Human Generated Data

Title

Bus depot. Qom

Date

1979

People

Artist: Gilles Peress, French born 1946

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Schneider/Erdman Printer's Proof Collection, partial gift, and partial purchase through the Margaret Fisher Fund, 2011.400

Copyright

© Gilles Peress/Magnum Photos

Human Generated Data

Title

Bus depot. Qom

People

Artist: Gilles Peress, French born 1946

Date

1979

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2019-04-08

Human 99.8
Person 99.8
Person 99.6
Person 99.5
Person 99.5
Person 99.4
Person 98.7
Person 92.8
Transportation 90.9
Van 90.9
Vehicle 90.9
Train 76.5
Caravan 76.2
Bus 70.5
Machine 56.5
Spoke 56.5

Clarifai
created on 2018-02-09

people 98.8
vehicle 98.6
street 94.9
man 94.6
transportation system 94
group together 93.7
no person 93.5
adult 93.1
woman 92.9
group 92
travel 91
winter 90.5
monochrome 89.7
outdoors 89.7
many 87.4
police 87.3
child 86.6
road 85.8
water 85.5
landscape 85

Imagga
created on 2018-02-09

car 60.2
vehicle 51.2
truck 44
transportation 39.5
transport 32.9
bus 31.6
minibus 27.2
conveyance 22.7
automobile 21.1
machine 20.5
auto 20.1
road 19.9
tramway 19.7
van 18.4
travel 17.6
industry 17.1
street 15.6
equipment 14.3
driver 12.6
old 12.5
wheel 12.3
passenger 11.6
drive 11.4
sky 10.9
public 10.7
cargo 10.7
highway 10.6
speed 10.1
device 10
industrial 10
city 10
outdoor 9.9
motor 9.8
driving 9.7
metal 9.7
engine 9.6
urban 9.6
traffic 9.5
minivan 9.3
vacation 9
landscape 8.9
machinery 8.8
shipping 8.7
container 8.7
work 8.6
yellow 8.6
heavy 8.6
pump 8.5
mountains 8.3
vintage 8.3
back 8.3
train 7.8
freight 7.8
delivery 7.8
military 7.7
summer 7.7
trailer 7.5
service 7.4
man 7.4
safety 7.4
electric 7.3
people 7.3

Google
created on 2018-02-09

Microsoft
created on 2018-02-09

outdoor 99.7
ground 98.2
transport 94.1
white 66.8
camper 62.1

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 98.9%
Sad 87.9%
Angry 1.9%
Happy 1.3%
Calm 6.5%
Surprised 0.8%
Disgusted 0.7%
Confused 0.9%

AWS Rekognition

Age 17-27
Gender Female, 50.1%
Surprised 45.4%
Angry 45.5%
Sad 48.5%
Calm 48.1%
Disgusted 46.4%
Confused 45.5%
Happy 45.6%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Angry 49.6%
Disgusted 49.5%
Calm 50.2%
Happy 49.6%
Sad 49.6%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Angry 49.6%
Calm 49.7%
Surprised 49.5%
Sad 50.2%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Confused 49.5%
Happy 49.8%
Surprised 49.5%
Angry 49.5%
Sad 50%
Calm 49.6%
Disgusted 49.6%

Feature analysis

Amazon

Person 99.8%
Train 76.5%
Bus 70.5%

Captions

Microsoft

a person standing next to a car 87.3%
a person standing in front of a car 87.2%
a person sitting in a car 75.7%

Text analysis

Amazon

78

Google

1L
1L 78
78