Human Generated Data

Title

Miscellaneous [children in a factory]?

Date

c. 1903

People

Artist: Unidentified Artist,

Classification

Photographs

Human Generated Data

Title

Miscellaneous [children in a factory]?

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Machine Generated Data

Tags

Amazon

Assembly Line 99.9
Factory 99.9
Building 99.9
Human 99.3
Person 99.3
Person 99.3
Person 98.5
Person 95.9
Person 89.2
Person 68.2
Person 65.5

Clarifai

people 99.7
transportation system 96
railway 96
adult 94.4
many 93
group 91.9
train 90.7
group together 90.6
industry 90.5
vehicle 88.2
administration 85.8
one 85.2
grinder 84.3
war 82.3
wear 78.9
two 78.6
government 76.5
no person 76.1
man 74.3
military 71.9

Imagga

architecture 47.1
building 41.3
travel 29.6
landmark 27.1
device 27
step 27
support 26.1
structure 22.6
stone 21.9
city 21.6
history 20.6
tourism 19
old 18.8
column 18.1
church 17.6
religion 17
ancient 15.6
cathedral 15.3
bridge 15.3
monument 14.9
sky 14.7
facade 14.6
road 14.5
tower 14.3
way 13.6
tunnel 13.4
track 13.3
famous 13
historic 12.8
transportation 11.7
statue 11.6
passage 11.2
exterior 11.1
tourist 10.9
tie 10.8
detail 10.5
temple 9.8
barrier 9.7
urban 9.6
perspective 9.4
passageway 9.4
radiator 9.3
palace 9.2
train 9
memorial 9
railroad 8.8
columns 8.8
wall 8.8
sculpture 8.7
architectural 8.7
attraction 8.6
construction 8.6
beam 8.5
outdoor 8.4
street 8.3
steel 8.1
mechanism 7.9
art 7.9
winter 7.7
brace 7.6
religious 7.5
arch 7.5
sidewalk 7.4
light 7.4
transport 7.3
vehicle 7.1
snow 7.1

Microsoft

outdoor 86.3
white 61.8
train 59

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 53.4%
Confused 45.3%
Happy 45.5%
Calm 49.1%
Sad 48%
Angry 45.5%
Surprised 46%
Disgusted 45.5%

AWS Rekognition

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

AWS Rekognition

Age 11-18
Gender Female, 50.5%
Surprised 49.5%
Happy 50%
Confused 49.6%
Calm 49.8%
Disgusted 49.5%
Angry 49.5%
Sad 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Angry 49.6%
Happy 49.7%
Surprised 49.6%
Calm 49.7%
Confused 49.6%
Sad 49.8%
Disgusted 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.2%
Sad 49.7%
Angry 49.6%
Calm 50%
Happy 49.5%
Disgusted 49.5%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Disgusted 49.6%
Confused 49.6%
Happy 49.5%
Calm 50.1%
Surprised 49.5%
Sad 49.6%
Angry 49.6%

AWS Rekognition

Age 9-14
Gender Female, 50.5%
Disgusted 49.5%
Calm 49.7%
Angry 49.6%
Sad 49.7%
Happy 49.7%
Surprised 49.6%
Confused 49.7%

AWS Rekognition

Age 30-47
Gender Female, 50.5%
Sad 49.6%
Angry 49.5%
Calm 50.3%
Confused 49.5%
Happy 49.6%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 16-27
Gender Female, 52.5%
Angry 46.8%
Calm 47.8%
Disgusted 45.4%
Happy 49%
Surprised 45.3%
Sad 45.4%
Confused 45.3%

AWS Rekognition

Age 38-57
Gender Female, 50.3%
Calm 49.6%
Confused 49.5%
Angry 49.6%
Surprised 49.7%
Disgusted 49.6%
Sad 49.5%
Happy 50.1%

Feature analysis

Amazon

Person 99.3%

Captions

Microsoft

a vintage photo of a bridge 50.2%
a vintage photo of a building 50.1%
a vintage photo of a train 43.1%