Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
street | 22.1 | |
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kin | 20.8 | |
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building | 19.3 | |
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musical instrument | 19.2 | |
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city | 19.1 | |
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people | 19 | |
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wind instrument | 18.2 | |
| ||
man | 16.8 | |
| ||
male | 16.3 | |
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old | 15.3 | |
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person | 15.1 | |
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architecture | 14.1 | |
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brass | 13.7 | |
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adult | 12.3 | |
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clothing | 12.1 | |
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portrait | 11.6 | |
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urban | 11.4 | |
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stone | 11 | |
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dirty | 10.8 | |
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uniform | 10.5 | |
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tourism | 9.9 | |
| ||
military | 9.7 | |
| ||
statue | 9.5 | |
| ||
women | 9.5 | |
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wall | 9.4 | |
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weapon | 9.2 | |
| ||
travel | 9.1 | |
| ||
history | 8.9 | |
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military uniform | 8.7 | |
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tourist | 8.5 | |
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accordion | 8.4 | |
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monument | 8.4 | |
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sax | 8.3 | |
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landmark | 8.1 | |
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device | 8 | |
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soldier | 7.8 | |
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boy | 7.8 | |
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scene | 7.8 | |
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war | 7.8 | |
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youth | 7.7 | |
| ||
sculpture | 7.6 | |
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house | 7.6 | |
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world | 7.5 | |
| ||
dark | 7.5 | |
| ||
human | 7.5 | |
| ||
holding | 7.4 | |
| ||
historic | 7.3 | |
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danger | 7.3 | |
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brick | 7.1 | |
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posing | 7.1 | |
|
Google
created on 2019-06-05
People | 97.3 | |
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Photograph | 96.1 | |
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Snapshot | 86 | |
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Standing | 81.9 | |
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Family | 74.2 | |
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Vintage clothing | 72.9 | |
| ||
House | 68.3 | |
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Child | 57.3 | |
| ||
Classic | 56.7 | |
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History | 54.1 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 4-9 |
Gender | Male, 76.9% |
Disgusted | 2.7% |
Confused | 11.6% |
Angry | 7.7% |
Happy | 7.5% |
Calm | 30.8% |
Surprised | 6.9% |
Sad | 32.8% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 75.1% |
Calm | 17.2% |
Sad | 42.8% |
Happy | 13.6% |
Angry | 7.7% |
Disgusted | 10% |
Confused | 3.9% |
Surprised | 4.7% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 96.5% |
Happy | 37.7% |
Angry | 10.2% |
Disgusted | 5.4% |
Confused | 5.7% |
Sad | 15.9% |
Calm | 23.6% |
Surprised | 1.3% |

AWS Rekognition
Age | 9-14 |
Gender | Male, 76.1% |
Surprised | 2.4% |
Happy | 6.6% |
Sad | 41.7% |
Calm | 38.7% |
Confused | 2.7% |
Disgusted | 0.8% |
Angry | 7.1% |

AWS Rekognition
Age | 10-15 |
Gender | Female, 77.4% |
Calm | 6.7% |
Surprised | 3.1% |
Disgusted | 11.2% |
Confused | 15.8% |
Happy | 14.5% |
Angry | 6.4% |
Sad | 42.5% |

AWS Rekognition
Age | 30-47 |
Gender | Male, 64.7% |
Calm | 25.3% |
Angry | 4.1% |
Confused | 2.2% |
Sad | 57.2% |
Happy | 1.3% |
Disgusted | 8.9% |
Surprised | 1% |

AWS Rekognition
Age | 57-77 |
Gender | Female, 77.8% |
Surprised | 0.6% |
Happy | 1.8% |
Sad | 71.1% |
Calm | 0.6% |
Confused | 1% |
Disgusted | 21.8% |
Angry | 3.1% |

Microsoft Cognitive Services
Age | 50 |
Gender | Male |

Microsoft Cognitive Services
Age | 48 |
Gender | Male |

Microsoft Cognitive Services
Age | 15 |
Gender | Male |

Microsoft Cognitive Services
Age | 17 |
Gender | Male |

Microsoft Cognitive Services
Age | 25 |
Gender | Female |

Microsoft Cognitive Services
Age | 2 |
Gender | Male |

Microsoft Cognitive Services
Age | 31 |
Gender | Female |

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 | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | 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 | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 99.2% | |
|
Captions
Microsoft
created on 2019-06-05
Text analysis
Amazon

SO