Machine Generated Data
Tags
Amazon
created on 2019-06-06
Clarifai
created on 2019-06-06
watercraft | 99.9 | |
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people | 99.8 | |
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vehicle | 99.5 | |
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military | 99.3 | |
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war | 98.8 | |
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warship | 98.7 | |
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ship | 98.2 | |
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group | 98.2 | |
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many | 97.9 | |
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transportation system | 97.5 | |
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aircraft | 96.4 | |
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navy | 95.7 | |
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no person | 95.3 | |
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group together | 95.1 | |
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adult | 94.2 | |
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battleship | 94 | |
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skirmish | 93.9 | |
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man | 93.6 | |
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90.8 | ||
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weapon | 89.9 | |
|
Imagga
created on 2019-06-06
Google
created on 2019-06-06
Motor vehicle | 90.1 | |
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Furniture | 77.7 | |
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Toolroom | 74.8 | |
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Room | 74.4 | |
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Machine tool | 67.1 | |
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Machine | 65 | |
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Table | 63.8 | |
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History | 62.6 | |
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Art | 50.2 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 38-57 |
Gender | Male, 50.6% |
Angry | 45.6% |
Calm | 46% |
Sad | 49.8% |
Surprised | 45.5% |
Disgusted | 45.7% |
Happy | 47% |
Confused | 45.4% |

AWS Rekognition
Age | 35-53 |
Gender | Female, 52.5% |
Sad | 53.2% |
Angry | 45.3% |
Calm | 45.7% |
Confused | 45.1% |
Happy | 45.1% |
Disgusted | 45.3% |
Surprised | 45.2% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 50.5% |
Angry | 50.1% |
Calm | 49.8% |
Confused | 49.5% |
Happy | 49.5% |
Sad | 49.6% |
Disgusted | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 38-57 |
Gender | Male, 50.2% |
Angry | 49.5% |
Calm | 49.5% |
Surprised | 49.5% |
Sad | 50.4% |
Disgusted | 49.5% |
Happy | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.3% |
Confused | 49.5% |
Happy | 49.6% |
Sad | 50% |
Disgusted | 49.6% |
Angry | 49.6% |
Calm | 49.7% |
Surprised | 49.5% |

AWS Rekognition
Age | 4-7 |
Gender | Male, 50.2% |
Surprised | 49.5% |
Happy | 49.5% |
Calm | 49.6% |
Disgusted | 49.9% |
Confused | 49.5% |
Sad | 49.7% |
Angry | 49.6% |

AWS Rekognition
Age | 29-45 |
Gender | Female, 50% |
Sad | 50.3% |
Calm | 49.6% |
Surprised | 49.5% |
Confused | 49.5% |
Disgusted | 49.5% |
Happy | 49.5% |
Angry | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.4% |
Sad | 49.7% |
Angry | 49.6% |
Disgusted | 49.5% |
Surprised | 49.6% |
Happy | 50% |
Calm | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 50.4% |
Confused | 49.5% |
Angry | 49.5% |
Disgusted | 49.6% |
Calm | 50.1% |
Happy | 49.5% |
Surprised | 49.5% |
Sad | 49.6% |

AWS Rekognition
Age | 45-65 |
Gender | Male, 50.2% |
Calm | 49.8% |
Surprised | 49.6% |
Happy | 49.6% |
Angry | 49.6% |
Confused | 49.5% |
Sad | 49.8% |
Disgusted | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Happy | 49.6% |
Sad | 49.6% |
Disgusted | 49.7% |
Calm | 49.8% |
Surprised | 49.6% |
Confused | 49.5% |
Angry | 49.6% |
Feature analysis
Categories
Imagga
streetview architecture | 59.9% | |
| ||
text visuals | 28% | |
| ||
paintings art | 6.2% | |
| ||
nature landscape | 1.7% | |
| ||
beaches seaside | 1.6% | |
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cars vehicles | 1.6% | |
|
Captions
Microsoft
created on 2019-06-06
an old photo of a person | 38.6% | |
|
Text analysis
Amazon

Batteries

des

AUTOMATIC

n:ouler

AUTOMATIC MOULDING MACHINE

MACHINE

MOULDING

I:'une des Batteries de macliine a n:ouler

de

a

I:'une

macliine

L'une des Batteries de machne à mouler
AUTOMATIC MOULDING MACHINE

L'une

des

Batteries

de

machne

à

mouler

AUTOMATIC

MOULDING

MACHINE