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, 4.2002.16039

Human Generated Data

Title

Untitled (drivers drag-racing in tiny cars)

People

Artist: Jack Gould, American

Date

1960

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.16039

Machine Generated Data

Tags

Amazon
created on 2022-02-05

Automobile 98.9
Vehicle 98.9
Transportation 98.9
Wheel 98.5
Machine 98.5
Car 96.8
Sports Car 96.1
Person 93
Human 93
Convertible 92.9
Person 91.2
Tarmac 89.9
Asphalt 89.9
Person 89.4
Wheel 89
Wheel 88.2
Wheel 87.5
Person 85.7
Person 84.5
Person 82.5
Race Car 77.2
Hot Rod 76.8
Person 76.4
Wheel 76.4
Coupe 71.6
Motorcycle 71
Person 66.6
Person 66.6
Person 64.5
Person 63.7
Person 58.2
Kart 56.9
Person 54.6

Clarifai
created on 2023-10-29

bike 99.8
scooter 99.5
motorbike 99.1
road 99.1
transportation system 98.8
sport 98.8
street 98.8
people 98.7
vehicle 98.5
hurry 98.4
biker 98.1
car 98.1
fast 97.9
driver 97.4
drive 97.1
wheel 96.6
roll along 94.9
race 94.7
seated 93.5
motorcyclist 93

Imagga
created on 2022-02-05

wheeled vehicle 89.1
vehicle 75.8
motor scooter 65.8
conveyance 54.4
tricycle 38.8
road 28
sidecar 25.3
motorcycle 24.9
car 21.5
speed 21.1
sport 20
outdoor 19.9
moped 18.7
drive 17
sky 16.6
transport 16.4
landscape 16.4
travel 16.2
outdoors 15.8
minibike 15
fast 15
motor vehicle 14.9
man 14.8
male 14.2
people 13.9
motor 13.6
driving 13.5
summer 13.5
transportation 13.4
outside 12.8
grass 12.6
activity 12.5
lifestyle 12.3
fun 12
field 11.7
park 11.5
golf 11.5
person 11.3
motion 11.1
adult 11
motorbike 10.9
bike 10.7
cart 10.7
trees 10.7
course 10.6
street 10.1
leisure 10
active 9.9
vacation 9.8
driver 9.7
race 9.6
helmet 9.1
racing 8.8
wheels 8.8
boy 8.7
highway 8.7
wheel 8.6
day 8.6
play 8.6
men 8.6
traffic 8.5
sports 8.3
safety 8.3
competition 8.2
sand 8.1
sunset 8.1
recreation 8.1
resort area 7.9
forest 7.8
engine 7.7
tree 7.7
track 7.7
winter 7.7
clouds 7.6
blur 7.4
action 7.4
land 7.4
freedom 7.3
horizon 7.2
rural 7
autumn 7
area 7
scenic 7

Google
created on 2022-02-05

Tire 97.5
Wheel 96.6
Vehicle 93.4
Car 92.5
Automotive tire 92.2
Motor vehicle 92.1
Tree 90
Automotive lighting 89.7
Automotive design 89
Orange 88.3
Plant 87.2
Kit car 86.4
Sky 86.3
Asphalt 86.2
Racing 80.8
Grass 80.3
Rolling 80.3
Automotive exterior 79.7
Motorsport 79.2
Automotive wheel system 77.7

Microsoft
created on 2022-02-05

outdoor 97
text 95.7
land vehicle 87.8
vehicle 87.5
wheel 68.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 30-40
Gender Male, 98%
Calm 80.7%
Happy 5.4%
Sad 3%
Confused 2.7%
Angry 2.7%
Surprised 2.5%
Disgusted 2%
Fear 1.1%

AWS Rekognition

Age 18-24
Gender Female, 87.9%
Happy 58.4%
Calm 32.2%
Surprised 2.6%
Sad 2.2%
Angry 2%
Disgusted 0.9%
Fear 0.9%
Confused 0.7%

AWS Rekognition

Age 1-7
Gender Male, 68.4%
Calm 50.5%
Disgusted 20.7%
Happy 7.4%
Confused 6.8%
Angry 6.2%
Fear 4.1%
Sad 2.8%
Surprised 1.5%

AWS Rekognition

Age 14-22
Gender Male, 99.7%
Happy 39.9%
Disgusted 16.6%
Calm 15.6%
Sad 14.3%
Angry 5.9%
Confused 3%
Surprised 2.5%
Fear 2.2%

AWS Rekognition

Age 18-26
Gender Female, 94.4%
Calm 57.6%
Happy 16.5%
Surprised 8.5%
Disgusted 7.5%
Fear 3.2%
Sad 2.5%
Angry 2.2%
Confused 2%

AWS Rekognition

Age 24-34
Gender Female, 78.9%
Calm 86.2%
Angry 4.3%
Confused 2.9%
Sad 2.5%
Surprised 1.7%
Disgusted 1.2%
Happy 0.7%
Fear 0.4%

AWS Rekognition

Age 2-8
Gender Male, 82.9%
Calm 95.8%
Angry 1.3%
Surprised 0.8%
Confused 0.8%
Sad 0.5%
Disgusted 0.3%
Happy 0.3%
Fear 0.2%

AWS Rekognition

Age 6-14
Gender Female, 69.2%
Happy 88.5%
Calm 9.1%
Disgusted 0.9%
Sad 0.5%
Confused 0.3%
Surprised 0.2%
Fear 0.2%
Angry 0.2%

AWS Rekognition

Age 21-29
Gender Male, 85.4%
Calm 96.2%
Angry 1%
Confused 1%
Sad 0.7%
Happy 0.5%
Surprised 0.3%
Disgusted 0.2%
Fear 0.1%

AWS Rekognition

Age 18-26
Gender Male, 93.4%
Calm 96.2%
Surprised 1.1%
Confused 0.9%
Happy 0.5%
Disgusted 0.4%
Angry 0.4%
Sad 0.3%
Fear 0.2%

AWS Rekognition

Age 23-31
Gender Female, 92.6%
Sad 41%
Calm 25.1%
Happy 14.1%
Disgusted 5.8%
Angry 4%
Surprised 3.7%
Fear 3.6%
Confused 2.6%

AWS Rekognition

Age 19-27
Gender Male, 93.9%
Calm 90%
Angry 2.9%
Sad 2.6%
Happy 1.5%
Confused 1.1%
Fear 0.8%
Surprised 0.5%
Disgusted 0.5%

AWS Rekognition

Age 6-14
Gender Male, 93.4%
Surprised 36.3%
Calm 17.9%
Confused 15.9%
Sad 13.6%
Fear 5.1%
Disgusted 4.5%
Angry 3.7%
Happy 3%

AWS Rekognition

Age 23-33
Gender Male, 87.1%
Sad 49.4%
Happy 19.2%
Fear 7.9%
Angry 7%
Calm 6.3%
Disgusted 5.1%
Surprised 3.1%
Confused 2%

AWS Rekognition

Age 10-18
Gender Male, 97.8%
Calm 90.5%
Sad 3.3%
Disgusted 1.4%
Angry 1.3%
Confused 1%
Fear 1%
Happy 0.8%
Surprised 0.6%

AWS Rekognition

Age 23-33
Gender Female, 99.9%
Calm 47.7%
Happy 12.2%
Angry 10.2%
Sad 9.9%
Confused 9.2%
Disgusted 4.4%
Fear 3.5%
Surprised 3%

AWS Rekognition

Age 16-22
Gender Male, 99.4%
Calm 96.2%
Sad 1.9%
Angry 0.6%
Fear 0.4%
Happy 0.3%
Confused 0.3%
Disgusted 0.2%
Surprised 0.2%

AWS Rekognition

Age 16-22
Gender Female, 53.5%
Confused 33.8%
Sad 20.7%
Calm 12.5%
Happy 11.2%
Angry 8.4%
Surprised 5.3%
Fear 4.1%
Disgusted 4%

AWS Rekognition

Age 23-31
Gender Male, 93.9%
Happy 76.3%
Angry 6.9%
Calm 5.4%
Surprised 4.2%
Disgusted 2.2%
Sad 2%
Confused 1.8%
Fear 1.2%

AWS Rekognition

Age 16-22
Gender Female, 82.2%
Calm 66%
Happy 21.2%
Sad 5.8%
Confused 2.4%
Angry 1.5%
Fear 1.2%
Disgusted 1%
Surprised 0.9%

AWS Rekognition

Age 23-31
Gender Male, 99.9%
Calm 71.2%
Sad 8.4%
Angry 6%
Surprised 5.4%
Happy 3.2%
Confused 2.2%
Fear 2.1%
Disgusted 1.6%

AWS Rekognition

Age 18-24
Gender Female, 68.8%
Calm 44%
Angry 26.3%
Sad 13.2%
Happy 6.4%
Disgusted 3.1%
Fear 3.1%
Confused 2.4%
Surprised 1.4%

AWS Rekognition

Age 14-22
Gender Male, 99.7%
Calm 62.5%
Sad 14%
Angry 9.2%
Confused 5.4%
Disgusted 2.6%
Happy 2.4%
Surprised 2.1%
Fear 1.8%

AWS Rekognition

Age 22-30
Gender Male, 94.6%
Calm 76.9%
Sad 7.7%
Happy 7.3%
Confused 2.6%
Angry 2.1%
Fear 1.5%
Disgusted 1.2%
Surprised 0.6%

AWS Rekognition

Age 20-28
Gender Male, 97%
Calm 39.8%
Angry 18.3%
Sad 13.4%
Disgusted 10%
Happy 7.6%
Fear 6.3%
Surprised 2.8%
Confused 1.8%

AWS Rekognition

Age 21-29
Gender Male, 99.6%
Calm 29.5%
Happy 28.3%
Sad 11.6%
Angry 8.1%
Fear 7.9%
Disgusted 6.3%
Confused 4.4%
Surprised 3.8%

AWS Rekognition

Age 22-30
Gender Male, 99.2%
Calm 60%
Happy 26.9%
Sad 4.4%
Angry 3.3%
Confused 1.9%
Surprised 1.7%
Disgusted 1.1%
Fear 0.8%

AWS Rekognition

Age 10-18
Gender Female, 97.1%
Calm 34.6%
Surprised 33.8%
Happy 14.6%
Angry 7%
Sad 3.4%
Confused 3.1%
Disgusted 2%
Fear 1.6%

AWS Rekognition

Age 27-37
Gender Male, 94.4%
Happy 44.1%
Confused 25.9%
Calm 17.2%
Disgusted 3.1%
Sad 3%
Surprised 3%
Angry 2.4%
Fear 1.3%

AWS Rekognition

Age 12-20
Gender Male, 98.1%
Happy 36.3%
Sad 16.4%
Angry 15%
Disgusted 12%
Fear 6%
Calm 6%
Confused 4.8%
Surprised 3.5%

AWS Rekognition

Age 20-28
Gender Female, 60.8%
Disgusted 27.1%
Happy 15.7%
Sad 15.2%
Calm 14%
Confused 8.6%
Fear 7.5%
Angry 6.5%
Surprised 5.3%

AWS Rekognition

Age 28-38
Gender Female, 98.8%
Sad 85.5%
Calm 9.5%
Angry 1.1%
Disgusted 1.1%
Happy 1%
Confused 0.9%
Fear 0.7%
Surprised 0.3%

AWS Rekognition

Age 19-27
Gender Male, 99.3%
Calm 59.5%
Sad 14.4%
Happy 14.2%
Angry 4.9%
Disgusted 2.1%
Fear 1.8%
Surprised 1.7%
Confused 1.4%

Feature analysis

Amazon

Wheel
Car
Person
Motorcycle
Wheel 98.5%
Wheel 89%
Wheel 88.2%
Wheel 87.5%
Wheel 76.4%
Car 96.8%
Person 93%
Person 91.2%
Person 89.4%
Person 85.7%
Person 84.5%
Person 82.5%
Person 76.4%
Person 66.6%
Person 66.6%
Person 64.5%
Person 63.7%
Person 58.2%
Person 54.6%

Text analysis

Amazon

5
ST.GARAGE
EAVING
I
RUSSELL
22
EAVING TOWNE
NAOO
22 ST.GARAGE MAJORY
HOE the RUSSELL
HOE
TOWNE
٤١٢٣
STOPE_YOUR
STOPE_YOUR CAR WITH OF
GOODA
CAR WITH OF
MAJORY
the

Google

ODV 3EI -- .. Co
ODV
3EI
--
..
Co