Human Generated Data

Title

Untitled (four photographs: three-story building on corner lot with cars in front; man and woman with old car in front of rural house; three girls and one child in Studebaker convertible; man sitting on fender of car with sigh that reads 'photographs live forever')
Date

c. 1950, printed later
People

Artist: Jack Rodden Studio, American 1914 - 2016
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.13823

Human Generated Data

Title

Untitled (four photographs: three-story building on corner lot with cars in front; man and woman with old car in front of rural house; three girls and one child in Studebaker convertible; man sitting on fender of car with sigh that reads 'photographs live forever')

People

Artist: Jack Rodden Studio, American 1914 - 2016

Date

c. 1950, printed later

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2019-11-16

Person 99.1
Human 99.1
Car 98.7
Transportation 98.7
Automobile 98.7
Vehicle 98.7
Person 98.1
Machine 96.9
Wheel 96.9
Person 96.2
Wheel 95.7
Poster 95.5
Collage 95.5
Advertisement 95.5
Car 94.4
Wheel 93
Person 92.5
Person 90.8
Wheel 87.3
Tire 83.3
Spoke 82.6
Car Wheel 72.5
Truck 63.8
Wheel 62.2
Car 60.6
Antique Car 57.6
Model T 57.6
Home Decor 55.7
Truck 51.5

Clarifai
created on 2019-11-16

vehicle 99.9
people 99.9
transportation system 99.1
car 98.2
adult 97.4
monochrome 97
truck 96.6
group 96.3
man 95.8
driver 94.4
one 94
machine 92.2
military 91.1
group together 90.7
two 89.9
family 89.7
engine 89.4
street 88.6
room 88.3
furniture 88

Imagga
created on 2019-11-16

vehicle 34.2
television 24.8
television camera 24.4
car 22.6
engine 21.1
equipment 20.6
television equipment 19.5
black 16.8
old 16.7
electronic equipment 16.4
metal 16.1
transportation 14.3
wheeled vehicle 14
machine 13.4
broadcasting 13
military vehicle 12.8
motor 12.7
vintage 12.4
motor vehicle 12
device 11.8
half track 11.3
technology 11.1
transport 10.9
auto 10.5
sky 10.2
tracked vehicle 10.2
city 10
telecommunication 9.7
architecture 9.4
power 9.2
truck 9.2
industrial 9.1
photographer 9.1
mechanical 8.7
war 8.6
pollution 8.6
work 8.6
automobile 8.6
industry 8.5
people 8.4
classic 8.3
building 8.2
retro 8.2
cockpit 8.1
man 8.1
army 7.8
military 7.7
telecommunication system 7.7
wheel 7.5
billboard 7.4
projector 7.4
vacation 7.4
design 7.3
locomotive 7.1
film 7.1

Google
created on 2019-11-16

Motor vehicle 97.4
Photograph 96.1
Classic 85.8
Vehicle 81.6
Photographic paper 80.7
Car 79.8
Vintage car 79.3
Room 65.7
Photography 62.4
Classic car 59.5
Photograph album 55.6
Antique car 52.8

Microsoft
created on 2019-11-16

land vehicle 97
text 96.6
vehicle 95.9
wheel 95.2
car 87.7
black and white 83.7
person 68.2
auto part 58

Face analysis

Amazon

AWS Rekognition

Age 23-37
Gender Male, 50.4%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.6%
Fear 49.5%
Calm 50.2%
Happy 49.5%
Sad 49.5%

AWS Rekognition

Age 8-18
Gender Female, 50%
Calm 49.9%
Confused 49.5%
Fear 49.6%
Sad 50%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%

AWS Rekognition

Age 26-40
Gender Male, 50.2%
Surprised 49.6%
Confused 49.5%
Sad 49.8%
Disgusted 49.5%
Angry 49.6%
Calm 49.9%
Fear 49.6%
Happy 49.5%

AWS Rekognition

Age 7-17
Gender Male, 50%
Surprised 49.5%
Sad 50%
Disgusted 49.5%
Calm 49.5%
Fear 49.9%
Angry 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 20-32
Gender Female, 50.3%
Surprised 49.5%
Sad 49.5%
Fear 49.5%
Angry 49.5%
Happy 50.3%
Disgusted 49.5%
Confused 49.5%
Calm 49.7%

AWS Rekognition

Age 39-57
Gender Male, 50.3%
Surprised 49.8%
Fear 49.7%
Disgusted 49.5%
Calm 49.5%
Angry 49.5%
Confused 49.5%
Happy 49.9%
Sad 49.5%

AWS Rekognition

Age 20-32
Gender Female, 50.4%
Calm 49.5%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 50.4%
Confused 49.5%
Fear 49.6%
Surprised 49.5%

AWS Rekognition

Age 24-38
Gender Female, 50.1%
Fear 49.5%
Happy 49.9%
Angry 49.5%
Disgusted 49.5%
Sad 49.6%
Surprised 49.5%
Calm 49.9%
Confused 49.5%

AWS Rekognition

Age 28-44
Gender Male, 50.4%
Angry 49.5%
Sad 49.5%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Disgusted 49.5%
Calm 50.3%
Fear 49.5%

AWS Rekognition

Age 29-45
Gender Female, 50.1%
Fear 49.8%
Calm 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.5%
Sad 50.1%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 8-18
Gender Female, 50.1%
Sad 50.4%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Fear 49.5%
Angry 49.5%
Calm 49.5%

Feature analysis

Amazon

Person 99.1%
Car 98.7%
Wheel 96.9%
Truck 63.8%

Captions

Microsoft

a group of people in a room 71%
a group of people posing for a photo in front of a television 49.4%
a group of people standing in front of a window 43.4%

Text analysis

Amazon

RRESIDENT
SHSTUDEBAKER RRESIDENT
26329
SHSTUDEBAKER
RAN3000MILES 26329
STRICTLY
STOCK
RAN3000MILES
STRICTLY STOCK MODFI
Cly
MODFI
Speda
Arlartig Cly Speda
Arlartig