Machine Generated Data
Tags
Amazon
created on 2019-06-05
Person | 99.6 | |
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Human | 99.6 | |
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Person | 99 | |
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Person | 98.9 | |
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Person | 96.7 | |
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Person | 96.3 | |
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Person | 95.2 | |
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Person | 93.8 | |
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Person | 92.6 | |
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Person | 91.4 | |
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People | 90.3 | |
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Person | 84.5 | |
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Person | 75 | |
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Military | 74.8 | |
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Military Uniform | 74.8 | |
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Musical Instrument | 73.5 | |
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Person | 73.3 | |
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Musician | 72.9 | |
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Person | 71.6 | |
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Person | 71.4 | |
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Person | 66.6 | |
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Soldier | 66.2 | |
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Armored | 62.8 | |
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Army | 62.8 | |
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Fireman | 59.9 | |
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Brass Section | 59.9 | |
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Crowd | 56.6 | |
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Clarifai
created on 2019-06-05
people | 99.9 | |
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group together | 99.6 | |
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adult | 98.2 | |
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group | 97.9 | |
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many | 97.8 | |
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man | 97.1 | |
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military | 96.5 | |
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uniform | 95.6 | |
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soldier | 95.4 | |
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outfit | 94.6 | |
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war | 93.5 | |
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wear | 93.3 | |
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military uniform | 93.1 | |
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several | 93 | |
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music | 91.8 | |
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weapon | 90.5 | |
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administration | 90.4 | |
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vehicle | 82.7 | |
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instrument | 82.7 | |
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gun | 80.2 | |
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Imagga
created on 2019-06-05
graffito | 39.4 | |
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menorah | 38.3 | |
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decoration | 33.2 | |
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sculpture | 31.5 | |
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candelabrum | 30.6 | |
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architecture | 30.4 | |
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statue | 30.3 | |
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candlestick | 25.2 | |
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ancient | 24.2 | |
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art | 23.2 | |
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history | 22.3 | |
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building | 21.6 | |
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old | 20.9 | |
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city | 20.8 | |
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culture | 19.6 | |
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historical | 18.8 | |
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religion | 18.8 | |
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travel | 18.3 | |
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monument | 17.7 | |
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stone | 17 | |
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holder | 16.9 | |
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tourism | 15.7 | |
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temple | 15.6 | |
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landmark | 15.3 | |
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historic | 14.7 | |
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column | 14.6 | |
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god | 13.4 | |
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wall | 12.4 | |
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famous | 12.1 | |
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marble | 12 | |
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religious | 10.3 | |
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structure | 10.3 | |
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exterior | 10.1 | |
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tourist | 10.1 | |
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water | 10 | |
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antique | 9.8 | |
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fountain | 9.7 | |
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figure | 9.6 | |
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artistic | 9.6 | |
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church | 9.2 | |
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man | 8.9 | |
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holding device | 8.8 | |
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grunge | 8.5 | |
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traditional | 8.3 | |
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facade | 8.3 | |
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palace | 7.7 | |
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holy | 7.7 | |
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vintage | 7.4 | |
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light | 7.3 | |
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detail | 7.2 | |
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life | 7 | |
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sky | 7 | |
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Google
created on 2019-06-05
Snapshot | 84.1 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 35-52 |
Gender | Male, 54.2% |
Disgusted | 45.1% |
Surprised | 45.3% |
Sad | 45.9% |
Calm | 51.7% |
Angry | 46.1% |
Happy | 45% |
Confused | 45.8% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 55% |
Happy | 45.4% |
Calm | 45.4% |
Confused | 45.2% |
Angry | 45.6% |
Disgusted | 45.4% |
Sad | 52.9% |
Surprised | 45.2% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.3% |
Angry | 45.1% |
Surprised | 45.1% |
Confused | 45.1% |
Sad | 45.1% |
Disgusted | 45.1% |
Happy | 45% |
Calm | 54.5% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 54.9% |
Surprised | 45.4% |
Confused | 46.3% |
Sad | 47.3% |
Calm | 47.8% |
Disgusted | 46.6% |
Happy | 45.5% |
Angry | 46.1% |

AWS Rekognition
Age | 35-55 |
Gender | Male, 54.9% |
Calm | 48.6% |
Sad | 45.6% |
Confused | 48.6% |
Happy | 45.1% |
Angry | 46.7% |
Disgusted | 45.2% |
Surprised | 45.2% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54% |
Surprised | 45.6% |
Happy | 45.8% |
Confused | 45.3% |
Calm | 47.6% |
Disgusted | 45.3% |
Angry | 47% |
Sad | 48.5% |

AWS Rekognition
Age | 17-27 |
Gender | Male, 52.2% |
Sad | 45% |
Surprised | 45% |
Angry | 45% |
Disgusted | 45% |
Confused | 45% |
Happy | 45% |
Calm | 54.8% |

AWS Rekognition
Age | 35-53 |
Gender | Male, 52% |
Sad | 45% |
Disgusted | 45% |
Confused | 45% |
Surprised | 45% |
Calm | 54.8% |
Happy | 45% |
Angry | 45% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 52.5% |
Angry | 47.9% |
Disgusted | 45.5% |
Sad | 45.9% |
Confused | 45.7% |
Happy | 45.1% |
Surprised | 45.6% |
Calm | 49.3% |

AWS Rekognition
Age | 29-45 |
Gender | Female, 51.7% |
Sad | 45.3% |
Angry | 45.4% |
Calm | 53.6% |
Happy | 45.1% |
Disgusted | 45.3% |
Confused | 45.1% |
Surprised | 45.2% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 53.8% |
Disgusted | 45.1% |
Angry | 45.1% |
Confused | 45.1% |
Surprised | 45.2% |
Calm | 54.3% |
Sad | 45.1% |
Happy | 45% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 52.5% |
Disgusted | 51.2% |
Angry | 45.3% |
Surprised | 45.3% |
Happy | 45.2% |
Sad | 45.1% |
Calm | 47.9% |
Confused | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54% |
Calm | 52.8% |
Sad | 45.5% |
Surprised | 45.3% |
Happy | 45.2% |
Disgusted | 45.2% |
Confused | 45.4% |
Angry | 45.5% |

AWS Rekognition
Age | 27-44 |
Gender | Male, 54.4% |
Angry | 45.3% |
Confused | 45.3% |
Calm | 49.6% |
Sad | 48.5% |
Happy | 45.7% |
Disgusted | 45.4% |
Surprised | 45.3% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.5% |
Confused | 45.3% |
Happy | 46.9% |
Calm | 51.7% |
Sad | 45.2% |
Angry | 45.3% |
Surprised | 45.4% |
Disgusted | 45.2% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 51% |
Calm | 54.6% |
Confused | 45% |
Angry | 45.1% |
Surprised | 45.1% |
Disgusted | 45.1% |
Sad | 45% |
Happy | 45% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.5% |
Sad | 46.2% |
Disgusted | 45.5% |
Surprised | 45.7% |
Happy | 45.3% |
Confused | 45.2% |
Angry | 46.1% |
Calm | 51% |
Feature analysis
Categories
Imagga
paintings art | 96.6% | |
| ||
interior objects | 1.6% | |
| ||
people portraits | 1.3% | |
|
Captions
Microsoft
created on 2019-06-05
a group of people posing for a photo in front of a building | 87.5% | |
| ||
a group of people posing for a photo in front of a brick building | 79.5% | |
| ||
a group of people posing for a photo | 79.4% | |
|
Text analysis
Amazon

BAND

BROOK

WAVERLEY

MASS

1897

BROOK
BAND
WAVERLEY
MASS
1897

BROOK

BAND

1897

WAVERLEY

MASS