Machine Generated Data
Tags
Amazon
created on 2019-05-29
Transportation | 99.3 | |
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Locomotive | 99.3 | |
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Vehicle | 99.3 | |
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Machine | 93.7 | |
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Engine | 90.6 | |
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Motor | 90.6 | |
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Rail | 89.9 | |
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Railway | 89.9 | |
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Train Track | 89.9 | |
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Steam Engine | 88.1 | |
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Train | 83.2 | |
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Smoke | 82.9 | |
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Spoke | 55.6 | |
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Clarifai
created on 2019-05-29
vehicle | 99.3 | |
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people | 99.2 | |
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transportation system | 97.7 | |
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railway | 97.4 | |
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train | 97.2 | |
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smoke | 93.3 | |
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adult | 92.3 | |
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group together | 92.2 | |
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engine | 88.5 | |
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group | 87.2 | |
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military | 86.4 | |
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war | 86.1 | |
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condensation | 83.6 | |
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soldier | 82.5 | |
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one | 80.5 | |
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two | 80.1 | |
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military vehicle | 75.9 | |
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watercraft | 75.9 | |
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man | 74.9 | |
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aircraft | 74.4 | |
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Imagga
created on 2019-05-29
Google
created on 2019-05-29
Motor vehicle | 90.1 | |
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Transport | 88.5 | |
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Vehicle | 85.2 | |
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Smoke | 80.3 | |
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Car | 72 | |
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Photography | 62.4 | |
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Steam | 55.3 | |
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Microsoft
created on 2019-05-29
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 10-15 |
Gender | Male, 54.2% |
Happy | 4.4% |
Disgusted | 5.7% |
Surprised | 4.2% |
Confused | 11% |
Sad | 48.7% |
Angry | 6.8% |
Calm | 19.2% |
Feature analysis
Amazon
Train | 83.2% | |
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