Machine Generated Data
Tags
Amazon
created on 2019-11-16
Person | 99.4 | |
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Human | 99.4 | |
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Person | 99.3 | |
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Person | 99 | |
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Pedestrian | 98.9 | |
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Person | 98.8 | |
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Person | 97.9 | |
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Person | 96.9 | |
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Person | 96.4 | |
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Person | 96.4 | |
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Person | 94.4 | |
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Person | 92.3 | |
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Person | 91 | |
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Person | 88.3 | |
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Person | 88.1 | |
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Person | 87.6 | |
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Transportation | 86.6 | |
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Vehicle | 86.5 | |
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Person | 86.2 | |
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People | 85.4 | |
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Train | 85.3 | |
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Person | 82 | |
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Asphalt | 81.9 | |
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Tarmac | 81.9 | |
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Person | 81.1 | |
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Crowd | 80.7 | |
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Person | 80.7 | |
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Person | 78.6 | |
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Person | 76.2 | |
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Person | 74.7 | |
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Person | 72.4 | |
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Person | 69.9 | |
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Road | 69.5 | |
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Terminal | 68 | |
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Train Station | 68 | |
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Person | 62.4 | |
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Railway | 59.1 | |
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Train Track | 59.1 | |
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Rail | 59.1 | |
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Funeral | 59 | |
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Building | 56.5 | |
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Person | 51.5 | |
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Person | 48.6 | |
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Clarifai
created on 2019-11-16
people | 99.9 | |
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vehicle | 99.7 | |
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group together | 99.6 | |
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transportation system | 98.9 | |
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adult | 98.8 | |
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group | 98.7 | |
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watercraft | 98.2 | |
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man | 96 | |
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military | 95.7 | |
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many | 95.4 | |
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aircraft | 94.9 | |
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one | 94.2 | |
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wear | 92.5 | |
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woman | 92.4 | |
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child | 91.3 | |
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recreation | 91.2 | |
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war | 91.1 | |
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several | 90.4 | |
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two | 90.4 | |
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four | 90 | |
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Imagga
created on 2019-11-16
passenger | 46.1 | |
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vehicle | 35.3 | |
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cockpit | 29.4 | |
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transportation | 27.8 | |
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locomotive | 23.8 | |
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transport | 21 | |
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power | 18.5 | |
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steam | 17.5 | |
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car | 17.4 | |
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old | 17.4 | |
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landscape | 17.1 | |
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industry | 16.2 | |
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smoke | 15.8 | |
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train | 15.5 | |
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travel | 14.8 | |
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railway | 14.7 | |
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industrial | 14.5 | |
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wheel | 14.1 | |
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vintage | 14.1 | |
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steam locomotive | 14.1 | |
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sky | 14 | |
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railroad | 13.7 | |
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black | 13.2 | |
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track | 13 | |
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machine | 12.9 | |
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road | 12.6 | |
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engine | 12.5 | |
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wheeled vehicle | 11.5 | |
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automobile | 11.5 | |
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metal | 11.3 | |
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outdoors | 11.2 | |
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danger | 10.9 | |
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water | 10.7 | |
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truck | 10.6 | |
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steel | 10.6 | |
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coal | 8.9 | |
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building | 8.7 | |
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military | 8.7 | |
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war | 8.7 | |
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field | 8.4 | |
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rural | 7.9 | |
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television | 7.9 | |
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ship | 7.9 | |
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rail | 7.8 | |
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factory | 7.8 | |
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antique | 7.8 | |
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cloud | 7.7 | |
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outside | 7.7 | |
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construction | 7.7 | |
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pollution | 7.7 | |
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auto | 7.7 | |
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tractor | 7.5 | |
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lake | 7.3 | |
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sunset | 7.2 | |
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weapon | 7.2 | |
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summer | 7.1 | |
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Google
created on 2019-11-16
Photograph | 95.5 | |
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Monochrome | 88.1 | |
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Snapshot | 87 | |
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Black-and-white | 86.3 | |
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Mode of transport | 80.8 | |
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Photography | 78.8 | |
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Vehicle | 67.5 | |
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Monochrome photography | 64.7 | |
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Style | 51 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 28-44 |
Gender | Female, 50% |
Surprised | 49.6% |
Disgusted | 49.5% |
Happy | 49.5% |
Sad | 49.5% |
Calm | 49.5% |
Confused | 49.6% |
Fear | 50.3% |
Angry | 49.5% |

AWS Rekognition
Age | 27-43 |
Gender | Female, 50% |
Happy | 49.5% |
Sad | 49.6% |
Disgusted | 49.6% |
Fear | 49.6% |
Calm | 49.7% |
Angry | 49.6% |
Confused | 49.8% |
Surprised | 49.6% |

AWS Rekognition
Age | 3-11 |
Gender | Male, 50.4% |
Angry | 49.5% |
Happy | 49.5% |
Fear | 49.6% |
Disgusted | 49.5% |
Sad | 49.8% |
Calm | 50.1% |
Surprised | 49.6% |
Confused | 49.5% |

AWS Rekognition
Age | 18-30 |
Gender | Male, 50.4% |
Calm | 49.6% |
Disgusted | 49.5% |
Sad | 50% |
Happy | 49.5% |
Angry | 49.7% |
Fear | 49.6% |
Surprised | 49.5% |
Confused | 49.6% |

AWS Rekognition
Age | 23-37 |
Gender | Female, 50.3% |
Calm | 49.7% |
Surprised | 49.5% |
Disgusted | 49.5% |
Happy | 49.6% |
Angry | 49.6% |
Confused | 49.6% |
Sad | 49.8% |
Fear | 49.5% |

AWS Rekognition
Age | 30-46 |
Gender | Female, 50% |
Surprised | 49.6% |
Sad | 49.8% |
Confused | 49.5% |
Happy | 49.8% |
Disgusted | 49.5% |
Fear | 49.6% |
Angry | 49.5% |
Calm | 49.7% |

AWS Rekognition
Age | 12-22 |
Gender | Male, 50.4% |
Calm | 49.6% |
Sad | 49.5% |
Fear | 49.5% |
Disgusted | 49.5% |
Confused | 50.4% |
Surprised | 49.5% |
Happy | 49.5% |
Angry | 49.5% |

AWS Rekognition
Age | 21-33 |
Gender | Male, 50.4% |
Disgusted | 49.5% |
Happy | 49.6% |
Angry | 50.1% |
Fear | 49.5% |
Calm | 49.5% |
Confused | 49.6% |
Surprised | 49.5% |
Sad | 49.7% |

AWS Rekognition
Age | 23-35 |
Gender | Male, 50.3% |
Sad | 49.5% |
Surprised | 49.6% |
Confused | 49.5% |
Angry | 49.5% |
Calm | 50.3% |
Fear | 49.5% |
Happy | 49.5% |
Disgusted | 49.5% |
Feature analysis
Amazon
Person

Person | 99.4% | |
|

Person | 99.3% | |
|

Person | 99% | |
|

Person | 98.8% | |
|

Person | 97.9% | |
|

Person | 96.9% | |
|

Person | 96.4% | |
|

Person | 96.4% | |
|

Person | 94.4% | |
|

Person | 92.3% | |
|

Person | 91% | |
|

Person | 88.3% | |
|

Person | 88.1% | |
|

Person | 87.6% | |
|

Person | 86.2% | |
|

Person | 82% | |
|

Person | 81.1% | |
|

Person | 80.7% | |
|

Person | 78.6% | |
|

Person | 76.2% | |
|

Person | 74.7% | |
|

Person | 72.4% | |
|

Person | 69.9% | |
|

Person | 62.4% | |
|

Person | 51.5% | |
|

Person | 48.6% | |
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Categories
Imagga
nature landscape | 33% | |
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pets animals | 28.3% | |
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cars vehicles | 17.7% | |
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paintings art | 10.2% | |
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streetview architecture | 4% | |
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food drinks | 2.2% | |
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events parties | 1.5% | |
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interior objects | 1.5% | |
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Captions
Microsoft
created on 2019-11-16
a group of people standing next to a train | 92.2% | |
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a group of people standing around a bus | 85.6% | |
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a group of people sitting at a train station | 83.5% | |
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Text analysis
Amazon

Shuyle

Th am

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