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, 4.2002.16032.1

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 2022-02-11

Vehicle 99.8
Transportation 99.8
Kart 99.8
Wheel 97.6
Machine 97.6
Human 97.4
Person 97.4
Person 97.1
Person 96.7
Motorcycle 96.2
Wheel 92.4
Person 89.7
Person 88.8
Person 88.5
Helmet 85.4
Clothing 85.4
Apparel 85.4
Person 81
Person 79.2
Wheel 77.4
Buggy 71.3
Person 67.7
Wheel 67.3
Motorcycle 64.9
Wheel 63.6
Motorcycle 63.2
Helmet 61.7
Helmet 60.3
Person 60.3
Motorcycle 57.4
Wheel 55
Person 50.9
Person 47.7
Person 44.3

Imagga
created on 2022-02-11

tricycle 45.1
wheeled vehicle 43.1
vehicle 40.3
landscape 31.2
tree 22.7
rural 22
conveyance 20.4
field 20.1
sky 20
country 19.3
forest 19.1
grass 19
park 17.4
land 16.7
farm 16.1
area 15.9
resort area 15.6
road 15.4
outdoors 15.2
trees 15.1
scene 14.7
old 14.6
countryside 14.6
autumn 14.1
tractor 13.9
mountain 13.4
outdoor 13
summer 12.9
travel 12.7
people 12.3
tool 12.2
scenery 11.7
season 11.7
man 11.4
agriculture 11.4
winter 11.1
snow 11
sunset 10.8
machine 10.4
region 10.3
wood 10
fall 9.9
yellow 9.9
wheelchair 9.9
environment 9.9
earth 9.8
natural 9.4
plow 9.2
sand 9
equipment 8.8
machinery 8.8
farmland 8.7
light 8.7
ground 8.7
cold 8.6
industry 8.5
path 8.5
sunrise 8.4
vacation 8.2
brown 8.1
activity 8.1
work 8
scenic 7.9
wild 7.8
male 7.8
agricultural 7.8
orange 7.7
sport 7.7
woods 7.6
person 7.6
farming 7.6
wheel 7.5
mountains 7.4
water 7.3
speed 7.3
peace 7.3
chair 7.2
bright 7.1
location 7.1

Google
created on 2022-02-11

Tire 98.1
Wheel 95.4
Vehicle 95
Sky 95
Automotive tire 92.2
Plant 91.4
Motor vehicle 88.9
Tree 88.1
Asphalt 86.2
Automotive design 84.8
Rectangle 84.1
Grass 81.8
Tints and shades 77.4
Motorsport 77
Racing 76.5
Beauty 74.9
Landscape 74
Travel 72.1
Road 70.5
Auto racing 69.4

Microsoft
created on 2022-02-11

text 98
outdoor 97.7
ground 95.1
tree 83.5
person 82.8
land vehicle 79.4
vehicle 78.1
wheel 66.6

Face analysis

Amazon

Google

AWS Rekognition

Age 12-20
Gender Male, 97.2%
Happy 45.1%
Calm 42.4%
Sad 2.9%
Surprised 2.4%
Disgusted 2.1%
Confused 1.9%
Angry 1.7%
Fear 1.5%

AWS Rekognition

Age 2-10
Gender Male, 99.9%
Calm 99.9%
Happy 0%
Sad 0%
Angry 0%
Disgusted 0%
Surprised 0%
Confused 0%
Fear 0%

AWS Rekognition

Age 22-30
Gender Male, 99.4%
Calm 71.6%
Surprised 10.3%
Happy 5.3%
Sad 5.2%
Disgusted 4%
Angry 1.8%
Fear 1.2%
Confused 0.7%

AWS Rekognition

Age 18-26
Gender Male, 83.5%
Calm 90.5%
Happy 4.8%
Surprised 3.3%
Disgusted 0.4%
Sad 0.4%
Angry 0.3%
Confused 0.2%
Fear 0.1%

AWS Rekognition

Age 34-42
Gender Male, 85.4%
Calm 92.3%
Sad 6.3%
Angry 0.4%
Disgusted 0.4%
Happy 0.3%
Surprised 0.2%
Confused 0.1%
Fear 0.1%

AWS Rekognition

Age 18-24
Gender Male, 94.1%
Calm 31.6%
Sad 23.2%
Confused 18.5%
Disgusted 9.9%
Happy 8.7%
Angry 3.4%
Fear 2.5%
Surprised 2%

AWS Rekognition

Age 13-21
Gender Female, 80.4%
Calm 71.3%
Happy 23.5%
Angry 1.3%
Fear 0.9%
Surprised 0.9%
Disgusted 0.9%
Sad 0.7%
Confused 0.4%

AWS Rekognition

Age 16-24
Gender Female, 77.7%
Calm 99.3%
Sad 0.3%
Happy 0.2%
Confused 0.1%
Angry 0.1%
Disgusted 0%
Surprised 0%
Fear 0%

AWS Rekognition

Age 36-44
Gender Female, 59.9%
Calm 91.5%
Sad 5%
Angry 1.1%
Fear 0.7%
Surprised 0.6%
Happy 0.5%
Confused 0.4%
Disgusted 0.2%

AWS Rekognition

Age 29-39
Gender Male, 97.5%
Calm 89%
Sad 5.1%
Happy 2.1%
Confused 1%
Angry 0.9%
Surprised 0.8%
Disgusted 0.7%
Fear 0.4%

AWS Rekognition

Age 25-35
Gender Male, 99.4%
Calm 87.2%
Sad 6.3%
Angry 2.2%
Disgusted 1.4%
Fear 1.2%
Happy 1%
Confused 0.4%
Surprised 0.3%

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 Very unlikely
Blurred Very unlikely

Google Vision

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

Google Vision

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

Feature analysis

Amazon

Wheel 97.6%
Person 97.4%
Motorcycle 96.2%
Helmet 85.4%

Captions

Microsoft

a group of people riding on the back of a motorcycle 52.1%
a group of people riding a motorcycle down a dirt road 52%
a group of people on a motorcycle 51.9%

Text analysis

Amazon

ELA
RAGON
ONL ELA
MJIR
ONL
УТЗЧАС
KAMANA

Google

KARAALAA KODYK
KARAALAA
KODYK