Human Generated Data

Title

Miscellaneous: Training for general manufactures ?: (?) out ?

Date

c. 1903

People

Artist: Unidentified Artist,

Classification

Photographs

Human Generated Data

Title

Miscellaneous: Training for general manufactures ?: (?) out ?

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Machine Generated Data

Tags

Amazon

Person 99.5
Human 99.5
Person 99.3
Person 98
Person 97.8
Building 95.5
Chair 91.2
Furniture 91.2
Factory 89.8
Person 83.4
Person 82.7
Assembly Line 57.6

Clarifai

people 100
group 99.7
many 98.2
adult 98.1
administration 98
group together 96.5
several 95
leader 94.9
child 92.5
man 91.3
print 90.6
furniture 90.4
five 88.3
war 87.7
chair 87.5
education 86.5
military 86.1
medical practitioner 85.5
one 84.9
sit 84.6

Imagga

room 34.5
shop 33.5
barbershop 31
classroom 24.1
mercantile establishment 23.9
man 23.6
male 22.7
newspaper 20.3
people 19.5
men 18.9
person 17.9
business 17.6
product 16.6
chair 16.5
place of business 15.9
businessman 15
table 14.8
interior 14.1
violin 12.5
creation 12.2
home 12
worker 11.6
adult 11.5
office 11.4
black 11.4
bowed stringed instrument 10.7
building 10.5
musical instrument 10.5
old 10.4
meeting 10.4
sitting 10.3
wall 10.3
work 10.2
finance 10.1
window 10.1
family 9.8
job 9.7
indoors 9.7
house 9.2
modern 9.1
stringed instrument 9
working 8.8
happy 8.8
architecture 8.6
corporate 8.6
glass 8.6
hand 8.4
seat 8.4
floor 8.4
vintage 8.3
new 8.1
team 8.1
group 8.1
success 8
establishment 8
smiling 8
lifestyle 7.9
women 7.9
desk 7.7
furniture 7.5
indoor 7.3
businesswoman 7.3
decoration 7.2
portrait 7.1
happiness 7
growth 7
professional 7

Google

History 62.6

Microsoft

person 98.5
clothing 96.3
newspaper 84.6
drawing 69.7
man 65.8
old 41.7

Face analysis

Amazon

AWS Rekognition

Age 19-36
Gender Male, 54.7%
Surprised 45.4%
Happy 45.7%
Confused 45.6%
Sad 46.4%
Calm 49.1%
Disgusted 46.8%
Angry 46%

AWS Rekognition

Age 26-43
Gender Male, 53.5%
Disgusted 45.1%
Confused 45.2%
Angry 46.2%
Sad 47.5%
Surprised 45.3%
Happy 45.5%
Calm 50.2%

AWS Rekognition

Age 30-47
Gender Male, 53.3%
Sad 48.9%
Disgusted 46.4%
Surprised 45.5%
Angry 46.1%
Happy 45.9%
Calm 46.7%
Confused 45.5%

AWS Rekognition

Age 26-43
Gender Female, 53%
Confused 45.2%
Happy 45.1%
Angry 46.3%
Sad 51.9%
Calm 46%
Disgusted 45.2%
Surprised 45.2%

AWS Rekognition

Age 19-36
Gender Male, 52.1%
Sad 46%
Happy 46.2%
Disgusted 48.6%
Calm 46.8%
Angry 46.2%
Confused 45.3%
Surprised 45.8%

AWS Rekognition

Age 26-44
Gender Female, 50.6%
Disgusted 45.1%
Confused 45.2%
Angry 45.3%
Happy 45.7%
Calm 45.2%
Surprised 45.3%
Sad 53.1%

Feature analysis

Amazon

Person 99.5%
Chair 91.2%

Captions

Microsoft

a group of people sitting on a newspaper 39.8%

Text analysis

Amazon

ATAAARAG
ATAAARAG Be90096
Be90096
8S