Machine Generated Data
Tags
Amazon
created on 2019-06-01
Human | 98.7 | |
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Person | 98.7 | |
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Person | 97.9 | |
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Clothing | 97.8 | |
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Apparel | 97.8 | |
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Person | 97.8 | |
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Person | 96.1 | |
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People | 93.5 | |
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Person | 92.5 | |
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Person | 92.5 | |
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Person | 91.8 | |
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Person | 86.8 | |
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Person | 86 | |
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Person | 85.8 | |
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Person | 85.8 | |
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Person | 81.4 | |
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Female | 76.6 | |
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Face | 67.9 | |
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Shorts | 63.2 | |
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Crowd | 58.9 | |
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Photography | 58.1 | |
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Photo | 58.1 | |
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Coat | 56.5 | |
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Overcoat | 56.5 | |
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Suit | 56.5 | |
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Woman | 55.8 | |
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Dress | 55.1 | |
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Clarifai
created on 2019-06-01
Imagga
created on 2019-06-01
negative | 42.6 | |
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film | 33.1 | |
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photographic paper | 24.9 | |
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art | 21.7 | |
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photographic equipment | 16.6 | |
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people | 15.6 | |
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decoration | 13.4 | |
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man | 12.6 | |
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old | 12.5 | |
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portrait | 12.3 | |
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black | 12 | |
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grunge | 11.9 | |
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male | 11.4 | |
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person | 11.2 | |
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dance | 10.5 | |
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fun | 10.5 | |
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creation | 10.2 | |
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water | 10 | |
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traditional | 10 | |
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kin | 9.9 | |
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history | 9.8 | |
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adult | 9.8 | |
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outdoors | 9.7 | |
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love | 9.5 | |
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motion | 9.4 | |
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face | 9.2 | |
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outdoor | 9.2 | |
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vintage | 9.1 | |
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antique | 8.8 | |
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statue | 8.8 | |
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run | 8.7 | |
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scene | 8.6 | |
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ancient | 8.6 | |
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culture | 8.5 | |
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tree | 8.5 | |
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design | 8.4 | |
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decorative | 8.3 | |
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drawing | 8.3 | |
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city | 8.3 | |
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life | 8.2 | |
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retro | 8.2 | |
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dress | 8.1 | |
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detail | 8 | |
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celebration | 8 | |
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bride | 7.9 | |
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couple | 7.8 | |
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happiness | 7.8 | |
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color | 7.8 | |
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travel | 7.7 | |
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men | 7.7 | |
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head | 7.6 | |
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sport | 7.5 | |
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historical | 7.5 | |
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happy | 7.5 | |
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silhouette | 7.4 | |
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close | 7.4 | |
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speed | 7.3 | |
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group | 7.2 | |
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paint | 7.2 | |
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aged | 7.2 | |
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world | 7.2 | |
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holiday | 7.2 | |
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women | 7.1 | |
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cool | 7.1 | |
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summer | 7.1 | |
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sculpture | 7 | |
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sky | 7 | |
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Google
created on 2019-06-01
Photograph | 96.6 | |
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Team | 91.5 | |
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Snapshot | 84.3 | |
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Room | 65.7 | |
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Photography | 62.4 | |
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Crew | 60.2 | |
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Black-and-white | 56.4 | |
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Class | 54.5 | |
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Style | 51 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 19-36 |
Gender | Male, 54.2% |
Happy | 45.3% |
Calm | 49.1% |
Angry | 45.2% |
Surprised | 45.2% |
Disgusted | 48.3% |
Confused | 45.2% |
Sad | 46.6% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.5% |
Confused | 45.1% |
Happy | 45.2% |
Calm | 49.2% |
Disgusted | 45.4% |
Sad | 49.5% |
Angry | 45.3% |
Surprised | 45.2% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 54% |
Sad | 46.4% |
Angry | 46.4% |
Disgusted | 49.7% |
Surprised | 45.9% |
Happy | 46% |
Calm | 45.2% |
Confused | 45.4% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 52.2% |
Angry | 45.4% |
Sad | 47.8% |
Disgusted | 46.1% |
Surprised | 45.5% |
Happy | 45.4% |
Calm | 49.5% |
Confused | 45.3% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 52% |
Confused | 45.2% |
Sad | 46.5% |
Calm | 52.5% |
Happy | 45.5% |
Surprised | 45.1% |
Disgusted | 45.1% |
Angry | 45.2% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 53.3% |
Surprised | 45.3% |
Sad | 46.8% |
Angry | 45.4% |
Disgusted | 46% |
Calm | 50.9% |
Happy | 45.3% |
Confused | 45.3% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 51.4% |
Sad | 52.1% |
Surprised | 45.2% |
Disgusted | 45.2% |
Angry | 45.1% |
Calm | 47.1% |
Happy | 45.3% |
Confused | 45.1% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 54.1% |
Confused | 45.5% |
Surprised | 45.7% |
Sad | 47.6% |
Angry | 45.4% |
Happy | 46.2% |
Calm | 49.1% |
Disgusted | 45.4% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 53.4% |
Confused | 45.2% |
Disgusted | 45.8% |
Calm | 46.3% |
Angry | 45.5% |
Sad | 51.6% |
Happy | 45.4% |
Surprised | 45.3% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 52.6% |
Sad | 48.5% |
Confused | 45.6% |
Disgusted | 45.9% |
Surprised | 45.7% |
Angry | 45.7% |
Happy | 46.9% |
Calm | 46.6% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 52% |
Angry | 45.4% |
Sad | 51.9% |
Surprised | 45.3% |
Happy | 45.4% |
Calm | 45.8% |
Disgusted | 45.8% |
Confused | 45.3% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 54.5% |
Surprised | 45.5% |
Confused | 45.3% |
Disgusted | 49.4% |
Happy | 46.6% |
Sad | 45.2% |
Calm | 46.2% |
Angry | 46.8% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 54% |
Happy | 46.1% |
Disgusted | 47.1% |
Angry | 45.6% |
Calm | 48.8% |
Surprised | 45.8% |
Confused | 45.4% |
Sad | 46.2% |
Feature analysis
Categories
Imagga
interior objects | 88.9% | |
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paintings art | 6.9% | |
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food drinks | 3.6% | |
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Captions
Microsoft
created on 2019-06-01
a group of people posing for a photo | 96.5% | |
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an old photo of a group of people posing for the camera | 95.1% | |
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an old photo of a group of people posing for a picture | 95% | |
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