWS Rekognition

Age 10-18
Gender Male, 50.6%
Calm 92%
Surprised 6.5%
Fear 6.2%
Sad 3.8%
Happy 0.8%
Confused 0.7%
Angry 0.7%
Disgusted 0.6%

Microsoft Cognitive Services

Age 26
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 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 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 Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear 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 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 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 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 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 Very likely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy 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

Person 99.5%
Wedding Gown 62.7%

Categories

Text analysis

Google

3500 UN
3500
UN