Human Generated Data

Title

Untitled (street scene with workmen, Africa)
Date

1910s
People

Artist: Unidentified Artist,

Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, 2.2002.3181

Human Generated Data

Title

Untitled (street scene with workmen, Africa)

People

Artist: Unidentified Artist,

Date

1910s

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, 2.2002.3181

Machine Generated Data

Tags

Amazon
created on 2022-01-08

Wheel 99.9
Machine 99.9
Wheel 99.7
Antique Car 99.6
Car 99.6
Vehicle 99.6
Transportation 99.6
Automobile 99.6
Wheel 99.4
Model T 99
Human 98.7
Person 98.7
Person 97.5
Person 95.7
Person 93
Person 92.9
Person 91.7
Person 91.4
Person 89.4
Person 89.2
Tire 84.1
Person 84.1
Person 81.4
Person 79.1
Person 73.3
Person 67.7
Person 64.9
Building 57.7
Person 54.6

Clarifai
created on 2023-10-25

people 99.9
vehicle 99.7
transportation system 99.6
wagon 98.6
street 98.5
cart 97.8
adult 97
car 94.9
vintage 94.7
monochrome 94.7
group together 94.7
carriage 93.3
driver 93.3
man 92.1
group 90.1
truck 89.7
many 88.9
retro 86.9
one 86.7
train 85.1

Imagga
created on 2022-01-08

horse cart 64.5
cart 60.5
vehicle 57.3
wheeled vehicle 51
wagon 46.8
truck 38.2
transportation 33.2
machine 30.1
old 27.9
transport 26.5
car 25.3
motor vehicle 25.1
wheel 20.9
garbage truck 20.6
tire 18
tricycle 17.2
machinery 16.6
road 16.3
model t 15.5
work 15
wheels 14.7
industrial 14.5
industry 14.5
grass 14.2
rural 14.1
equipment 14
tractor 13.8
construction 13.7
farm 13.4
thresher 13.1
building 12
house 11.7
city 11.6
antique 11.5
auto 11.5
heavy 11.4
outdoor 10.7
travel 10.6
automobile 10.5
farm machine 10.5
street 10.1
abandoned 9.8
driving 9.7
metal 9.7
engine 9.6
dirt 9.5
architecture 9.4
seller 9.1
danger 9.1
dirty 9
outdoors 9
yellow 8.6
rusty 8.6
drive 8.5
hay 8.4
iron 8.4
sky 8.3
vintage 8.3
environment 8.2
landscape 8.2
carriage 8.1
agriculture 7.9
rock 7.8
cargo 7.8
military 7.7
field 7.5
site 7.5
lorry 7.5
village 7.5
history 7.2
working 7.1

Google
created on 2022-01-08

Wheel 97.8
Tire 97.3
Vehicle 94.8
Motor vehicle 91.9
Building 88.7
Mode of transport 85.1
Automotive tire 85
Car 78.2
Classic 70.3
Automotive wheel system 70.1
Fender 70
Automotive exterior 67.5
Classic car 66
Auto part 65.7
House 64.5
Sky 63.3
History 62.9
Tread 60
Antique car 57.3
Monochrome 56.2

Microsoft
created on 2022-01-08

outdoor 99.4
land vehicle 99
wheel 98.2
vehicle 97.6
old 94.2
tire 83.9
car 74.8
text 70.1
auto part 69.9
transport 68.1
people 65.4
truck 60.2
cart 56.9

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 33-41
Gender Male, 96.8%
Sad 45.6%
Calm 26%
Confused 7.4%
Happy 6.6%
Angry 4.8%
Disgusted 4.3%
Fear 4.2%
Surprised 1.1%

AWS Rekognition

Age 51-59
Gender Male, 100%
Calm 66.7%
Sad 23.2%
Happy 3.2%
Surprised 2.2%
Confused 1.4%
Disgusted 1.3%
Angry 1.3%
Fear 0.7%

AWS Rekognition

Age 24-34
Gender Male, 99.8%
Sad 97.6%
Calm 1.5%
Confused 0.5%
Angry 0.1%
Happy 0.1%
Fear 0.1%
Surprised 0.1%
Disgusted 0%

AWS Rekognition

Age 22-30
Gender Male, 99.7%
Sad 43.7%
Calm 41.7%
Fear 4.1%
Angry 3.8%
Happy 2%
Disgusted 1.9%
Surprised 1.9%
Confused 1%

AWS Rekognition

Age 39-47
Gender Male, 100%
Sad 91.3%
Calm 6.4%
Angry 1.3%
Confused 0.3%
Disgusted 0.2%
Surprised 0.2%
Fear 0.2%
Happy 0.1%

AWS Rekognition

Age 12-20
Gender Male, 94.7%
Sad 46.1%
Calm 24%
Fear 12.2%
Angry 4.9%
Happy 4.7%
Disgusted 3.6%
Confused 3.2%
Surprised 1.3%

AWS Rekognition

Age 19-27
Gender Male, 97.5%
Calm 83.7%
Sad 11.5%
Angry 1.4%
Disgusted 1%
Fear 0.8%
Confused 0.8%
Happy 0.4%
Surprised 0.4%

AWS Rekognition

Age 24-34
Gender Male, 69.1%
Fear 29.7%
Happy 27%
Sad 20.6%
Disgusted 6.4%
Calm 4.4%
Angry 4.2%
Confused 4%
Surprised 3.8%

AWS Rekognition

Age 18-26
Gender Male, 73.2%
Calm 85.7%
Sad 6.7%
Fear 3.8%
Confused 1.4%
Disgusted 0.7%
Angry 0.7%
Happy 0.6%
Surprised 0.4%

AWS Rekognition

Age 28-38
Gender Male, 100%
Disgusted 90.7%
Confused 2.6%
Sad 2.5%
Calm 1.7%
Happy 1.1%
Surprised 0.7%
Angry 0.4%
Fear 0.3%

AWS Rekognition

Age 19-27
Gender Male, 98.6%
Sad 97.3%
Happy 1.4%
Calm 0.7%
Disgusted 0.2%
Angry 0.2%
Fear 0.1%
Confused 0.1%
Surprised 0.1%

AWS Rekognition

Age 21-29
Gender Male, 99.4%
Sad 24.9%
Calm 24.8%
Surprised 16.4%
Confused 15.8%
Disgusted 7.3%
Fear 4.6%
Angry 3.4%
Happy 2.7%

AWS Rekognition

Age 22-30
Gender Male, 99.4%
Calm 51%
Angry 16.2%
Happy 14%
Sad 7.6%
Fear 7.4%
Confused 1.6%
Disgusted 1.6%
Surprised 0.7%

AWS Rekognition

Age 38-46
Gender Male, 96.9%
Disgusted 52.8%
Calm 13.3%
Happy 10.4%
Sad 10%
Fear 5.4%
Confused 3.8%
Angry 3.2%
Surprised 1.1%

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Feature analysis

Amazon

Wheel 99.9%
Person 98.7%

Categories

Imagga

cars vehicles 99%