Human Generated Data

Title

Hicksville Train Station
Date

1978
People

Artist: Elaine Mayes, American born 1938
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, 2.2002.1682
Copyright

© Elaine Mayes

Human Generated Data

Title

Hicksville Train Station

People

Artist: Elaine Mayes, American born 1938

Date

1978

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2022-01-09

Person 99.5
Human 99.5
Person 99.4
Person 99.4
Person 99.2
Person 97.7
Person 91.5
Vehicle 88
Transportation 88
Bicycle 82.6
Bike 82.6
Pedestrian 80.2
Architecture 67.1
Building 67.1
Pillar 62.8
Column 62.8
Cyclist 60.4
Sport 60.4
Sports 60.4
Floor 59.2
Tricycle 58.6

Imagga
created on 2022-01-09

ashcan 34.3
bin 29.3
wheelchair 28.5
chair 24.4
container 22.6
architecture 21.2
tricycle 18
seat 17.7
city 17.4
door 16.9
wheeled vehicle 15.3
travel 14.1
urban 14
old 13.2
stone 13
people 12.8
building 12.8
furniture 12.6
gate 12.6
wall 12.5
street 12
road 11.7
man 11.4
vehicle 11.4
silhouette 10.8
tourism 9.9
transportation 9.9
window 9.7
entrance 9.7
snow 9.2
house 9.2
business 9.1
sky 8.9
landscape 8.9
to 8.8
bicycle 8.8
bike 8.8
light 8.7
water 8.7
office 8.6
bridge 8.5
sea 7.8
male 7.8
scene 7.8
ancient 7.8
construction 7.7
park 7.4
room 7.4
conveyance 7.4
device 7.3
transport 7.3
movable barrier 7.2
person 7.2
home 7.2
sliding door 7.1
interior 7.1
modern 7

Google
created on 2022-01-09

Black-and-white 85.3
Gesture 85.3
Style 84
Adaptation 79.4
Monochrome photography 77.8
Tints and shades 77.3
Monochrome 76.6
Rectangle 67.6
Room 67.5
Visual arts 65.3
Vintage clothing 64.6
Sitting 62.3
History 62
Arch 61.9
Street 59.7
Photographic paper 59.3
Tree 59.2
Curtain 57.3
Walking 52
Still life photography 51.6

Microsoft
created on 2022-01-09

black and white 93.7
person 93.3
footwear 89.6
clothing 89.6
text 86.2
man 82
monochrome 81.1
gallery 70.3
street 60.6
megalith 26
stone 4.8

Face analysis

Amazon

Google

AWS Rekognition

Age 25-35
Gender Female, 91%
Calm 99.4%
Sad 0.3%
Angry 0.1%
Surprised 0.1%
Disgusted 0.1%
Happy 0%
Fear 0%
Confused 0%

AWS Rekognition

Age 20-28
Gender Female, 55.5%
Sad 46.2%
Calm 34.9%
Angry 5.3%
Happy 5.2%
Surprised 2.7%
Fear 2.6%
Confused 2%
Disgusted 1.1%

AWS Rekognition

Age 22-30
Gender Male, 83.4%
Sad 83.9%
Calm 6.3%
Happy 6%
Confused 1.6%
Angry 1.1%
Fear 0.5%
Disgusted 0.4%
Surprised 0.2%

AWS Rekognition

Age 29-39
Gender Female, 66.7%
Calm 95%
Fear 1.2%
Sad 1%
Surprised 1%
Happy 0.6%
Disgusted 0.6%
Confused 0.4%
Angry 0.2%

Google Vision

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

Feature analysis

Amazon

Person 99.5%

Captions

Microsoft

a person standing in front of a building 83.7%
a person standing in front of a building 83.6%
a man and a woman standing in front of a building 66.7%