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: Conveniences for Women Employees: Recess in a Women's Department.
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.A.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: Conveniences for Women Employees: Recess in a Women's Department.

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.A.2

Machine Generated Data

Tags

Amazon
created on 2022-06-25

Person 99.5
Human 99.5
Person 99.4
Person 98.2
School 98.2
Person 98.1
Person 98
Classroom 97.2
Room 97.2
Indoors 97.2
Person 96.8
Person 96.6
Person 95.8
Person 94.6
Building 93.5
Person 92.1
Factory 90.2
Person 76.7
Person 61.9
Person 60.7
Workshop 59.4
Assembly Line 56.9
Person 42.7

Imagga
created on 2022-06-25

classroom 48.2
room 40.4
man 37.6
people 31.8
male 30.6
adult 23.2
sitting 22.3
person 22.1
40s 21.4
smiling 20.3
restaurant 19.7
table 19
business 18.8
men 18
businessman 17.7
couple 17.4
student 16.9
education 16.4
lifestyle 15.9
color 15.6
home 15.2
meeting 15.1
happy 15
indoors 14.9
team 14.3
smile 14.2
working 14.1
day 14.1
together 14
businesswoman 13.6
hospital 13.5
talking 13.3
desk 13.2
shop 13.2
mature 13
casual clothing 12.7
teacher 12.7
women 12.6
work 12.6
30s 12.5
businesspeople 12.3
cheerful 12.2
professional 12.1
cafeteria 11.9
colleagues 11.7
office 11.6
family 11.6
school 11.5
college 11.4
adults 11.4
senior 11.2
counter 11.2
child 11
occupation 11
20s 11
indoor 11
children 10.9
books 10.6
group 10.5
camera 10.2
stall 10.2
building 10.1
holding 9.9
four people 9.9
discussing 9.8
forties 9.8
discussion 9.7
daytime 9.6
class 9.6
mercantile establishment 9.6
four 9.6
clinic 9.6
boy 9.6
learning 9.4
clothing 9.4
nurse 9.3
food 9.2
confident 9.1
portrait 9.1
old 9.1
days 8.8
two people 8.7
service 8.3
patient 8.1
interior 8
academic 7.8
50s 7.8
standing 7.8
educational 7.8
meal 7.7
studying 7.7
friends 7.5
clothes 7.5
teamwork 7.4
coffee 7.4
inside 7.4
dinner 7.2
looking 7.2
structure 7.1
to 7.1
happiness 7
library 7
butcher shop 7

Google
created on 2022-06-25

Table 90.4
Desk 80.3
People 78.1
Monochrome 77.9
Event 74.6
Factory 74.3
Crowd 73.2
Room 70.9
Vintage clothing 70.1
Chair 66.2
Monochrome photography 66
Class 66
Job 64
Machine 62.7
Service 61.6
Team 61.4
Child 60.7
History 60.6
Education 56.5
Academic institution 55.3

Microsoft
created on 2022-06-25

person 99.1
indoor 98.2
clothing 97.5
text 87.9
group 86.6
school 78.7
black 77
human face 71
library 67.1
old 64.6
people 62.7
man 62.4
restaurant 21.6

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 9-17
Gender Female, 98.7%
Sad 100%
Surprised 6.3%
Fear 6%
Calm 0.6%
Confused 0.1%
Angry 0.1%
Disgusted 0.1%
Happy 0%

AWS Rekognition

Age 24-34
Gender Female, 100%
Calm 92.6%
Surprised 6.5%
Fear 6%
Sad 3.9%
Confused 1.2%
Angry 0.4%
Disgusted 0.3%
Happy 0.3%

AWS Rekognition

Age 18-26
Gender Female, 100%
Calm 99.9%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Angry 0.1%
Confused 0%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 54-64
Gender Female, 99.8%
Calm 94.3%
Surprised 6.5%
Fear 5.9%
Sad 2.7%
Angry 1.6%
Confused 1%
Disgusted 0.3%
Happy 0.3%

AWS Rekognition

Age 21-29
Gender Female, 96.8%
Calm 86.3%
Surprised 15.1%
Fear 5.9%
Sad 2.4%
Confused 0.7%
Angry 0.3%
Disgusted 0.2%
Happy 0.1%

AWS Rekognition

Age 6-14
Gender Male, 99.5%
Calm 85.8%
Sad 6.9%
Surprised 6.6%
Fear 6%
Angry 3.1%
Disgusted 0.7%
Confused 0.7%
Happy 0.2%

AWS Rekognition

Age 14-22
Gender Female, 100%
Calm 91.4%
Surprised 6.9%
Fear 6%
Sad 3.2%
Disgusted 1.6%
Angry 1.2%
Confused 1%
Happy 0.2%

AWS Rekognition

Age 25-35
Gender Female, 93.4%
Sad 99.9%
Surprised 7.9%
Confused 7.7%
Calm 6.7%
Fear 6%
Disgusted 2%
Angry 1.1%
Happy 0.2%

AWS Rekognition

Age 43-51
Gender Female, 100%
Calm 79.3%
Happy 11.9%
Surprised 7.9%
Fear 6.1%
Sad 3.2%
Angry 1.2%
Disgusted 0.9%
Confused 0.4%

AWS Rekognition

Age 2-8
Gender Female, 66%
Calm 44.8%
Happy 32.5%
Sad 12.5%
Surprised 6.7%
Fear 6.4%
Disgusted 2.9%
Confused 2.8%
Angry 1.7%

AWS Rekognition

Age 21-29
Gender Male, 99%
Sad 99.9%
Calm 17.7%
Surprised 6.9%
Fear 6%
Confused 1.7%
Angry 1.1%
Disgusted 1%
Happy 0.5%

AWS Rekognition

Age 14-22
Gender Female, 65.2%
Sad 99.7%
Calm 15.1%
Surprised 12.3%
Fear 6.9%
Confused 2.2%
Disgusted 1.5%
Angry 1.3%
Happy 0.5%

AWS Rekognition

Age 20-28
Gender Female, 78.5%
Calm 83.2%
Sad 8.6%
Surprised 6.4%
Fear 6.4%
Angry 2.1%
Disgusted 1.4%
Happy 1.1%
Confused 0.4%

AWS Rekognition

Age 20-28
Gender Female, 78.4%
Sad 100%
Surprised 6.3%
Fear 6.1%
Confused 2.2%
Calm 0.8%
Happy 0.3%
Angry 0.2%
Disgusted 0.2%

AWS Rekognition

Age 16-24
Gender Female, 96.5%
Calm 86.8%
Surprised 6.4%
Fear 6%
Sad 3.9%
Angry 3.4%
Disgusted 3.2%
Confused 1.5%
Happy 0.4%

AWS Rekognition

Age 10-18
Gender Female, 63.1%
Sad 99.9%
Calm 8.7%
Surprised 7.7%
Fear 7.3%
Angry 3.2%
Confused 2.7%
Disgusted 1.2%
Happy 0.8%

AWS Rekognition

Age 24-34
Gender Male, 92.9%
Sad 78.6%
Angry 52.9%
Calm 9%
Surprised 6.5%
Fear 6%
Confused 0.8%
Disgusted 0.5%
Happy 0.2%

AWS Rekognition

Age 36-44
Gender Male, 99%
Sad 99.9%
Calm 15.3%
Surprised 7%
Fear 6.5%
Angry 2.2%
Disgusted 1.4%
Happy 0.8%
Confused 0.5%

AWS Rekognition

Age 13-21
Gender Male, 66.4%
Calm 52.1%
Sad 18.4%
Angry 9.8%
Fear 8.7%
Surprised 8%
Happy 6.9%
Disgusted 3.6%
Confused 1.9%

AWS Rekognition

Age 6-12
Gender Female, 99.1%
Calm 87%
Sad 7.7%
Surprised 6.4%
Fear 6.3%
Confused 0.8%
Angry 0.6%
Disgusted 0.5%
Happy 0.5%

AWS Rekognition

Age 20-28
Gender Female, 64.7%
Calm 94.9%
Surprised 6.4%
Fear 6%
Sad 3.1%
Angry 0.7%
Happy 0.6%
Disgusted 0.3%
Confused 0.2%

AWS Rekognition

Age 40-48
Gender Female, 69%
Sad 100%
Surprised 6.3%
Fear 6.1%
Calm 2.3%
Angry 1.9%
Disgusted 0.4%
Confused 0.2%
Happy 0.1%

AWS Rekognition

Age 18-24
Gender Female, 61.1%
Sad 100%
Calm 15.4%
Surprised 6.4%
Fear 6%
Confused 1.6%
Disgusted 0.7%
Angry 0.2%
Happy 0.1%

AWS Rekognition

Age 21-29
Gender Male, 74.4%
Calm 75.9%
Sad 17%
Fear 6.5%
Surprised 6.4%
Angry 2.9%
Confused 1.9%
Happy 1.3%
Disgusted 0.4%

AWS Rekognition

Age 21-29
Gender Female, 98.4%
Sad 66.8%
Calm 46.9%
Surprised 9.8%
Fear 9.6%
Angry 3.5%
Disgusted 1.7%
Confused 1.4%
Happy 1.2%

AWS Rekognition

Age 11-19
Gender Male, 91.9%
Calm 92.4%
Surprised 6.5%
Fear 6.2%
Sad 3.3%
Confused 1%
Happy 0.9%
Disgusted 0.8%
Angry 0.7%

AWS Rekognition

Age 25-35
Gender Male, 79.5%
Fear 95.3%
Surprised 7.9%
Sad 4%
Calm 2.5%
Happy 1.4%
Disgusted 0.9%
Confused 0.8%
Angry 0.8%

AWS Rekognition

Age 18-24
Gender Female, 50.5%
Calm 92.6%
Surprised 6.6%
Fear 6%
Sad 3.7%
Happy 0.8%
Angry 0.8%
Confused 0.5%
Disgusted 0.3%

AWS Rekognition

Age 18-26
Gender Female, 67.5%
Calm 82.4%
Surprised 6.9%
Sad 6.8%
Fear 6.1%
Angry 4.6%
Happy 1.3%
Confused 0.9%
Disgusted 0.7%

AWS Rekognition

Age 13-21
Gender Male, 88.7%
Sad 99.2%
Calm 15.7%
Angry 15.5%
Fear 6.6%
Surprised 6.6%
Happy 3.2%
Confused 1.8%
Disgusted 0.9%

AWS Rekognition

Age 18-26
Gender Male, 98.9%
Calm 87.4%
Fear 6.9%
Surprised 6.8%
Sad 3.3%
Happy 2.9%
Disgusted 1.5%
Angry 1.3%
Confused 0.3%

AWS Rekognition

Age 16-24
Gender Male, 83.9%
Calm 86.3%
Surprised 6.8%
Fear 6.2%
Sad 5.4%
Confused 2.5%
Angry 1.3%
Happy 0.7%
Disgusted 0.5%

AWS Rekognition

Age 12-20
Gender Female, 72.4%
Sad 67.5%
Disgusted 66.3%
Surprised 6.4%
Fear 6%
Confused 0.4%
Angry 0.4%
Happy 0.3%
Calm 0.2%

AWS Rekognition

Age 13-21
Gender Female, 97.7%
Fear 96%
Sad 7.3%
Surprised 6.5%
Happy 1.4%
Calm 0.2%
Disgusted 0.1%
Confused 0.1%
Angry 0.1%

AWS Rekognition

Age 7-17
Gender Male, 92.3%
Calm 70.3%
Disgusted 8.4%
Sad 7.9%
Fear 7%
Surprised 6.6%
Happy 3.1%
Angry 2.8%
Confused 2.6%

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 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 Possible
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 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 Unlikely

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%

Categories

Imagga

people portraits 93.3%
events parties 5.3%