Machine Generated Data
Tags
Amazon
created on 2019-06-04
Person | 99 | |
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Human | 99 | |
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Person | 98.2 | |
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Person | 97.5 | |
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Person | 97 | |
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Text | 96.5 | |
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Person | 96.2 | |
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Person | 93.5 | |
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Person | 91.6 | |
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Person | 86.3 | |
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Person | 80.2 | |
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Person | 76.2 | |
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Person | 75.6 | |
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Page | 75 | |
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Person | 74.2 | |
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Person | 72.3 | |
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Postcard | 70.1 | |
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Envelope | 70.1 | |
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70.1 | ||
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Person | 67.6 | |
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Person | 67.1 | |
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Paper | 66.1 | |
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Person | 65.1 | |
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Person | 62.6 | |
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Advertisement | 61.3 | |
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Person | 59 | |
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Poster | 57.8 | |
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Person | 42.4 | |
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Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
sketch | 100 | |
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drawing | 100 | |
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representation | 75.2 | |
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grunge | 28.9 | |
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paper | 25.1 | |
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vintage | 22.3 | |
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texture | 20.8 | |
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old | 19.5 | |
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antique | 19.2 | |
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retro | 18.8 | |
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design | 17.4 | |
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architecture | 16.4 | |
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frame | 15 | |
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business | 14.6 | |
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art | 14.3 | |
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aged | 13.6 | |
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border | 13.6 | |
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structure | 13.1 | |
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pattern | 13 | |
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construction | 12.8 | |
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dirty | 12.7 | |
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city | 12.5 | |
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plan | 12.3 | |
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ancient | 12.1 | |
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office | 12 | |
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finance | 11 | |
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sky | 10.8 | |
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house | 10 | |
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paint | 10 | |
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wall | 9.9 | |
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black | 9.6 | |
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building | 9.5 | |
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grungy | 9.5 | |
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symbol | 9.4 | |
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money | 9.4 | |
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graphic | 8.8 | |
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parchment | 8.6 | |
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diagram | 8.6 | |
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damaged | 8.6 | |
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engineering | 8.6 | |
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old fashioned | 8.6 | |
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travel | 8.4 | |
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silhouette | 8.3 | |
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rough | 8.2 | |
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industrial | 8.2 | |
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decoration | 8.2 | |
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brown | 8.1 | |
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lines | 8.1 | |
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currency | 8.1 | |
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material | 8 | |
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urban | 7.9 | |
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blueprint | 7.8 | |
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color | 7.8 | |
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architect | 7.7 | |
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ink | 7.7 | |
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card | 7.7 | |
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dirt | 7.6 | |
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bill | 7.6 | |
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cash | 7.3 | |
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backgrounds | 7.3 | |
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digital | 7.3 | |
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sunset | 7.2 | |
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history | 7.2 | |
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Google
created on 2019-06-04
Photograph | 94.8 | |
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Text | 94.3 | |
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Snapshot | 82.5 | |
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Room | 74.4 | |
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Art | 70.9 | |
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Paper | 65.5 | |
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Paper product | 65.2 | |
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Visual arts | 62.5 | |
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Collection | 60.8 | |
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Illustration | 57.7 | |
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History | 54.1 | |
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Microsoft
created on 2019-06-04
person | 91.3 | |
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clothing | 71.5 | |
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handwriting | 70.9 | |
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envelope | 46.4 | |
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different | 37.9 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 9-14 |
Gender | Male, 50.2% |
Sad | 50.5% |
Happy | 49.5% |
Disgusted | 49.5% |
Calm | 49.5% |
Angry | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.2% |
Calm | 49.5% |
Surprised | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |
Sad | 50.5% |
Happy | 49.5% |
Angry | 49.5% |

AWS Rekognition
Age | 6-13 |
Gender | Female, 50.4% |
Disgusted | 49.5% |
Surprised | 49.6% |
Confused | 49.5% |
Sad | 49.7% |
Angry | 49.6% |
Calm | 49.6% |
Happy | 50% |

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

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Disgusted | 49.5% |
Calm | 50.1% |
Surprised | 49.5% |
Sad | 49.7% |
Confused | 49.5% |
Angry | 49.6% |
Happy | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.2% |
Disgusted | 49.5% |
Confused | 49.5% |
Angry | 49.5% |
Sad | 50.3% |
Surprised | 49.5% |
Happy | 49.5% |
Calm | 49.6% |

AWS Rekognition
Age | 4-9 |
Gender | Female, 50.2% |
Disgusted | 49.5% |
Calm | 49.6% |
Angry | 49.6% |
Sad | 49.8% |
Happy | 49.7% |
Surprised | 49.6% |
Confused | 49.6% |

AWS Rekognition
Age | 10-15 |
Gender | Female, 50.4% |
Sad | 50.3% |
Confused | 49.5% |
Calm | 49.6% |
Disgusted | 49.5% |
Happy | 49.5% |
Angry | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 15-25 |
Gender | Male, 50% |
Sad | 50.3% |
Disgusted | 49.5% |
Surprised | 49.5% |
Angry | 49.5% |
Happy | 49.5% |
Calm | 49.6% |
Confused | 49.5% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 50% |
Calm | 49.5% |
Disgusted | 49.5% |
Angry | 49.6% |
Sad | 50.3% |
Happy | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 50.2% |
Sad | 50.5% |
Angry | 49.5% |
Calm | 49.5% |
Happy | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.2% |
Sad | 49.8% |
Angry | 49.6% |
Calm | 50% |
Confused | 49.5% |
Happy | 49.5% |
Surprised | 49.5% |
Disgusted | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.3% |
Angry | 49.5% |
Happy | 49.5% |
Disgusted | 49.5% |
Sad | 50.5% |
Confused | 49.5% |
Calm | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 19-36 |
Gender | Male, 50.2% |
Disgusted | 49.7% |
Confused | 49.6% |
Angry | 49.7% |
Calm | 49.7% |
Surprised | 49.6% |
Happy | 49.6% |
Sad | 49.7% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.3% |
Happy | 49.6% |
Disgusted | 49.5% |
Sad | 50.2% |
Confused | 49.5% |
Angry | 49.5% |
Surprised | 49.5% |
Calm | 49.6% |

AWS Rekognition
Age | 29-45 |
Gender | Male, 50.1% |
Sad | 50.3% |
Disgusted | 49.5% |
Angry | 49.5% |
Surprised | 49.5% |
Calm | 49.6% |
Confused | 49.5% |
Happy | 49.5% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 50.3% |
Surprised | 49.5% |
Calm | 49.8% |
Happy | 49.6% |
Sad | 49.9% |
Angry | 49.5% |
Confused | 49.6% |
Disgusted | 49.5% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 50.3% |
Angry | 49.6% |
Disgusted | 49.6% |
Confused | 49.6% |
Calm | 49.8% |
Happy | 49.6% |
Surprised | 49.6% |
Sad | 49.8% |
Feature analysis
Categories
Imagga
paintings art | 75.1% | |
| ||
text visuals | 24% | |
|
Captions
Microsoft
created on 2019-06-04
a display in a store | 25.6% | |
|
Text analysis
Amazon

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