Machine Generated Data
Tags
Amazon
created on 2019-05-29
Train | 98.6 | |
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Vehicle | 98.6 | |
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Transportation | 98.6 | |
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Train Track | 98.5 | |
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Railway | 98.5 | |
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Rail | 98.5 | |
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Wheel | 92.4 | |
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Machine | 92.4 | |
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Locomotive | 87 | |
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Motor | 80.9 | |
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Engine | 80.9 | |
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Person | 63.3 | |
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Human | 63.3 | |
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Shipping Container | 59.9 | |
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City | 59.9 | |
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Building | 59.9 | |
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Town | 59.9 | |
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Metropolis | 59.9 | |
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Urban | 59.9 | |
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Airplane | 59.8 | |
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Airliner | 59.8 | |
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Aircraft | 59.8 | |
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Steam Engine | 59.6 | |
|
Clarifai
created on 2019-05-29
Imagga
created on 2019-05-29
Google
created on 2019-05-29
Transport | 97.8 | |
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Locomotive | 92.8 | |
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Railway | 92.4 | |
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Vehicle | 91.4 | |
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Train | 88 | |
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Mode of transport | 85.9 | |
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Rolling stock | 84 | |
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Railroad car | 74.6 | |
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Track | 63.4 | |
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Rolling | 54.6 | |
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Color Analysis
Feature analysis
Categories
Imagga
cars vehicles | 98.8% | |
|
Captions
Microsoft
created on 2019-05-29
a black and white photo of a truck | 87.3% | |
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a vintage photo of a truck | 87.2% | |
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an old black and white photo of a truck | 84.5% | |
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Text analysis
Amazon

331V832

YA0OT

Y33A2

3W

OMA

Y33A2 33I73A89 3W

80S

331V832 3V1 OMA

JU33RA2

33I73A89

3V1

YA0OT JU33RA2 38

F

38