Machine Generated Data
Tags
Amazon
created on 2020-04-24
Person | 98.7 | |
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Human | 98.7 | |
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Person | 98.4 | |
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Person | 97.5 | |
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Vehicle | 96.9 | |
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Ship | 96.9 | |
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Military | 96.9 | |
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Cruiser | 96.9 | |
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Navy | 96.9 | |
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Transportation | 96.9 | |
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Boat | 95.6 | |
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Person | 94.1 | |
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Person | 90.7 | |
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Art | 87.6 | |
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Boat | 87.6 | |
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Nature | 84.2 | |
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Person | 83.5 | |
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Person | 83 | |
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Person | 77.2 | |
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Person | 76.3 | |
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Waterfront | 76 | |
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Water | 76 | |
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Vessel | 68.3 | |
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Watercraft | 68.3 | |
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Boat | 66.6 | |
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Person | 66.4 | |
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Smoke | 64 | |
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Port | 63.9 | |
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Pier | 63.9 | |
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Dock | 63.9 | |
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Outdoors | 62.4 | |
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Person | 60.6 | |
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Painting | 58.5 | |
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Person | 53.3 | |
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Clarifai
created on 2020-04-24
Imagga
created on 2020-04-24
Google
created on 2020-04-24
Clipper | 87.7 | |
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Vehicle | 85.6 | |
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East indiaman | 83.5 | |
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Sailing ship | 82.9 | |
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Boat | 80.4 | |
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Tall ship | 79.7 | |
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Frigate | 79.3 | |
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Steam frigate | 78.9 | |
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Ship of the line | 78.1 | |
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Watercraft | 77.3 | |
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Galiot | 76.7 | |
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Ship | 73.2 | |
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Flagship | 71.3 | |
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Fluyt | 69 | |
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Galleon | 66.6 | |
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Mast | 66.3 | |
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First-rate | 62.2 | |
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Galeas | 56.2 | |
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Full-rigged ship | 55.8 | |
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Manila galleon | 55.5 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 30-46 |
Gender | Male, 50.5% |
Surprised | 49.5% |
Sad | 49.5% |
Happy | 49.5% |
Calm | 50.4% |
Angry | 49.5% |
Fear | 49.5% |
Confused | 49.5% |
Disgusted | 49.5% |

AWS Rekognition
Age | 50-68 |
Gender | Male, 50.3% |
Happy | 49.5% |
Surprised | 49.5% |
Sad | 50.4% |
Calm | 49.5% |
Fear | 49.5% |
Angry | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 45-63 |
Gender | Female, 50.2% |
Fear | 49.5% |
Surprised | 49.6% |
Disgusted | 49.5% |
Calm | 49.5% |
Sad | 49.6% |
Angry | 49.5% |
Happy | 49.6% |
Confused | 50.2% |
Feature analysis
Captions
Microsoft
a vintage photo of a group of people on a boat | 67.3% | |
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a vintage photo of a group of people in a boat | 67.2% | |
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a vintage photo of a boat | 67.1% | |
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