Machine Generated Data
Tags
Amazon
created on 2019-06-01
Clarifai
created on 2019-06-01
Imagga
created on 2019-06-01
altar | 73 | |
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structure | 57.1 | |
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architecture | 35.1 | |
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glass | 32.1 | |
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building | 26.2 | |
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religion | 23.3 | |
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landmark | 22.6 | |
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church | 21.3 | |
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old | 20.9 | |
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history | 20.6 | |
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city | 19.9 | |
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art | 17.8 | |
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monument | 17.7 | |
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god | 17.2 | |
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fountain | 16.9 | |
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famous | 16.7 | |
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cathedral | 16.3 | |
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marble | 16.2 | |
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house | 15.9 | |
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sculpture | 15.8 | |
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ancient | 15.6 | |
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window | 15.6 | |
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sketch | 15.5 | |
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culture | 15.4 | |
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historic | 14.7 | |
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drawing | 13.9 | |
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travel | 13.4 | |
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historical | 13.2 | |
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column | 12.8 | |
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baroque | 12.7 | |
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water | 12.7 | |
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tourism | 12.4 | |
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decoration | 12.3 | |
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stone | 11.8 | |
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balcony | 11.5 | |
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interior | 11.5 | |
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religious | 11.2 | |
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tourist | 10.9 | |
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statue | 10.6 | |
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exterior | 10.1 | |
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holy | 9.6 | |
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faith | 9.6 | |
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people | 9.5 | |
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symbol | 9.4 | |
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place | 9.3 | |
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ornate | 9.1 | |
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representation | 9.1 | |
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facade | 9.1 | |
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gold | 9 | |
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home | 8.8 | |
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arch | 8.7 | |
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light | 8.7 | |
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table | 8.7 | |
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attraction | 8.6 | |
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case | 8.5 | |
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design | 8.4 | |
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traditional | 8.3 | |
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urban | 7.9 | |
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flowers | 7.8 | |
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education | 7.8 | |
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scene | 7.8 | |
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catholic | 7.8 | |
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dome | 7.7 | |
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chair | 7.6 | |
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inside | 7.4 | |
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antique | 7.3 | |
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indoors | 7 | |
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Google
created on 2019-06-01
Photograph | 96.6 | |
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White | 96.3 | |
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Room | 74.4 | |
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Child | 57.3 | |
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Black-and-white | 56.4 | |
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Family | 53.7 | |
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Tableware | 50.4 | |
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Microsoft
created on 2019-06-01
white | 65.8 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 26-43 |
Gender | Female, 52.7% |
Angry | 45.3% |
Surprised | 45.5% |
Disgusted | 45.5% |
Sad | 45.8% |
Calm | 50.8% |
Happy | 45.4% |
Confused | 46.7% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50% |
Surprised | 49.6% |
Calm | 49.9% |
Disgusted | 49.5% |
Confused | 49.6% |
Sad | 49.9% |
Happy | 49.5% |
Angry | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 53.2% |
Happy | 45.3% |
Calm | 45.9% |
Angry | 45.4% |
Confused | 45.2% |
Surprised | 45.2% |
Sad | 52.6% |
Disgusted | 45.4% |

AWS Rekognition
Age | 17-27 |
Gender | Male, 50.1% |
Confused | 49.5% |
Surprised | 49.6% |
Calm | 50.1% |
Sad | 49.5% |
Happy | 49.6% |
Disgusted | 49.6% |
Angry | 49.6% |

AWS Rekognition
Age | 38-59 |
Gender | Female, 50.4% |
Confused | 49.5% |
Surprised | 49.5% |
Sad | 49.8% |
Angry | 49.6% |
Happy | 49.7% |
Calm | 49.6% |
Disgusted | 49.8% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 50.3% |
Confused | 49.7% |
Disgusted | 49.5% |
Happy | 49.7% |
Surprised | 49.6% |
Calm | 49.8% |
Sad | 49.6% |
Angry | 49.6% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 52.3% |
Angry | 45.6% |
Confused | 45.3% |
Surprised | 45.4% |
Happy | 46.4% |
Sad | 47.2% |
Calm | 49.6% |
Disgusted | 45.4% |

AWS Rekognition
Age | 11-18 |
Gender | Female, 50.4% |
Happy | 49.7% |
Confused | 49.5% |
Angry | 49.6% |
Sad | 49.7% |
Calm | 49.9% |
Surprised | 49.5% |
Disgusted | 49.5% |
Feature analysis
Categories
Imagga
interior objects | 99.9% | |
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Captions
Microsoft
created on 2019-06-01
a black and white photo of a person | 51.2% | |
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a black and white photo of a store | 51.1% | |
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a black and white photo of a person | 50.5% | |
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