Human Generated Data

Title

Untitled (drivers drag-racing in tiny cars)

Date

1960

People

Artist: Jack Gould, American

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.16034.2

Human Generated Data

Title

Untitled (drivers drag-racing in tiny cars)

People

Artist: Jack Gould, American

Date

1960

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.16034.2

Machine Generated Data

Tags

Amazon
created on 2022-02-11

Person 97.8
Human 97.8
Kart 97.6
Vehicle 97.6
Transportation 97.6
Person 96.1
Person 89.4
Person 84
Person 83.5
Person 82.3
Motorcycle 81.2
Person 78.7
Soil 77.6
Wheel 68.3
Machine 68.3
Person 64.2
Person 64.1
Person 62.6
Person 62.5
Buggy 62.2
Sports Car 61.7
Car 61.7
Automobile 61.7
Outdoors 58.3
Helmet 57.9
Clothing 57.9
Apparel 57.9

Clarifai
created on 2023-10-29

people 99.7
child 99.1
transportation system 98.9
cart 98.6
road 98
vehicle 97.8
street 97.7
travel 97.5
roll along 96.2
group 95.8
seated 95.4
carriage 95.2
woman 94.5
man 94.3
recreation 93.6
city 93.1
wagon 91.7
no person 90.8
bike 89.9
sunset 89.9

Imagga
created on 2022-02-11

wheelchair 74.8
chair 58.2
wheeled vehicle 55.5
seat 39.5
vehicle 38.1
tricycle 35.2
furniture 26.4
man 25.5
motor vehicle 22.9
outdoors 22.8
beach 21.4
go-kart 20.4
summer 19.9
conveyance 19.8
outdoor 18.3
sea 17.2
people 16.7
sky 16.6
sport 16.4
male 16.4
adult 16.2
ocean 15.8
sand 15.7
road 15.3
travel 14.8
shopping cart 14.6
bicycle 14.5
day 13.3
park 13.2
vacation 13.1
fun 12.7
furnishing 12.7
transportation 12.5
happy 12.5
outside 12
handcart 11.9
active 11.7
recreation 11.6
wheel 11.3
sitting 11.2
person 10.9
city 10.8
activity 10.7
street 10.1
lifestyle 10.1
leisure 10
disabled 9.9
bike 9.8
riding 9.7
landscape 9.7
sun 9.7
couple 9.6
senior 9.4
water 9.3
two 9.3
tree 9.2
bicycle-built-for-two 9.1
care 9
grass 8.7
smiling 8.7
men 8.6
drive 8.5
attractive 8.4
speed 8.2
transport 8.2
cart 8.1
sunset 8.1
course 8
building 7.9
together 7.9
holiday 7.9
urban 7.9
sunny 7.7
golf 7.6
clouds 7.6
field 7.5
equipment 7.4
tourism 7.4
island 7.3
car 7.2
smile 7.1

Google
created on 2022-02-11

Cloud 93.4
Sky 91.5
Human 88.9
Tire 88.3
Motor vehicle 85.6
Wheel 82.7
Automotive tire 81.6
Asphalt 81
Adaptation 79.5
Landscape 78.5
Travel 77.5
Rectangle 77.5
Tints and shades 77.4
Technology 75.2
Vehicle 74.1
Room 67.8
Road 66.5
Stock photography 64.3
Font 63.3
Square 62.6

Microsoft
created on 2022-02-11

outdoor 98.1
person 89.8
desert 89.5
vehicle 82.7
text 78.3
sky 73.9
land vehicle 68.5
mountain 59.7
cloud 56
wheel 50.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-36
Gender Male, 99.9%
Happy 77%
Calm 20.1%
Sad 1.2%
Fear 0.4%
Surprised 0.4%
Disgusted 0.3%
Angry 0.3%
Confused 0.2%

AWS Rekognition

Age 28-38
Gender Male, 96.4%
Happy 75.4%
Sad 11.8%
Calm 9.8%
Confused 1.5%
Disgusted 0.7%
Surprised 0.4%
Angry 0.3%
Fear 0.2%

AWS Rekognition

Age 16-24
Gender Male, 96.7%
Calm 74.6%
Happy 15.5%
Sad 3.5%
Confused 2.3%
Angry 1.4%
Surprised 1%
Fear 0.8%
Disgusted 0.8%

AWS Rekognition

Age 21-29
Gender Female, 83.7%
Calm 49.2%
Happy 15.7%
Confused 9.7%
Disgusted 7.1%
Angry 6.3%
Surprised 5.4%
Sad 4.4%
Fear 2.1%

AWS Rekognition

Age 26-36
Gender Male, 99.3%
Calm 97.8%
Happy 0.8%
Surprised 0.4%
Angry 0.3%
Sad 0.3%
Confused 0.2%
Disgusted 0.1%
Fear 0.1%

AWS Rekognition

Age 23-33
Gender Male, 53%
Happy 32.6%
Sad 25.8%
Calm 18.4%
Fear 13.8%
Angry 3%
Confused 2.4%
Disgusted 2.3%
Surprised 1.7%

AWS Rekognition

Age 20-28
Gender Female, 94.9%
Sad 96.2%
Fear 1.9%
Angry 0.5%
Disgusted 0.4%
Calm 0.3%
Confused 0.3%
Surprised 0.2%
Happy 0.2%

AWS Rekognition

Age 23-31
Gender Male, 96%
Calm 95.5%
Happy 1.3%
Fear 1%
Sad 0.6%
Disgusted 0.5%
Angry 0.4%
Surprised 0.4%
Confused 0.3%

Feature analysis

Amazon

Person
Wheel
Person 97.8%
Person 96.1%
Person 89.4%
Person 84%
Person 83.5%
Person 82.3%
Person 78.7%
Person 64.2%
Person 64.1%
Person 62.6%
Person 62.5%
Wheel 68.3%

Categories

Text analysis

Amazon

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KORRY
Z
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Google

EITW
EITW