Machine Generated Data
Tags
Amazon
created on 2019-05-29
Vehicle | 99.8 | |
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Boat | 99.8 | |
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Transportation | 99.8 | |
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Person | 99.1 | |
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Human | 99.1 | |
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Person | 97.7 | |
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Person | 97.7 | |
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Person | 97.2 | |
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Person | 96.9 | |
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Person | 96.7 | |
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Person | 96.7 | |
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Person | 96.7 | |
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Person | 96.5 | |
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Water | 96.3 | |
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Waterfront | 95.3 | |
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Person | 94.8 | |
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Person | 94.7 | |
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Person | 94.4 | |
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Person | 94 | |
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Person | 91.9 | |
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Person | 89.6 | |
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Port | 88.6 | |
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Pier | 88.6 | |
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Dock | 88.6 | |
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Person | 88.1 | |
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Person | 88 | |
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Person | 86.6 | |
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Person | 82.4 | |
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Ship | 78.5 | |
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Military | 73.8 | |
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Person | 72.5 | |
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Watercraft | 72.2 | |
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Vessel | 72.2 | |
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Ferry | 71.4 | |
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Navy | 67.7 | |
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Cruiser | 67.7 | |
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Barge | 60.2 | |
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Clarifai
created on 2019-05-29
watercraft | 99.9 | |
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people | 99.9 | |
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group together | 99.7 | |
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vehicle | 99.6 | |
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many | 99.4 | |
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group | 98.8 | |
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adult | 97.7 | |
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transportation system | 97.7 | |
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warship | 96 | |
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military | 95.7 | |
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water | 91.6 | |
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man | 91.6 | |
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sea | 89.7 | |
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ship | 89.4 | |
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navy | 87 | |
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cargo ship | 86.7 | |
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crowd | 86.7 | |
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war | 84.1 | |
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cruise ship | 82.4 | |
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seashore | 82.2 | |
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Imagga
created on 2019-05-29
Google
created on 2019-05-29
Vehicle | 82.4 | |
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Watercraft | 75.9 | |
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Boat | 75 | |
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Black-and-white | 74.4 | |
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Photography | 73.8 | |
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Ship | 72.6 | |
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Ferry | 63.7 | |
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Stock photography | 59.4 | |
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Monochrome photography | 57.8 | |
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Ocean liner | 54.4 | |
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Style | 51 | |
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Microsoft
created on 2019-05-29
water | 99.9 | |
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ship | 99.7 | |
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boat | 97.7 | |
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watercraft | 97 | |
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black and white | 94.5 | |
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outdoor | 94.1 | |
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vehicle | 91.3 | |
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lake | 64.9 | |
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people | 58 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 26-43 |
Gender | Female, 50% |
Calm | 49.6% |
Sad | 49.6% |
Angry | 49.7% |
Confused | 49.5% |
Disgusted | 49.9% |
Surprised | 49.6% |
Happy | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.5% |
Angry | 49.6% |
Disgusted | 49.6% |
Surprised | 49.5% |
Confused | 49.5% |
Happy | 49.6% |
Sad | 50% |
Calm | 49.7% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.4% |
Angry | 49.5% |
Calm | 49.6% |
Surprised | 49.5% |
Happy | 49.6% |
Sad | 50.1% |
Confused | 49.5% |
Disgusted | 49.5% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.1% |
Happy | 49.5% |
Confused | 49.6% |
Calm | 49.5% |
Angry | 49.8% |
Sad | 49.9% |
Disgusted | 49.7% |
Surprised | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Sad | 49.7% |
Disgusted | 49.8% |
Surprised | 49.6% |
Calm | 49.6% |
Angry | 49.6% |
Confused | 49.6% |
Happy | 49.7% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.4% |
Happy | 49.5% |
Confused | 49.5% |
Angry | 49.6% |
Calm | 49.7% |
Disgusted | 49.5% |
Sad | 50% |
Surprised | 49.6% |

AWS Rekognition
Age | 14-23 |
Gender | Female, 50.4% |
Angry | 49.6% |
Sad | 49.8% |
Surprised | 49.6% |
Confused | 49.5% |
Happy | 49.7% |
Calm | 49.7% |
Disgusted | 49.6% |

AWS Rekognition
Age | 17-27 |
Gender | Male, 50.5% |
Disgusted | 49.5% |
Happy | 49.5% |
Angry | 49.5% |
Calm | 50.2% |
Sad | 49.7% |
Confused | 49.6% |
Surprised | 49.5% |

AWS Rekognition
Age | 30-47 |
Gender | Female, 50.2% |
Angry | 49.7% |
Confused | 49.6% |
Happy | 49.6% |
Calm | 49.6% |
Surprised | 49.6% |
Sad | 49.7% |
Disgusted | 49.8% |
Feature analysis
Categories
Imagga
beaches seaside | 93.6% | |
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nature landscape | 5.5% | |
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Captions
Microsoft
created on 2019-05-29
a group of people in a boat on a body of water | 94.1% | |
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a group of people on a boat in a body of water | 93.7% | |
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a group of people on a boat in a large body of water | 93.4% | |
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