Machine Generated Data
Tags
Amazon
created on 2022-01-23
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-23
kin | 35 | |
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person | 30 | |
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people | 27.3 | |
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man | 26.9 | |
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portrait | 24.6 | |
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male | 24.1 | |
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hat | 21.1 | |
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adult | 19.6 | |
| ||
couple | 18.3 | |
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love | 17.3 | |
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dress | 17.1 | |
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happy | 16.9 | |
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ballplayer | 15.8 | |
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player | 14.9 | |
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face | 14.2 | |
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happiness | 14.1 | |
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men | 13.7 | |
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attractive | 13.3 | |
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black | 13.2 | |
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athlete | 13 | |
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clothing | 12.7 | |
| ||
romantic | 12.5 | |
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smile | 12.1 | |
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two | 11.8 | |
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world | 11.8 | |
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religion | 11.6 | |
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married | 11.5 | |
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costume | 11.4 | |
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look | 11.4 | |
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ruler | 10.8 | |
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handsome | 10.7 | |
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family | 10.7 | |
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statue | 10.6 | |
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fashion | 10.5 | |
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bride | 10.5 | |
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contestant | 10.4 | |
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old | 10.4 | |
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uniform | 9.6 | |
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culture | 9.4 | |
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tradition | 9.2 | |
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wedding | 9.2 | |
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traditional | 9.1 | |
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father | 9.1 | |
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child | 9.1 | |
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sculpture | 9 | |
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romance | 8.9 | |
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lady | 8.9 | |
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new | 8.9 | |
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interior | 8.8 | |
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sexy | 8.8 | |
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celebration | 8.8 | |
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husband | 8.7 | |
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boy | 8.7 | |
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lifestyle | 8.7 | |
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sitting | 8.6 | |
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pair | 8.5 | |
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pretty | 8.4 | |
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human | 8.2 | |
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indoor | 8.2 | |
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style | 8.1 | |
| ||
mother | 8.1 | |
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guy | 8.1 | |
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home | 8 | |
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smiling | 7.9 | |
| ||
dad | 7.9 | |
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prayer | 7.7 | |
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wall | 7.7 | |
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youth | 7.7 | |
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worker | 7.6 | |
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art | 7.6 | |
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hand | 7.6 | |
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wife | 7.6 | |
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senior | 7.5 | |
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religious | 7.5 | |
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pose | 7.2 | |
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success | 7.2 | |
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decoration | 7.2 | |
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looking | 7.2 | |
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team | 7.2 | |
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grandfather | 7.1 | |
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businessman | 7.1 | |
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architecture | 7 | |
|
Google
created on 2022-01-23
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 13-21 |
Gender | Female, 99.7% |
Calm | 72.5% |
Sad | 20.8% |
Disgusted | 1.6% |
Surprised | 1.6% |
Confused | 1.5% |
Fear | 0.8% |
Angry | 0.7% |
Happy | 0.4% |

AWS Rekognition
Age | 39-47 |
Gender | Male, 99.6% |
Calm | 87.7% |
Sad | 7.9% |
Confused | 1.1% |
Surprised | 0.8% |
Angry | 0.7% |
Disgusted | 0.6% |
Fear | 0.6% |
Happy | 0.5% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 99.9% |
Calm | 61.2% |
Surprised | 16% |
Fear | 6.8% |
Angry | 4.6% |
Disgusted | 4% |
Sad | 2.7% |
Happy | 2.6% |
Confused | 2.2% |

AWS Rekognition
Age | 45-51 |
Gender | Male, 100% |
Calm | 68.6% |
Sad | 20.3% |
Happy | 2.7% |
Disgusted | 2.1% |
Angry | 2% |
Confused | 1.5% |
Surprised | 1.3% |
Fear | 1.3% |

Microsoft Cognitive Services
Age | 45 |
Gender | Male |

Microsoft Cognitive Services
Age | 39 |
Gender | Male |

Microsoft Cognitive Services
Age | 48 |
Gender | Male |

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Likely |
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 | Likely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 79.5% | |
| ||
paintings art | 19.7% | |
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