Human Generated Data

Title

Miscellaneous [children in a factory]?
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, 3.2002.3349.1

Human Generated Data

Title

Miscellaneous [children in a factory]?

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, 3.2002.3349.1

Machine Generated Data

Tags

Amazon
created on 2019-06-05

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

Clarifai
created on 2019-06-05

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
created on 2019-06-05

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

Google
created on 2023-10-30

Building 88.4
Track 85.7
Rolling stock 85.6
Electricity 85.1
Mode of transport 84.6
Motor vehicle 84.5
Railway 83.9
Line 81.8
Thoroughfare 81.1
Vehicle 81
Rolling 78.9
Train 77.3
Monochrome 74.2
Public transport 72.9
Metal 72.5
Metropolis 72.1
Monochrome photography 70.9
City 67
Steel 65.8
Bridge 64.3

Microsoft
created on 2019-06-05

outdoor 86.3
white 61.8
train 59

Color Analysis

Face analysis

Amazon

Google

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%

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 99.3%

Categories

Imagga

streetview architecture 91.1%
paintings art 8.4%

Captions

Microsoft
created on 2019-06-05

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