Machine Generated Data
Tags
Amazon
created on 2022-01-09
Clarifai
created on 2023-10-25
Imagga
created on 2022-01-09
person | 23 | |
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old | 20.9 | |
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man | 20.8 | |
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people | 19.5 | |
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dress | 19 | |
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adult | 18.8 | |
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religion | 17.9 | |
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statue | 16.3 | |
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male | 15.6 | |
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religious | 15 | |
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portrait | 14.9 | |
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clothing | 14.5 | |
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fashion | 14.3 | |
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vintage | 14.1 | |
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art | 14.1 | |
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style | 13.3 | |
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faith | 12.4 | |
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couple | 12.2 | |
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face | 12.1 | |
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catholic | 11.7 | |
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god | 11.5 | |
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sculpture | 11.3 | |
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culture | 11.1 | |
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mother | 11 | |
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costume | 10.9 | |
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traditional | 10.8 | |
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nurse | 10.7 | |
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ancient | 10.4 | |
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home | 10.4 | |
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love | 10.3 | |
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church | 10.2 | |
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happy | 10 | |
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history | 9.8 | |
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pretty | 9.8 | |
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attractive | 9.8 | |
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posing | 9.8 | |
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lady | 9.7 | |
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black | 9.7 | |
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coat | 9.7 | |
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antique | 9.7 | |
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holy | 9.6 | |
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saint | 9.6 | |
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kimono | 9.5 | |
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hair | 9.5 | |
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monument | 9.3 | |
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teacher | 9.2 | |
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elegance | 9.2 | |
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child | 9 | |
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uniform | 8.7 | |
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happiness | 8.6 | |
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men | 8.6 | |
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garment | 8.6 | |
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two | 8.5 | |
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indoor | 8.2 | |
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groom | 8.1 | |
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decoration | 8 | |
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celebration | 8 | |
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standing | 7.8 | |
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cathedral | 7.7 | |
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senior | 7.5 | |
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historic | 7.3 | |
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makeup | 7.3 | |
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robe | 7.3 | |
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make | 7.3 | |
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pose | 7.2 | |
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detail | 7.2 | |
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hat | 7.2 | |
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color | 7.2 | |
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sexy | 7.2 | |
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professional | 7.2 | |
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kin | 7.2 | |
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romantic | 7.1 | |
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family | 7.1 | |
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women | 7.1 | |
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interior | 7.1 | |
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Google
created on 2022-01-09
Hat | 84.2 | |
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Classic | 74.1 | |
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Vintage clothing | 71.9 | |
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Art | 68.8 | |
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Sitting | 68.3 | |
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Event | 65 | |
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History | 62.5 | |
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Retro style | 56.8 | |
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Recreation | 56 | |
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Family | 53.6 | |
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Room | 53.4 | |
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Painting | 52.7 | |
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Microsoft
created on 2022-01-09
person | 99.8 | |
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clothing | 98.8 | |
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wall | 95.4 | |
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text | 89.5 | |
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old | 86.3 | |
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photograph | 78.3 | |
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vintage clothing | 71.9 | |
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people | 71 | |
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white | 69.7 | |
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black | 68.9 | |
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woman | 68.4 | |
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retro style | 60.5 | |
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man | 50.2 | |
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posing | 47.1 | |
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vintage | 40 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 29-39 |
Gender | Male, 99.7% |
Calm | 88.5% |
Confused | 3.4% |
Fear | 3.1% |
Surprised | 2.3% |
Sad | 0.9% |
Disgusted | 0.8% |
Angry | 0.6% |
Happy | 0.4% |

AWS Rekognition
Age | 31-41 |
Gender | Male, 100% |
Calm | 97.5% |
Confused | 1.2% |
Sad | 0.4% |
Angry | 0.4% |
Happy | 0.2% |
Disgusted | 0.1% |
Surprised | 0.1% |
Fear | 0.1% |

Microsoft Cognitive Services
Age | 38 |
Gender | Male |

Microsoft Cognitive Services
Age | 32 |
Gender | Male |

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 | Possible |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 82.1% | |
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events parties | 12% | |
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paintings art | 2.1% | |
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food drinks | 1.3% | |
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interior objects | 1.2% | |
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