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, 4.2002.16040

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

Person 98.3
Human 98.3
Person 97.7
Person 93.8
Person 92.4
Wheel 91.9
Machine 91.9
Person 90.8
Person 90.6
Transportation 90.5
Motorcycle 90.5
Vehicle 90.5
Vespa 81.3
Motor Scooter 81.3
Road 73.1
Moped 71.6
Furniture 70.9
Person 63.9
Scooter 58.7
Tarmac 58.7
Asphalt 58.7
Person 56.8
People 56.7
Person 56.6
Person 53.4

Imagga
created on 2022-02-05

wheeled vehicle 100
tricycle 100
vehicle 77.4
conveyance 43.2
motorcycle 40.5
moped 39.8
minibike 31.9
motor scooter 26.3
outdoors 26.3
wheelchair 25.3
people 22.3
park 22.2
outdoor 22.2
man 20.8
sport 20.6
bike 20.5
outside 18
road 17.2
wheel 17
adult 16.8
person 16.5
motor vehicle 15.9
male 15.6
drive 15.1
care 14.8
active 14.4
disabled 13.8
summer 13.5
smiling 13
lifestyle 13
motorbike 12.8
transport 12.8
travel 12.7
motor 12.6
day 12.6
transportation 12.5
men 12
street 12
speed 11.9
grass 11.9
helmet 11.7
ride 11.6
seat 11.5
chair 11.3
happy 11.3
senior 11.2
bicycle 10.9
leisure 10.8
old 10.4
landscape 10.4
sitting 10.3
motion 10.3
help 10.2
sidecar 10
child 10
activity 9.9
pushing 9.8
family 9.8
riding 9.8
boy 9.6
race 9.6
walk 9.5
city 9.1
health 9
fun 9
recreation 9
mountain 8.9
disability 8.9
rider 8.8
wheels 8.8
autumn 8.8
extreme 8.6
play 8.6
golf 8.6
illness 8.6
smile 8.5
fast 8.4
playing 8.2
handicapped 7.9
love 7.9
couple 7.8
cycle 7.8
driver 7.8
retired 7.8
driving 7.7
attractive 7.7
retirement 7.7
course 7.6
walking 7.6
field 7.5
action 7.4
car 7.4
competition 7.3
exercise 7.3
cute 7.2
trees 7.1
medical 7.1
bench 7

Google
created on 2022-02-05

Tire 95.4
Plant 94.6
Motor vehicle 90.5
Wheel 90
Tree 89.7
Asphalt 86.7
Orange 86.1
Road surface 84.7
Sky 82.8
Rolling 82.4
Adaptation 79.3
Grass 79.1
Landscape 78
Tints and shades 77.4
Road 77
People in nature 76.5
Recreation 76.2
Leisure 76.2
Automotive design 70.6
Cart 69.5

Microsoft
created on 2022-02-05

tree 99.8
outdoor 99.4
road 97.9
text 93.7
person 85.2
land vehicle 72.4
vehicle 69
bicycle 53.8
several 11.2

Face analysis

Amazon

Google

AWS Rekognition

Age 23-31
Gender Male, 98.9%
Calm 79.9%
Sad 10.6%
Angry 2.9%
Surprised 1.9%
Disgusted 1.7%
Fear 1.5%
Confused 0.9%
Happy 0.6%

AWS Rekognition

Age 23-33
Gender Male, 91.4%
Happy 93.8%
Disgusted 3.1%
Sad 0.9%
Calm 0.7%
Angry 0.5%
Confused 0.4%
Surprised 0.3%
Fear 0.2%

AWS Rekognition

Age 6-14
Gender Female, 99.7%
Calm 74.9%
Sad 10.7%
Happy 9.6%
Fear 1.3%
Confused 1.1%
Disgusted 0.9%
Angry 0.8%
Surprised 0.6%

AWS Rekognition

Age 16-24
Gender Male, 75.7%
Calm 75.2%
Confused 9.6%
Fear 4.7%
Surprised 3.1%
Happy 2.5%
Disgusted 2.1%
Sad 1.6%
Angry 1.1%

AWS Rekognition

Age 16-22
Gender Male, 98.3%
Calm 39.5%
Sad 22.6%
Fear 10.7%
Surprised 8.9%
Confused 8.2%
Disgusted 4.1%
Angry 3.9%
Happy 2.2%

AWS Rekognition

Age 6-16
Gender Male, 86.2%
Calm 96.3%
Sad 1.7%
Angry 0.6%
Happy 0.6%
Disgusted 0.4%
Surprised 0.2%
Confused 0.2%
Fear 0.1%

AWS Rekognition

Age 30-40
Gender Male, 98.3%
Sad 37.5%
Happy 34.3%
Calm 10.2%
Disgusted 8.6%
Confused 3.7%
Surprised 2.6%
Angry 1.6%
Fear 1.4%

AWS Rekognition

Age 2-8
Gender Female, 76.2%
Fear 44.1%
Calm 43.6%
Happy 6.2%
Disgusted 2%
Angry 1.2%
Sad 1.2%
Confused 0.9%
Surprised 0.7%

AWS Rekognition

Age 10-18
Gender Male, 99.9%
Calm 49.1%
Sad 21.5%
Happy 9.2%
Confused 7.9%
Angry 4.3%
Disgusted 3.4%
Surprised 2.5%
Fear 2%

AWS Rekognition

Age 22-30
Gender Male, 97.3%
Calm 69.5%
Happy 9.8%
Sad 5.3%
Angry 5.1%
Confused 2.8%
Surprised 2.6%
Disgusted 2.6%
Fear 2.2%

AWS Rekognition

Age 23-33
Gender Male, 81.9%
Happy 51.5%
Calm 36.1%
Sad 3.9%
Angry 3.9%
Confused 1.4%
Fear 1.2%
Disgusted 1%
Surprised 1%

AWS Rekognition

Age 2-10
Gender Male, 94.2%
Fear 54.2%
Happy 17%
Calm 12.7%
Confused 6.4%
Sad 3.1%
Surprised 2.9%
Angry 2.4%
Disgusted 1.2%

AWS Rekognition

Age 4-10
Gender Female, 61.4%
Fear 55.3%
Calm 18%
Sad 15.6%
Surprised 4%
Happy 2.6%
Disgusted 2%
Angry 1.9%
Confused 0.6%

AWS Rekognition

Age 18-26
Gender Male, 99.4%
Calm 70.1%
Happy 14.8%
Disgusted 6.6%
Sad 3.1%
Confused 1.9%
Angry 1.4%
Surprised 1.2%
Fear 0.9%

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Unlikely
Blurred Likely

Feature analysis

Amazon

Person 98.3%
Wheel 91.9%

Captions

Microsoft

a group of people riding a motorcycle on the side of a road 91%
a group of people riding on the back of a motorcycle 85.9%
a group of people riding a motorcycle on the side of the road 85.8%

Text analysis

Amazon

EIFW
MAGOM
kirw

Google

KODVK
KODVK