Machine Generated Data
Tags
Amazon
created on 2019-06-01
Clarifai
created on 2019-06-01
Imagga
created on 2019-06-01
statue | 29.9 | |
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kin | 29.3 | |
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clothing | 23.6 | |
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sculpture | 23.2 | |
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man | 22.2 | |
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old | 20.9 | |
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male | 19.1 | |
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military uniform | 19.1 | |
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person | 18.1 | |
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religion | 17.9 | |
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people | 17.8 | |
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architecture | 17.3 | |
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monument | 16.8 | |
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history | 16.1 | |
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uniform | 15.6 | |
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adult | 14.9 | |
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tourism | 14 | |
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art | 13.8 | |
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covering | 13.6 | |
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travel | 13.4 | |
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city | 13.3 | |
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ancient | 13 | |
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portrait | 12.9 | |
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face | 12.8 | |
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business | 12.7 | |
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stone | 12.6 | |
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god | 12.4 | |
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historical | 11.3 | |
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antique | 11.2 | |
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culture | 11.1 | |
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vintage | 10.9 | |
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indoors | 10.5 | |
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building | 10.4 | |
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black | 10.3 | |
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religious | 10.3 | |
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famous | 10.2 | |
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church | 10.2 | |
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catholic | 10 | |
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figure | 10 | |
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dress | 9.9 | |
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consumer goods | 9.9 | |
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jacket | 9.8 | |
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suit | 9.8 | |
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businessman | 9.7 | |
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one | 9.7 | |
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men | 9.4 | |
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world | 9.4 | |
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historic | 9.2 | |
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office | 9.1 | |
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style | 8.9 | |
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mask | 8.8 | |
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lifestyle | 8.7 | |
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cathedral | 8.6 | |
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fashion | 8.3 | |
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tourist | 8.3 | |
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urban | 7.9 | |
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smile | 7.8 | |
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standing | 7.8 | |
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saint | 7.7 | |
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spirituality | 7.7 | |
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room | 7.6 | |
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dark | 7.5 | |
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human | 7.5 | |
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attendant | 7.4 | |
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alone | 7.3 | |
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indoor | 7.3 | |
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home | 7.2 | |
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handsome | 7.1 | |
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Google
created on 2019-06-01
Photograph | 96.1 | |
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Standing | 94.3 | |
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Snapshot | 84.5 | |
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Uniform | 77.4 | |
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Photography | 62.4 | |
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Black-and-white | 56.4 | |
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Monochrome | 54.4 | |
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Style | 51 | |
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Military person | 50.8 | |
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Microsoft
created on 2019-06-01
person | 99.8 | |
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outdoor | 97.6 | |
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suit | 97.2 | |
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smile | 96.7 | |
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standing | 95 | |
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clothing | 94.5 | |
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posing | 94.1 | |
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black and white | 90.3 | |
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man | 83.3 | |
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people | 81.4 | |
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wedding dress | 61 | |
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coat | 58.2 | |
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human face | 54 | |
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dress | 53.4 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 35-52 |
Gender | Male, 99.6% |
Angry | 20.5% |
Happy | 5.6% |
Confused | 8.3% |
Calm | 35% |
Disgusted | 18.2% |
Sad | 8.7% |
Surprised | 3.8% |

AWS Rekognition
Age | 49-69 |
Gender | Female, 53.6% |
Angry | 13.3% |
Sad | 7.3% |
Happy | 31.5% |
Confused | 5.2% |
Surprised | 2.3% |
Calm | 39% |
Disgusted | 1.3% |

AWS Rekognition
Age | 60-90 |
Gender | Female, 99.2% |
Disgusted | 2.2% |
Angry | 2.6% |
Confused | 2.8% |
Sad | 4.5% |
Happy | 36.3% |
Calm | 49.7% |
Surprised | 2% |

Microsoft Cognitive Services
Age | 51 |
Gender | Male |

Microsoft Cognitive Services
Age | 71 |
Gender | Female |

Microsoft Cognitive Services
Age | 60 |
Gender | Female |

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

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Likely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 60.2% | |
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paintings art | 35.9% | |
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streetview architecture | 2.9% | |
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