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: Calisthenics
Date

c. 1904
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, 3.2002.326.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. Advantages for Employes: Calisthenics

People

Artist: Unidentified Artist,

Date

c. 1904

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2022-06-25

Assembly Line 100
Factory 100
Building 100
Person 98.2
Human 98.2
Person 98
Person 96
Person 95.9
Person 95.5
Person 89.9
Person 87.8
Suit 87.5
Coat 87.5
Overcoat 87.5
Clothing 87.5
Apparel 87.5
Person 86.5
Person 66.1
Manufacturing 63.6
Crowd 56.4

Imagga
created on 2022-06-25

man 24.8
work 22.1
restaurant 21.8
business 20
people 19.5
male 19.1
interior 18.5
chair 17.6
room 17.4
hall 17
industry 16.2
building 15.2
person 14.8
table 14.7
industrial 13.6
modern 13.3
equipment 13.2
office 13.1
men 12.9
factory 12.5
adult 12.2
engineer 12.1
architecture 11.7
city 11.6
job 11.5
indoors 11.4
glass 11
dinner 10.9
working 10.6
urban 10.5
metal 10.4
cafeteria 10.3
smiling 10.1
clothing 10
happy 10
drink 10
machine 9.7
group 9.7
worker 9.6
uniform 9.5
file 9.4
furniture 9.3
center 9.3
power 9.2
inside 9.2
computer 9.1
black 9
manufacturing 8.8
laptop 8.7
party 8.6
sitting 8.6
dining 8.5
wine 8.5
place 8.4
device 8
food 7.9
counter 7.8
couple 7.8
office furniture 7.7
old 7.7
hotel 7.6
storage 7.6
eat 7.5
stock 7.5
military uniform 7.5
technology 7.4
occupation 7.3
meal 7.3
new 7.3
smile 7.1
night 7.1
steel 7.1
lunch 7.1

Google
created on 2022-06-25

Black 89.7
Standing 86.4
Style 84
Black-and-white 82.6
Crew 79.1
Monochrome 76.6
Team 76.2
Event 73.9
Monochrome photography 73.7
Factory 72.9
Room 66.5
Metal 65.1
Machine 64.5
Crowd 63.2
Chair 61.5
Recreation 60.3
Music 58.9
Uniform 56
Vintage clothing 54.2
Classic 53.3

Microsoft
created on 2022-06-25

person 99.9
building 99.6
clothing 97.4
man 92.1
standing 84.4
black 76.5
posing 72.6
people 69.3
text 67.7
white 63.7
group 58.3
crowd 0.9

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 39-47
Gender Male, 98.7%
Calm 99.9%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Angry 0%
Disgusted 0%
Confused 0%
Happy 0%

AWS Rekognition

Age 25-35
Gender Male, 100%
Calm 96.8%
Surprised 6.3%
Fear 5.9%
Confused 2.8%
Sad 2.2%
Happy 0%
Angry 0%
Disgusted 0%

AWS Rekognition

Age 30-40
Gender Male, 89.1%
Calm 99.3%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Angry 0.1%
Confused 0.1%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 23-31
Gender Female, 99.9%
Calm 99.9%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Confused 0.1%
Angry 0%
Happy 0%
Disgusted 0%

AWS Rekognition

Age 28-38
Gender Male, 97%
Calm 63%
Surprised 23.8%
Disgusted 11%
Fear 6.6%
Angry 3.5%
Sad 2.4%
Confused 1.3%
Happy 0.4%

AWS Rekognition

Age 22-30
Gender Male, 93.2%
Sad 99.1%
Calm 31.8%
Surprised 7%
Fear 6.3%
Happy 2.4%
Angry 1.8%
Confused 1%
Disgusted 0.7%

AWS Rekognition

Age 22-30
Gender Female, 95.6%
Calm 84.6%
Fear 8.8%
Surprised 8.2%
Sad 3.5%
Disgusted 0.7%
Angry 0.5%
Happy 0.3%
Confused 0.3%

AWS Rekognition

Age 47-53
Gender Male, 99.9%
Calm 97.8%
Surprised 6.4%
Fear 5.9%
Sad 2.5%
Happy 0.3%
Confused 0.3%
Angry 0.2%
Disgusted 0.1%

AWS Rekognition

Age 19-27
Gender Male, 98.8%
Calm 97.2%
Fear 6.5%
Surprised 6.3%
Sad 2.2%
Confused 0.4%
Happy 0.3%
Disgusted 0.1%
Angry 0.1%

AWS Rekognition

Age 35-43
Gender Female, 98.4%
Fear 95.7%
Calm 7.5%
Surprised 7%
Sad 2.7%
Confused 0.8%
Disgusted 0.4%
Angry 0.3%
Happy 0.3%

AWS Rekognition

Age 20-28
Gender Female, 56.5%
Calm 32.4%
Confused 29%
Fear 21.4%
Surprised 8%
Sad 6.1%
Disgusted 2.7%
Happy 2%
Angry 1.3%

AWS Rekognition

Age 39-47
Gender Male, 99.9%
Calm 97.7%
Surprised 6.8%
Fear 6%
Sad 2.2%
Confused 0.4%
Happy 0.4%
Angry 0.1%
Disgusted 0.1%

AWS Rekognition

Age 39-47
Gender Male, 95.6%
Calm 69.9%
Sad 37.2%
Surprised 6.8%
Fear 6.5%
Confused 2.7%
Angry 0.9%
Happy 0.6%
Disgusted 0.3%

AWS Rekognition

Age 14-22
Gender Female, 90.5%
Sad 94.2%
Fear 27.7%
Confused 14.3%
Surprised 12.4%
Calm 2%
Disgusted 0.8%
Angry 0.5%
Happy 0.4%

AWS Rekognition

Age 22-30
Gender Male, 98.5%
Calm 81.9%
Surprised 7.3%
Confused 6.2%
Fear 6%
Angry 3.5%
Sad 3%
Disgusted 2.1%
Happy 1.6%

AWS Rekognition

Age 22-30
Gender Female, 67.4%
Calm 49%
Happy 26.1%
Sad 12.6%
Surprised 7.6%
Fear 6.5%
Confused 4.3%
Angry 1.9%
Disgusted 1.4%

AWS Rekognition

Age 23-31
Gender Female, 99%
Sad 99.9%
Confused 8%
Fear 7.1%
Surprised 6.7%
Calm 5.1%
Angry 3.4%
Disgusted 2.4%
Happy 0.9%

AWS Rekognition

Age 6-16
Gender Male, 97.4%
Sad 98.6%
Confused 14.9%
Fear 12.2%
Surprised 9.8%
Calm 5.9%
Disgusted 2%
Happy 1.9%
Angry 1.1%

AWS Rekognition

Age 30-40
Gender Male, 99.3%
Sad 80.8%
Calm 44.6%
Confused 14.2%
Surprised 6.5%
Fear 6.3%
Happy 1.4%
Disgusted 1.1%
Angry 0.4%

AWS Rekognition

Age 20-28
Gender Male, 86.2%
Calm 94.7%
Surprised 6.5%
Fear 6%
Sad 2.5%
Happy 2.1%
Disgusted 0.5%
Confused 0.5%
Angry 0.4%

AWS Rekognition

Age 22-30
Gender Male, 98.9%
Calm 60.2%
Fear 26.4%
Surprised 6.7%
Sad 6.6%
Confused 2.7%
Angry 1.5%
Disgusted 0.5%
Happy 0.3%

AWS Rekognition

Age 13-21
Gender Male, 99.4%
Fear 82.2%
Surprised 9.5%
Confused 8.6%
Calm 8%
Sad 6.3%
Angry 3.1%
Disgusted 1.5%
Happy 1.5%

AWS Rekognition

Age 23-31
Gender Male, 89.6%
Calm 86.4%
Happy 10%
Surprised 6.5%
Fear 6.3%
Sad 2.2%
Angry 1%
Disgusted 0.5%
Confused 0.3%

AWS Rekognition

Age 20-28
Gender Male, 96.1%
Calm 75.9%
Sad 18.7%
Surprised 6.7%
Fear 6.3%
Confused 4.3%
Happy 0.7%
Angry 0.4%
Disgusted 0.4%

AWS Rekognition

Age 16-22
Gender Male, 96.7%
Calm 88.1%
Surprised 7.1%
Fear 6.4%
Happy 4.9%
Sad 2.9%
Confused 1.1%
Disgusted 0.6%
Angry 0.3%

Microsoft Cognitive Services

Age 32
Gender Female

Microsoft Cognitive Services

Age 39
Gender Male

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 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 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 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 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 Possible

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 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 likely

Google Vision

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

Feature analysis

Amazon

Person 98.2%
Suit 87.5%

Captions

Microsoft

a group of people standing in front of a crowd posing for the camera 92.5%
a group of people posing for a photo 92.4%
a group of people standing in front of a building 92.3%

Text analysis

Amazon

GOING
INCOMING
-

Google

MARES GOING dibus INCOMING
MARES
GOING
dibus
INCOMING