Human Generated Data

Title

Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Agencies Promoting Assimilation of the Negro. Training for Commercial and Industrial Employment. Hampton Normal and Agricultural Institute, Hampton, Va.: Engine Room.

Date

1899-1900

People

Artist: Frances Benjamin Johnston, American 1864 - 1952

Classification

Photographs

Human Generated Data

Title

Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Agencies Promoting Assimilation of the Negro. Training for Commercial and Industrial Employment. Hampton Normal and Agricultural Institute, Hampton, Va.: Engine Room.

People

Artist: Frances Benjamin Johnston, American 1864 - 1952

Date

1899-1900

Classification

Photographs

Machine Generated Data

Tags

Amazon

Machine 99.5
Person 97.9
Human 97.9
Person 97.5
Building 86.7
Train 85.3
Vehicle 85.3
Transportation 85.3
Lathe 77.6
Workshop 72.5
Factory 61.4

Clarifai

people 99.1
vehicle 97.4
transportation system 95.8
adult 95.1
one 95
grinder 94
industry 92.1
group together 89.7
two 85.9
man 84.4
indoors 83.9
production 80.9
military 78.5
group 77.5
aircraft 76
room 75.5
watercraft 74.8
train 73.8
three 72.9
engine 71.1

Imagga

industry 41.8
industrial 40.8
factory 40.7
machine 40.1
power 33.6
steel 30.3
device 28.4
pipe 26.6
plant 26.1
equipment 26
engineering 25.7
building 25
metal 23.3
heavy 22.9
tube 22.2
machinery 22
steam 21.3
pollution 21.1
manufacturing 20.5
mechanical 20.4
piping 19.7
production 19.4
energy 19.3
fuel 19.3
valve 19.1
transportation 18.8
technology 18.5
pump 17.6
engine 17.3
modern 16.8
urban 16.6
gas 16.4
oil 15.8
boiler 15.6
waste 15.5
station 15.1
typesetting machine 15
heat 14.8
pipes 14.8
system 14.3
inside 13.8
pipeline 13.8
mechanic 13.7
complex 13.6
turbine 13.5
architecture 13.3
mechanism 13.3
old 13.2
refinery 12.8
science 12.4
interior 12.4
vessel 12.3
environment 12.3
structure 12.2
gear 11.6
chemical 11.6
printer 11.2
hot 10.9
facility 10.9
chimney 10.8
water 10.7
stainless 10.7
supply 10.6
business 10.3
iron 10.3
control 10.2
work 10.2
accelerator 10.1
cyclotron 9.9
petrol 9.8
radiation 9.8
pressure 9.7
nuclear 9.7
electricity 9.4
environmental 9.4
locomotive 9.4
light 9.3
part 9.3
iron lung 9.1
tank 9
engineer 8.9
container 8.9
enterprise 8.8
technical 8.7
train 8.6
concrete 8.6
room 8.5
economy 8.3
global 8.2
reflection 8.1
lines 8.1
fabricate 7.9
robots 7.9
combustible 7.9
smokestack 7.9
cables 7.8
warming 7.8
travel 7.7
burn 7.7
antique 7.7
chandelier 7.6
display 7.4
vehicle 7.4
respirator 7.3
detail 7.2
history 7.1
instrument 7.1
steam locomotive 7.1

Google

Machine 73.7
Machine tool 60.8
Factory 59.2
Toolroom 58.6
Metal 51.1

Microsoft

person 87.4
old 79.3
wheel 63.2
clothing 51.8
device 49.8
engine 19.8

Face analysis

Amazon

AWS Rekognition

Age 17-27
Gender Female, 51.5%
Surprised 45.4%
Disgusted 46.4%
Angry 46.9%
Confused 45.3%
Happy 45.3%
Sad 49.4%
Calm 46.4%

AWS Rekognition

Age 20-38
Gender Female, 52.4%
Surprised 45.9%
Happy 47%
Disgusted 46.4%
Sad 46.4%
Angry 46.1%
Calm 47.6%
Confused 45.7%

Feature analysis

Amazon

Person 97.9%
Train 85.3%

Captions

Microsoft

a car engine 50.6%
an old photo of a train 47.6%
old photo of a train 43%

Text analysis

Amazon

53

Google

53
53