Human Generated Data

Title

Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Training in Scientific Agriculture: Hampton Machinists Building a Lathe. Hampton teaches auto-mechanics as well as the usual machine work
Date

c. 1903
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, 3.2002.3537.2

Human Generated Data

Title

Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Training in Scientific Agriculture: Hampton Machinists Building a Lathe. Hampton teaches auto-mechanics as well as the usual machine work

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.3537.2

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Person 99.9
Human 99.9
Person 98.8
Machine 98.4
Wheel 92.1
Person 91.5
Factory 83
Building 83
Lathe 78.9
Vehicle 69.9
Transportation 69.9
Train 69.9
Motor 60.2

Clarifai
created on 2019-06-05

people 100
vehicle 99.3
grinder 98.4
group together 97.5
transportation system 97.3
adult 96.9
industry 96.7
group 96.3
raw material 95.9
one 94
two 94
engine 90.9
train 90.7
machine 89.2
watercraft 88.3
man 88.1
production 83.5
railway 82.6
employee 82.3
military 82

Imagga
created on 2019-06-05

factory 94.2
machine 70.7
plant 53.9
industry 44.4
industrial 40.8
building complex 40.4
equipment 38.2
tractor 37.6
vehicle 34.1
machinery 33.2
heavy 31.5
construction 29.1
work 29
transportation 28.7
transport 26.5
device 24.6
power 24.3
structure 23.9
loom 23
wheel 20.7
iron 20.5
dirt 20
bulldozer 19.8
truck 19.8
steel 19.7
engine 19.2
textile machine 18.4
earth 18.3
metal 17.7
old 17.4
farm 16.9
site 16.9
sky 15.3
yellow 15.2
rural 15
track 13.5
shovel 12.8
farm machine 12.8
tire 12.7
grass 12.6
field 12.5
working 12.4
ground 12.3
agriculture 12.3
sand 12.2
outdoors 11.9
hydraulic 11.8
digging 11.8
scoop 11.8
dirty 11.7
bucket 11.7
building 11.1
excavator 10.9
pipe 10.8
production 10.7
environment 10.7
steam 10.7
fuel 10.6
landscape 10.4
technology 10.4
land 10.1
energy 10.1
harvester 9.9
loader 9.9
manufacturing 9.8
thresher 9.8
soil 9.7
engineering 9.5
business 9.1
hay 9.1
road 9
diesel 9
tank 8.9
mover 8.9
loading 8.9
pollution 8.7
outside 8.6
farming 8.5
build 8.5
outdoor 8.4
locomotive 8.3
farmer 8
extraction 7.9
dig 7.9
railroad 7.9
trailer 7.8
agricultural 7.8
driving 7.7
straw 7.7
train 7.7
job 7.1

Google
created on 2019-06-05

Machine 93.4
Machine tool 92.8
Toolroom 90.2
Gear shaper 86
Lathe 79.8
Metal lathe 78.2
Tool 67.8
Cylindrical grinder 64.7
Shaper 58.8

Microsoft
created on 2019-06-05

outdoor 88.8
old 69.5
device 69.5
lathe 68.2
factory 67.3
gun 60.7
weapon 49.8
cart 34.7
miller 12.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 50.8%
Disgusted 52.1%
Surprised 45.3%
Happy 45.4%
Calm 46.5%
Angry 45.3%
Confused 45.2%
Sad 45.2%

AWS Rekognition

Age 26-43
Gender Male, 53.1%
Surprised 45.3%
Happy 45.1%
Sad 52.7%
Angry 45.3%
Disgusted 45.2%
Calm 46.1%
Confused 45.3%

AWS Rekognition

Age 27-44
Gender Female, 52.7%
Sad 47.3%
Surprised 45.6%
Happy 45.2%
Angry 45.6%
Confused 45.6%
Disgusted 45.2%
Calm 50.5%

Feature analysis

Amazon

Person 99.9%
Wheel 92.1%
Train 69.9%

Categories

Imagga

streetview architecture 44.3%
interior objects 35.4%
cars vehicles 12.4%
paintings art 5.3%