Human Generated Data

Title

Untitled (Branchville, Maryland)

Date

November 1936

People

Artist: Ben Shahn, American 1898 - 1969

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.1924

Copyright

© President and Fellows of Harvard College

Human Generated Data

Title

Untitled (Branchville, Maryland)

People

Artist: Ben Shahn, American 1898 - 1969

Date

November 1936

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.1924

Copyright

© President and Fellows of Harvard College

Machine Generated Data

Tags

Amazon
created on 2023-10-06

Transportation 97.7
Truck 97.7
Vehicle 97.7
Person 97.5
Person 97.5
Machine 96
Wheel 96
Wheel 95.5
Person 95.5
Person 95.4
Wheel 94.2
War 93.9
Wheel 93.2
Wheel 92.9
Wheel 92.7
Car 89.8
Person 89.8
Person 87
Person 87
Wheel 86.4
Person 85
Person 84.1
Person 83.7
Person 83.4
Person 82.4
Person 82.4
Person 82.3
Person 82.1
Person 80.2
Person 80.2
Person 79
Person 78.3
Outdoors 72.8
Person 71
Person 67.4
Person 67.2
Person 65.7
Face 65.6
Head 65.6
Person 62.3
Person 62.2
Nature 60.1
Adventure 56.8
Leisure Activities 56.8
Pickup Truck 56.7
Spoke 56.2
Tire 55.9
Armored 55.9
Half Track 55.9
Military 55.9

Clarifai
created on 2018-05-11

vehicle 100
transportation system 99.3
truck 99.2
car 99
driver 98.4
people 97.7
group together 96.9
group 92.9
war 92.5
military 91.5
military vehicle 91.2
engine 89.9
wheel 85.7
many 84
wagon 83.9
police 83.5
drive 83.2
tank 82.6
tractor 82.5
skirmish 82.1

Imagga
created on 2023-10-06

half track 100
vehicle 100
truck 99.6
military vehicle 84
tracked vehicle 80.7
tow truck 70
wheeled vehicle 58.1
motor vehicle 49
car 38.7
transportation 36.8
transport 32.9
wheel 29.3
auto 25.9
conveyance 25.5
road 25.3
tractor 23.7
machine 22.9
tire 21.8
machinery 21.5
drive 20.8
old 20.2
driving 18.4
farm 17.9
engine 17.3
industrial 17.3
automobile 17.3
wheels 16.6
work 16.5
dirt 16.3
grass 15.8
equipment 15.5
industry 15.4
power 15.1
landscape 14.9
sky 14.7
cargo 14.6
heavy 14.3
rural 14.1
agriculture 14.1
4x4 13.8
lorry 13.8
motor 13.6
outdoor 13
load 11.8
field 11.7
adventure 11.4
speed 11
vintage 10.8
sport 10.7
land 10.1
travel 9.9
farmer 9.8
working 9.7
race 9.6
farming 9.5
construction 9.4
retro 9
summer 9
off road 8.9
tires 8.9
dust 8.8
military 8.7
trailer 8.3
outdoors 8.2
dirty 8.1
job 8
bumper 7.9
carrier 7.9
pickup 7.9
diesel 7.9
antique 7.8
metal 7.3

Google
created on 2018-05-11

Microsoft
created on 2018-05-11

outdoor 99.7
sky 99.3
truck 98.8
transport 85.5
people 65.6
car 16.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 28-38
Gender Male, 99.8%
Sad 85.8%
Calm 19.5%
Happy 12.3%
Angry 11.1%
Confused 8.8%
Surprised 7.8%
Fear 7.2%
Disgusted 3%

AWS Rekognition

Age 18-24
Gender Male, 98.1%
Calm 51.8%
Sad 41%
Angry 19.4%
Surprised 6.5%
Fear 6.3%
Happy 1.2%
Confused 0.9%
Disgusted 0.8%

AWS Rekognition

Age 18-24
Gender Male, 99.4%
Angry 44.6%
Disgusted 33.2%
Calm 8.3%
Fear 7.5%
Surprised 7.3%
Sad 3.7%
Happy 3.6%
Confused 0.6%

AWS Rekognition

Age 21-29
Gender Male, 97.5%
Calm 90.2%
Surprised 6.4%
Fear 6.1%
Sad 3.4%
Happy 3%
Angry 1.7%
Confused 0.6%
Disgusted 0.4%

AWS Rekognition

Age 24-34
Gender Male, 98.8%
Sad 99.9%
Happy 19.2%
Surprised 6.3%
Fear 6%
Angry 0.2%
Calm 0.2%
Disgusted 0.1%
Confused 0%

AWS Rekognition

Age 28-38
Gender Male, 99%
Calm 71.1%
Angry 15.2%
Surprised 7.4%
Fear 6.1%
Happy 4.7%
Sad 4.3%
Disgusted 1%
Confused 0.4%

AWS Rekognition

Age 14-22
Gender Male, 97.3%
Calm 91.9%
Surprised 6.3%
Fear 6.2%
Happy 3.6%
Sad 3%
Angry 0.6%
Confused 0.4%
Disgusted 0.2%

AWS Rekognition

Age 16-22
Gender Male, 90.2%
Sad 54%
Calm 33%
Fear 13.3%
Angry 9.7%
Surprised 7.2%
Disgusted 5.2%
Happy 5%
Confused 4.1%

AWS Rekognition

Age 21-29
Gender Male, 98.9%
Sad 77.2%
Calm 57%
Surprised 6.3%
Fear 6%
Happy 3.3%
Angry 2.7%
Confused 0.9%
Disgusted 0.2%

AWS Rekognition

Age 16-24
Gender Male, 99.9%
Calm 92.9%
Surprised 6.6%
Fear 6.1%
Sad 3%
Angry 1.7%
Disgusted 1.2%
Happy 0.5%
Confused 0.2%

AWS Rekognition

Age 19-27
Gender Male, 93.8%
Calm 88.2%
Surprised 6.9%
Fear 6.2%
Sad 4.7%
Angry 2.5%
Disgusted 0.8%
Confused 0.5%
Happy 0.4%

AWS Rekognition

Age 6-14
Gender Male, 100%
Angry 63.7%
Calm 18.2%
Sad 9.8%
Surprised 6.6%
Fear 6.4%
Happy 4%
Confused 0.6%
Disgusted 0.3%

AWS Rekognition

Age 39-47
Gender Male, 98.4%
Sad 94.2%
Happy 21.4%
Calm 17.6%
Confused 9.2%
Surprised 7%
Fear 6.2%
Angry 2.2%
Disgusted 1.2%

Feature analysis

Amazon

Truck 97.7%
Person 97.5%
Wheel 96%
Car 89.8%

Categories