Machine Generated Data
Tags
Amazon
created on 2019-06-04
Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
sculpture | 21 | |
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old | 18.8 | |
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decoration | 15.9 | |
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statue | 15.2 | |
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celebration | 15.1 | |
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art | 14.9 | |
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ancient | 13 | |
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antique | 12.9 | |
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people | 12.8 | |
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dress | 12.6 | |
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religion | 11.6 | |
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traditional | 11.6 | |
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glass | 11.4 | |
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container | 11.3 | |
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wedding | 11 | |
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portrait | 11 | |
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retro | 10.6 | |
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bride | 10.6 | |
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lady | 10.5 | |
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flowers | 10.4 | |
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culture | 10.2 | |
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garlic | 10.2 | |
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tradition | 10.2 | |
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detail | 9.6 | |
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style | 9.6 | |
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black | 9.6 | |
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marriage | 9.5 | |
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water | 9.3 | |
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holiday | 9.3 | |
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head | 9.2 | |
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clean | 9.2 | |
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building | 9.1 | |
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girls | 9.1 | |
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spa | 9 | |
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marble | 8.9 | |
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romantic | 8.9 | |
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hair | 8.7 | |
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women | 8.7 | |
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love | 8.7 | |
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scene | 8.6 | |
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married | 8.6 | |
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architecture | 8.6 | |
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bath | 8.5 | |
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adult | 8.5 | |
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historical | 8.5 | |
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stone | 8.4 | |
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relaxation | 8.4 | |
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vintage | 8.3 | |
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historic | 8.2 | |
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care | 8.2 | |
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vessel | 8.2 | |
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history | 8 | |
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sexy | 8 | |
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interior | 8 | |
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lifestyle | 7.9 | |
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design | 7.9 | |
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wed | 7.9 | |
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bouquet | 7.8 | |
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column | 7.8 | |
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face | 7.8 | |
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model | 7.8 | |
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sepia | 7.8 | |
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travel | 7.7 | |
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party | 7.7 | |
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luxury | 7.7 | |
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pretty | 7.7 | |
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flower | 7.7 | |
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health | 7.6 | |
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fashion | 7.5 | |
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monument | 7.5 | |
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tourism | 7.4 | |
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church | 7.4 | |
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purity | 7.4 | |
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exterior | 7.4 | |
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summer | 7.1 | |
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Google
created on 2019-06-04
Photograph | 95.4 | |
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People | 93.1 | |
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Snapshot | 86.4 | |
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Vintage clothing | 69.4 | |
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Room | 65.7 | |
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Stock photography | 64 | |
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Photography | 62.4 | |
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Child | 61.3 | |
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Monochrome | 60.1 | |
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Family | 56.9 | |
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Black-and-white | 56.4 | |
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Antique | 50.3 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 4-7 |
Gender | Female, 75% |
Confused | 0.5% |
Angry | 0.8% |
Happy | 0.1% |
Sad | 96.3% |
Disgusted | 0.3% |
Surprised | 0.3% |
Calm | 1.7% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 66.2% |
Surprised | 4.4% |
Angry | 30% |
Happy | 3.3% |
Sad | 37.3% |
Calm | 10.1% |
Confused | 9.8% |
Disgusted | 5.1% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 96.8% |
Disgusted | 0.6% |
Surprised | 1.7% |
Confused | 2.2% |
Sad | 79.9% |
Angry | 7% |
Calm | 6.8% |
Happy | 1.7% |

AWS Rekognition
Age | 6-13 |
Gender | Female, 88.3% |
Surprised | 2.3% |
Confused | 1.3% |
Angry | 2.5% |
Disgusted | 1% |
Sad | 39.3% |
Happy | 1.3% |
Calm | 52.3% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 61% |
Disgusted | 80.2% |
Happy | 0.6% |
Confused | 1.5% |
Sad | 1.5% |
Angry | 4.8% |
Surprised | 1% |
Calm | 10.4% |

AWS Rekognition
Age | 45-63 |
Gender | Male, 53.8% |
Calm | 53.4% |
Angry | 45.5% |
Happy | 45% |
Sad | 45.2% |
Disgusted | 45.5% |
Confused | 45.1% |
Surprised | 45.2% |

Microsoft Cognitive Services
Age | 30 |
Gender | Female |

Microsoft Cognitive Services
Age | 3 |
Gender | Female |

Microsoft Cognitive Services
Age | 28 |
Gender | Female |

Microsoft Cognitive Services
Age | 24 |
Gender | Female |

Microsoft Cognitive Services
Age | 18 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Unlikely |
Joy | Very unlikely |
Headwear | Unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 96.1% | |
| ||
paintings art | 2.3% | |
|
Captions
Microsoft
created on 2019-06-04
a group of people posing for a photo | 93.2% | |
| ||
a group of people posing for a picture | 93.1% | |
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a group of people posing for the camera | 93% | |
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Text analysis

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