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

Human 99.7
Person 99.7
Person 99.4
Person 99.3
Person 99.1
Machine 92.8
Wheel 92.8
Transportation 87.3
Vehicle 87.3
Aircraft 87.3
Helicopter 87.3
Spoke 82.9
Bicycle 81.1
Bike 81.1
Apparel 66.8
Clothing 66.8
Shorts 61.7
Porch 59.4
Steamer 56.4
Military 55.6

Clarifai

people 100
group together 99.8
group 99.4
watercraft 98.7
many 98.6
vehicle 98.6
adult 98.6
man 97.9
several 95.9
transportation system 94.8
four 94.7
woman 94.7
military 94.4
recreation 94.4
child 91.3
war 90
music 89.6
five 89.1
administration 87.9
wear 87.8

Imagga

sky 38.9
t-bar lift 38.2
power 34.4
electricity 34
wire 32.8
ship 31.6
surface lift 30.6
high 30.3
ski tow 30
cable 29.7
line 28
voltage 27.4
energy 26.1
tower 26
industry 25.6
electric 24.3
industrial 23.6
tall 23.5
rope 23.2
electrical 22
equipment 21.8
conveyance 21.4
vessel 21.4
supply 20.3
pirate 20.2
steel 19.4
pole 18.4
structure 18.3
mast 17.7
boat 17.7
engineering 17.1
metal 16.9
pylon 16.8
rigging 16.4
construction 16.3
sea 15.6
technology 15.6
city 15
wires 14.7
sport 14.4
network 13.9
cables 13.7
old 13.2
weapon 12.8
bow 12.8
sailing 12.7
silhouette 12.4
urban 12.2
water 12
pulley 12
danger 11.8
work 11.8
lines 11.7
nautical 11.7
station 11.6
man 11.4
post 11.3
building 11.2
yacht 10.8
crane 10.8
grid 10.6
port 10.6
ocean 10
sailboat 9.8
current 9.8
mechanical device 9.8
machine 9.7
ropes 8.9
volt 8.9
sail 8.7
harbor 8.7
chairlift 8.4
outdoor 8.4
communication 8.4
marina 8.3
environment 8.2
transport 8.2
vacation 8.2
recreation 8.1
craft 8
telegraph 7.9
masts 7.9
transformer 7.9
trombone 7.9
watt 7.9
mechanism 7.9
device 7.9
utility 7.9
pillar 7.9
day 7.8
male 7.8
cloud 7.7
travel 7.7
engineer 7.6
wood 7.5
frame 7.5
outdoors 7.5
tourism 7.4
transportation 7.2
wooden 7
builder 7

Google

Crew 75.6
Vehicle 69.7
Art 50.2

Microsoft

clothing 95.7
ship 89.6
person 89.5
man 88.4
boat 50.4

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 26-43
Gender Female, 52%
Disgusted 45.1%
Calm 45.7%
Surprised 45.3%
Angry 46.6%
Sad 52.1%
Confused 45.1%
Happy 45.2%

AWS Rekognition

Age 23-38
Gender Male, 53.5%
Confused 45.9%
Angry 46.2%
Disgusted 46.4%
Surprised 45.4%
Sad 47.1%
Happy 45.3%
Calm 48.7%

AWS Rekognition

Age 17-27
Gender Female, 52%
Surprised 45.4%
Sad 46.4%
Happy 45.3%
Disgusted 45.2%
Confused 45.4%
Calm 52.1%
Angry 45.3%

AWS Rekognition

Age 26-43
Gender Male, 54.2%
Happy 45.1%
Surprised 45%
Angry 45.1%
Sad 45.1%
Confused 45%
Calm 54.7%
Disgusted 45%

Microsoft Cognitive Services

Age 24
Gender Female

Feature analysis

Amazon

Person 99.7%
Wheel 92.8%
Helicopter 87.3%
Bicycle 81.1%

Captions

Microsoft

a group of people sitting on a bench 72.8%
a group of people sitting at a table 72.7%
a group of people standing around a bench 72.6%

Text analysis

Amazon

6a

Google

Ga
Ga