Human Generated Data

Title

Untitled (dignitaries riding in convertible in town parade)

Date

c. 1950

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, 4.2002.13672

Human Generated Data

Title

Untitled (dignitaries riding in convertible in town parade)

People

Artist: Jack Rodden Studio, American 1914 - 2016

Date

c. 1950

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2022-02-04

Vehicle 99.2
Transportation 99.2
Car 99.2
Automobile 99.2
Machine 96
Wheel 96
Human 93.2
Convertible 90.1
Crowd 79.2
Person 75.2
Urban 74.5
Person 72.5
Tire 71.6
People 69.6
Building 69.2
City 69.2
Town 69.2
Spoke 69.1
Sports Car 68.7
Hot Rod 67
Road 63.9
Person 62
Car Wheel 60.8
Person 60.1
Antique Car 59.6
Street 57.4
Driving 56.4
Model T 55.4
Wheel 53.3

Imagga
created on 2022-02-04

amphibian 100
motor vehicle 100
car 54.1
wheeled vehicle 52.5
vehicle 50.2
transportation 34
travel 25.3
road 25.3
automobile 23
speed 22.9
transport 21.9
auto 20.1
city 19.1
architecture 18.9
street 18.4
drive 18
sky 15.9
urban 15.7
tourism 15.7
light 15.4
fast 14.9
building 13.8
modern 13.3
traffic 13.3
racing 12.7
old 12.5
engine 12.5
vacation 12.3
luxury 12
motion 12
river 11.6
wheel 11.5
truck 11.3
scene 11.2
town 11.1
power 10.9
motor 10.6
highway 10.6
expensive 10.5
metal 10.5
bridge 10.4
technology 10.4
boat 10.2
water 10
sport 9.9
asphalt 9.8
reflection 9.7
landscape 9.7
race 9.6
tourist 9.1
black 9
cars 8.8
ship 8.6
blur 8.4
vintage 8.3
landmark 8.1
airport 8
station 8
tire 8
automotive 7.8
sea 7.8
ocean 7.5
outdoors 7.5
land 7.4
industrial 7.3
interior 7.1
summer 7.1

Microsoft
created on 2022-02-04

outdoor 97.8
land vehicle 97.4
road 97.4
vehicle 96.7
text 95.5
wheel 90.1
car 88.7
white 74.2
curb 6.1

Face analysis

Amazon

AWS Rekognition

Age 23-33
Gender Male, 84.6%
Calm 59.1%
Sad 19.3%
Happy 10.5%
Angry 5.2%
Disgusted 1.8%
Confused 1.7%
Fear 1.7%
Surprised 0.8%

AWS Rekognition

Age 23-31
Gender Male, 86.5%
Calm 54.2%
Sad 23.6%
Happy 12.7%
Fear 5.1%
Angry 1.7%
Disgusted 1.5%
Confused 0.7%
Surprised 0.5%

AWS Rekognition

Age 22-30
Gender Male, 97.2%
Calm 44.3%
Sad 22.8%
Fear 13.3%
Happy 11.2%
Confused 3%
Angry 2.2%
Disgusted 2.1%
Surprised 1.1%

AWS Rekognition

Age 29-39
Gender Male, 79.1%
Calm 67.9%
Disgusted 11.2%
Happy 6.8%
Sad 5.8%
Angry 2.8%
Fear 1.9%
Surprised 1.8%
Confused 1.7%

AWS Rekognition

Age 20-28
Gender Male, 86.5%
Calm 90%
Sad 6.4%
Happy 1.3%
Disgusted 0.8%
Fear 0.6%
Confused 0.4%
Angry 0.3%
Surprised 0.1%

AWS Rekognition

Age 25-35
Gender Male, 98.9%
Disgusted 55.3%
Sad 13.4%
Calm 8.3%
Confused 8.1%
Angry 8%
Surprised 2.8%
Happy 2.4%
Fear 1.7%

AWS Rekognition

Age 26-36
Gender Male, 94.3%
Happy 72.7%
Calm 18.9%
Sad 2.3%
Angry 2%
Fear 1.7%
Surprised 0.9%
Disgusted 0.8%
Confused 0.6%

AWS Rekognition

Age 24-34
Gender Male, 99.7%
Calm 69.2%
Surprised 9.3%
Sad 6.3%
Happy 4.9%
Fear 2.8%
Angry 2.8%
Confused 2.7%
Disgusted 2.1%

AWS Rekognition

Age 23-33
Gender Male, 98.2%
Calm 83.5%
Happy 10.5%
Sad 2.8%
Angry 1.4%
Disgusted 0.8%
Surprised 0.5%
Confused 0.3%
Fear 0.3%

AWS Rekognition

Age 6-14
Gender Female, 75.4%
Calm 51.7%
Happy 45%
Fear 1%
Sad 0.7%
Angry 0.5%
Confused 0.4%
Disgusted 0.3%
Surprised 0.3%

AWS Rekognition

Age 22-30
Gender Male, 70.6%
Happy 39.8%
Fear 35.8%
Sad 7.9%
Disgusted 5.7%
Calm 5.2%
Surprised 2.9%
Angry 2%
Confused 0.7%

AWS Rekognition

Age 18-24
Gender Male, 91.4%
Happy 67.1%
Calm 18.4%
Fear 3.7%
Disgusted 3.1%
Sad 3%
Angry 1.9%
Surprised 1.6%
Confused 1.3%

AWS Rekognition

Age 28-38
Gender Male, 80.6%
Calm 80.8%
Happy 11.4%
Sad 4.8%
Angry 1%
Fear 0.7%
Disgusted 0.6%
Surprised 0.4%
Confused 0.3%

AWS Rekognition

Age 25-35
Gender Female, 69.2%
Sad 39.9%
Calm 26.7%
Fear 12%
Happy 11.7%
Angry 5.5%
Disgusted 2.1%
Confused 1.1%
Surprised 1.1%

AWS Rekognition

Age 22-30
Gender Female, 76.8%
Happy 62.2%
Calm 17.2%
Sad 6.6%
Angry 5.2%
Disgusted 3.9%
Fear 2%
Surprised 1.9%
Confused 1.1%

AWS Rekognition

Age 27-37
Gender Male, 71.4%
Calm 97.4%
Sad 1.7%
Angry 0.3%
Confused 0.2%
Happy 0.1%
Disgusted 0.1%
Fear 0.1%
Surprised 0.1%

AWS Rekognition

Age 22-30
Gender Male, 92%
Calm 75.3%
Sad 15.5%
Angry 3.4%
Happy 1.6%
Confused 1.2%
Surprised 1.1%
Disgusted 0.9%
Fear 0.9%

AWS Rekognition

Age 18-24
Gender Male, 93.3%
Calm 58.6%
Happy 28.3%
Sad 7.9%
Disgusted 1.8%
Fear 1%
Surprised 1%
Angry 1%
Confused 0.5%

AWS Rekognition

Age 26-36
Gender Male, 86.2%
Calm 90.6%
Sad 2.8%
Fear 2.8%
Happy 1.2%
Disgusted 0.9%
Angry 0.7%
Confused 0.6%
Surprised 0.5%

Feature analysis

Amazon

Car 99.2%
Wheel 96%
Person 75.2%

Captions

Microsoft

a car parked on the side of a building 76.4%
a person sitting on the side of a building 76.3%
a bus that is sitting on the side of a building 44.2%

Text analysis

Amazon

FILM
DENNIS
BANK
CHAVES
GLOVER
HOMER GLOVER
HOMER
KODAK
onal
NATIONAL
SEN DENNIS CHAVES
-
SANDRE
SEN
SAFETY
SANDRE HARPER
FIRST
HARPER
GOL
the

Google

SANDRS
FIAST BANK BLE HOMER GLOVER SEN DENNIS CHAVES SANDRS WARDER
SEN
WARDER
BANK
BLE
HOMER
GLOVER
DENNIS
FIAST
CHAVES