Human Generated Data

Title

Untitled (four photographs: man pulling boy in wagon; family seated in Studebaker convertible; family having picnic outside by car; woman and girl having picnic outside by car)
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, 4.2002.13819

Human Generated Data

Title

Untitled (four photographs: man pulling boy in wagon; family seated in Studebaker convertible; family having picnic outside by car; woman and girl having picnic outside by car)

People

Artist: Jack Rodden Studio, American 1914 - 2016

Date

c. 1950, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.13819

Machine Generated Data

Tags

Amazon
created on 2019-11-16

Wheel 99.2
Machine 99.2
Person 98.7
Human 98.7
Person 98.5
Person 98.2
Wheel 98.2
Automobile 98
Vehicle 98
Transportation 98
Wheel 96.5
Car 96.3
Wheel 95.5
Antique Car 94.9
Model T 94.9
Tire 93.8
Wheel 92
Person 91.3
Car 88.6
Person 88
Person 87.8
Car Wheel 84.8
Hot Rod 82.7
Spoke 79.9
Person 72.7
Person 71.7
Car 67.3
Person 66.9
Person 66.8
Person 64.7
Camera 62.5
Electronics 62.5
Alloy Wheel 59.6
Advertisement 57.6
Poster 57.6
Collage 57.6
Person 41.6

Clarifai
created on 2019-11-16

vehicle 100
people 99.8
car 99.7
transportation system 99.7
driver 99.1
adult 97.3
truck 95.8
man 94.5
machine 94.1
group 93.8
many 91.7
wagon 91.5
one 91.5
drive 90.1
engine 88.9
group together 85.2
retro 84.7
canine 84.1
track 82.1
war 81.6

Imagga
created on 2019-11-16

loudspeaker 32.3
equipment 20.4
device 16.3
black 15.6
design 14
electrical device 13.5
grunge 12.8
technology 12.6
stove 12
transportation 11.6
man 11.4
shop 11.2
speed 11
shelf 10.5
computer 10.5
window 10.1
car 9.8
modern 9.8
digital 9.7
style 9.6
power 9.2
wood 9.2
people 8.9
pattern 8.9
interior 8.8
urban 8.7
art 8.7
light 8.7
machine 8.6
vehicle 8.6
home appliance 8.6
electronic equipment 8.5
building 8.2
sport 8.2
appliance 8.1
road 8.1
detail 8
home 8
old 7.7
card 7.6
texture 7.6
poster 7.5
vintage 7.4
camera 7.4
brown 7.4
street 7.4
business 7.3
color 7.2
travel 7
decoration 7
indoors 7
table 7

Google
created on 2019-11-16

Motor vehicle 97.4
Vehicle 92.4
Vintage car 90.5
Car 88.4
Classic 85.8
Antique car 64.7
Classic car 60.2
Race car 59.9
Open-wheel car 50.1

Microsoft
created on 2019-11-16

wheel 99.2
land vehicle 98.9
text 97.7
vehicle 97.6
tire 97.1
auto part 95.8
motorcycle 90.9
old 71.4
car 70.9
vintage 29.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 36-54
Gender Male, 50.3%
Disgusted 49.5%
Calm 49.9%
Confused 49.5%
Sad 50.1%
Happy 49.5%
Angry 49.5%
Fear 49.5%
Surprised 49.5%

AWS Rekognition

Age 4-14
Gender Male, 50.2%
Happy 49.7%
Angry 49.6%
Disgusted 49.6%
Confused 49.5%
Sad 49.7%
Calm 49.8%
Surprised 49.5%
Fear 49.6%

AWS Rekognition

Age 30-46
Gender Female, 50.4%
Calm 49.6%
Fear 49.7%
Sad 50%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 36-54
Gender Male, 50.2%
Fear 49.5%
Sad 49.5%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Calm 50.5%

AWS Rekognition

Age 20-32
Gender Male, 50.3%
Calm 50.1%
Fear 49.5%
Happy 49.5%
Angry 49.7%
Surprised 49.5%
Disgusted 49.5%
Sad 49.6%
Confused 49.6%

AWS Rekognition

Age 14-26
Gender Female, 50.2%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%
Happy 49.5%
Sad 49.6%
Calm 50.3%
Surprised 49.5%
Fear 49.5%

AWS Rekognition

Age 13-23
Gender Female, 50.5%
Disgusted 49.5%
Happy 50.4%
Angry 49.5%
Confused 49.5%
Calm 49.5%
Fear 49.5%
Sad 49.5%
Surprised 49.5%

AWS Rekognition

Age 4-14
Gender Female, 50.1%
Disgusted 49.5%
Happy 50.2%
Fear 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.7%
Angry 49.5%
Sad 49.5%

AWS Rekognition

Age 21-33
Gender Female, 50.1%
Disgusted 49.5%
Surprised 49.6%
Happy 49.9%
Confused 49.5%
Sad 49.5%
Fear 49.5%
Angry 49.5%
Calm 49.9%

AWS Rekognition

Age 24-38
Gender Male, 50.5%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Sad 50.4%
Fear 49.5%
Calm 49.5%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 4-14
Gender Female, 50.3%
Sad 50.2%
Happy 49.7%
Fear 49.5%
Calm 49.5%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 24-38
Gender Male, 50.3%
Angry 49.7%
Happy 49.5%
Fear 49.5%
Disgusted 49.5%
Sad 50.1%
Calm 49.6%
Surprised 49.5%
Confused 49.5%

Feature analysis

Amazon

Wheel 99.2%
Person 98.7%
Car 96.3%
Camera 62.5%

Categories

Imagga

paintings art 85.5%
interior objects 13.6%

Captions

Microsoft
created on 2019-11-16

a vintage photo of a person 83.9%
a vintage photo of a person 81.8%
a vintage photo of a store 74%

Text analysis

Amazon

STUDEBAKER
26329
MODEL
STUDEBAKER RRESIDENTO
RAN
RAN N30000MILES 26329
RRESIDENTO
STRICTLY STOC MODEL
STRICTLY
N30000MILES
1928
STOC
T23400
ArharicChy

Google

BRESIDENT
STRICTLY
STO
CK
MODEL
RAN30000
MILES
FSTUDEBAKER BRESIDENT STRICTLY STO CK MODEL RAN30000 MILES 26329 S Aletic CtySpedw2Aug8 1928
FSTUDEBAKER
26329
S
Aletic
CtySpedw2Aug8
1928