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, 4.2002.16038

Human Generated Data

Title

Untitled (drivers drag-racing in tiny cars)

People

Artist: Jack Gould, American

Date

1960

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2022-02-05

Vehicle 98.8
Motor Scooter 98.8
Vespa 98.8
Motorcycle 98.8
Transportation 98.8
Person 98.6
Human 98.6
Person 98.1
Wheel 93.6
Machine 93.6
Scooter 86.8
Person 86.8
Person 85.7
Moped 84.3
Wheel 76.3
Person 74.9
Wheel 73.3
Person 69.7
Person 65.1
Wheel 55
Person 51.1
Person 49.6

Imagga
created on 2022-02-05

car 68
racer 62.3
motor vehicle 42.1
road 39.7
sidecar 30.3
sky 28
landscape 22.3
wheeled vehicle 20.3
transportation 19.7
travel 19.7
vehicle 18.7
speed 18.3
highway 17.3
grass 16.6
drive 16.1
tree 15.4
field 15
summer 14.8
street 14.7
transport 14.6
outdoor 14.5
outdoors 14.4
sun 13.7
sunset 13.5
conveyance 13.4
trees 13.3
rural 13.2
fast 13.1
sport 12.8
driving 12.6
park 11.8
truck 11.3
asphalt 11.3
land 11.1
motion 11.1
horizon 10.8
automobile 10.5
auto 10.5
race 10.5
mountains 10.2
clouds 10.1
countryside 10
ball 10
track 9.6
traffic 9.5
cloud 9.5
spring 9.4
day 9.4
yellow 9.3
sports 9.2
mountain 9
farm 8.9
autumn 8.8
country 8.8
scenic 8.8
man 8.7
scene 8.6
wheel 8.6
male 8.5
light 8.1
meadow 8.1
lifestyle 7.9
athlete 7.9
forest 7.8
racing 7.8
cars 7.8
moving 7.6
competition 7.3
trailer 7.2
agriculture 7
speedway 7

Google
created on 2022-02-05

Tire 95.3
Plant 94.8
Motor vehicle 91.7
Light 91.1
Tree 90
Asphalt 88.6
Orange 88.2
Sky 86.6
Gesture 85.3
Mode of transport 85.1
Road surface 84.6
Yellow 84.5
Happy 83
Grass 80.7
Road 79.9
Adaptation 79.4
Automotive design 78.9
Morning 78.9
Landscape 78.3
Rolling 77.6

Microsoft
created on 2022-02-05

tree 97.8
outdoor 97.8
vehicle 95.1
land vehicle 95
text 87.5
wheel 83.6
car 63.2
person 58.7
way 43.2
several 11.4

Face analysis

Amazon

AWS Rekognition

Age 25-35
Gender Male, 94.4%
Disgusted 73.1%
Happy 19.9%
Calm 2.9%
Fear 1.7%
Surprised 0.6%
Confused 0.6%
Sad 0.6%
Angry 0.5%

AWS Rekognition

Age 20-28
Gender Female, 88.9%
Sad 44.7%
Happy 21%
Disgusted 9%
Calm 7.3%
Fear 6.9%
Confused 5.6%
Surprised 3.6%
Angry 1.8%

AWS Rekognition

Age 9-17
Gender Male, 97.5%
Calm 66.6%
Happy 27.5%
Sad 2.2%
Disgusted 1.5%
Angry 0.7%
Confused 0.6%
Surprised 0.5%
Fear 0.4%

AWS Rekognition

Age 33-41
Gender Male, 74.8%
Disgusted 57.4%
Sad 22.6%
Angry 6.9%
Fear 5%
Happy 4.4%
Calm 1.8%
Surprised 1.2%
Confused 0.7%

AWS Rekognition

Age 21-29
Gender Male, 99.8%
Happy 96.5%
Calm 1.7%
Surprised 0.7%
Sad 0.5%
Disgusted 0.2%
Fear 0.1%
Confused 0.1%
Angry 0.1%

AWS Rekognition

Age 23-33
Gender Male, 87.1%
Sad 43.3%
Calm 16.8%
Angry 16.3%
Disgusted 7%
Confused 6.7%
Happy 4.4%
Surprised 3.2%
Fear 2.3%

AWS Rekognition

Age 23-33
Gender Female, 64.6%
Sad 52.3%
Calm 18.6%
Happy 13.9%
Confused 5.5%
Surprised 3%
Angry 2.9%
Fear 2.6%
Disgusted 1.2%

AWS Rekognition

Age 16-24
Gender Male, 98.9%
Sad 35.5%
Fear 31.9%
Calm 8.9%
Confused 7.8%
Angry 6.5%
Disgusted 6.1%
Surprised 2%
Happy 1.2%

AWS Rekognition

Age 7-17
Gender Male, 92.5%
Sad 66.2%
Calm 13.6%
Confused 4.9%
Disgusted 3.5%
Angry 3.4%
Surprised 3.3%
Fear 3%
Happy 2.3%

AWS Rekognition

Age 25-35
Gender Female, 97.5%
Calm 56.7%
Confused 25.9%
Surprised 4.6%
Sad 4%
Happy 3%
Disgusted 2.6%
Fear 2%
Angry 1.1%

AWS Rekognition

Age 6-16
Gender Male, 99.9%
Calm 93.6%
Happy 3%
Confused 1.2%
Surprised 0.6%
Disgusted 0.5%
Angry 0.4%
Sad 0.4%
Fear 0.2%

AWS Rekognition

Age 25-35
Gender Male, 97.3%
Happy 45.3%
Calm 25.2%
Sad 10.1%
Angry 6.6%
Disgusted 5%
Surprised 3.9%
Fear 3.2%
Confused 0.6%

Feature analysis

Amazon

Person 98.6%
Wheel 93.6%

Captions

Microsoft

a group of people sitting in a parking lot 80.7%
a group of people on a motorcycle in a parking lot 64.9%
a group of people standing in a parking lot 64.8%

Text analysis

Amazon

SIGNS
3
EI
MJI7
XAOOX
ح
FERGISM
YT37A2

Google

EIrW
KODVK
2.VEEIA
EIrW KODVK 2.VEEIA