Machine Generated Data
Tags
Amazon
created on 2019-11-16
Person | 99.6 | |
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Human | 99.6 | |
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Couch | 98.5 | |
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Furniture | 98.5 | |
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Person | 98.3 | |
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Person | 97.6 | |
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Accessories | 97.4 | |
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Tie | 97.4 | |
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Accessory | 97.4 | |
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Clothing | 95.2 | |
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Apparel | 95.2 | |
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People | 92 | |
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Overcoat | 82.3 | |
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Coat | 82.3 | |
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Suit | 82.3 | |
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Family | 80.7 | |
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Person | 69.5 | |
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Portrait | 63.5 | |
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Photo | 63.5 | |
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Photography | 63.5 | |
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Face | 63.5 | |
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Shorts | 62.5 | |
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Sitting | 60.1 | |
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Finger | 58.6 | |
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Kid | 57.2 | |
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Child | 57.2 | |
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Female | 56.5 | |
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Tuxedo | 55.9 | |
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Clarifai
created on 2019-11-16
Imagga
created on 2019-11-16
man | 32.9 | |
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person | 31.5 | |
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male | 27.7 | |
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people | 26.8 | |
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black | 21.2 | |
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adult | 18.4 | |
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world | 17.5 | |
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dark | 16.7 | |
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couple | 15.7 | |
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portrait | 15.5 | |
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human | 15 | |
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love | 14.2 | |
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suit | 14 | |
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attractive | 13.3 | |
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one | 12.7 | |
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kin | 12.4 | |
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lifestyle | 12.3 | |
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performer | 12.1 | |
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sexy | 12 | |
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men | 11.2 | |
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planner | 10.9 | |
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clothing | 10.8 | |
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silhouette | 10.8 | |
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fashion | 10.5 | |
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boy | 10.4 | |
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style | 10.4 | |
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model | 10.1 | |
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romantic | 9.8 | |
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body | 9.6 | |
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happy | 9.4 | |
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business | 9.1 | |
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pose | 9.1 | |
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comedian | 9 | |
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posing | 8.9 | |
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hair | 8.7 | |
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guy | 8.6 | |
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sitting | 8.6 | |
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tie | 8.5 | |
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youth | 8.5 | |
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relax | 8.4 | |
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room | 8.2 | |
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group | 8.1 | |
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office | 8 | |
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family | 8 | |
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night | 8 | |
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smiling | 8 | |
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brass | 8 | |
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women | 7.9 | |
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together | 7.9 | |
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happiness | 7.8 | |
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face | 7.8 | |
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pretty | 7.7 | |
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two | 7.6 | |
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hand | 7.6 | |
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passion | 7.5 | |
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relationship | 7.5 | |
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dress | 7.2 | |
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home | 7.2 | |
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mask | 7.2 | |
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modern | 7 | |
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Google
created on 2019-11-16
Photograph | 95.8 | |
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People | 93.4 | |
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Photographic paper | 84.3 | |
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Snapshot | 83.3 | |
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Picture frame | 80.3 | |
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Black-and-white | 78.1 | |
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Photography | 74.8 | |
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Family | 67.2 | |
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Room | 65.7 | |
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Stock photography | 64 | |
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Gentleman | 61.7 | |
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Monochrome | 60.1 | |
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Style | 52.5 | |
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Art | 50.2 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 1-7 |
Gender | Female, 98.3% |
Angry | 3.3% |
Surprised | 1% |
Disgusted | 1% |
Confused | 1.7% |
Fear | 0.7% |
Calm | 65.4% |
Happy | 21.6% |
Sad | 5.3% |

AWS Rekognition
Age | 39-57 |
Gender | Male, 98.4% |
Surprised | 0.2% |
Calm | 5% |
Fear | 0.1% |
Disgusted | 0.3% |
Happy | 93.7% |
Angry | 0.1% |
Sad | 0.3% |
Confused | 0.2% |

AWS Rekognition
Age | 33-49 |
Gender | Female, 97.5% |
Angry | 1.2% |
Sad | 1.4% |
Confused | 1.6% |
Surprised | 1% |
Happy | 2.5% |
Disgusted | 0.5% |
Calm | 91.6% |
Fear | 0.2% |

AWS Rekognition
Age | 8-18 |
Gender | Male, 65.7% |
Fear | 7.1% |
Angry | 1.7% |
Calm | 36.3% |
Surprised | 0.7% |
Happy | 1.3% |
Confused | 0.7% |
Sad | 52.1% |
Disgusted | 0.1% |

Microsoft Cognitive Services
Age | 56 |
Gender | Male |

Microsoft Cognitive Services
Age | 46 |
Gender | Female |

Microsoft Cognitive Services
Age | 9 |
Gender | Male |

Microsoft Cognitive Services
Age | 4 |
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 unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 94% | |
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events parties | 3.2% | |
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paintings art | 1.7% | |
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Captions
Microsoft
created on 2019-11-16
Annie Besant et al. posing for a photo | 89.1% | |
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Annie Besant and woman posing for a photo | 74.2% | |
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Annie Besant et al. posing for the camera | 74.1% | |
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Text analysis

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