Machine Generated Data
Tags
Amazon
created on 2019-06-01
Person | 98.2 | |
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Human | 98.2 | |
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Person | 97.2 | |
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Person | 97 | |
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Person | 95.3 | |
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Person | 95 | |
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Person | 94.8 | |
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Person | 94.1 | |
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Person | 91.8 | |
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Person | 90.6 | |
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Duel | 89.3 | |
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Crowd | 87.8 | |
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Person | 87.5 | |
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Clothing | 84.3 | |
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Apparel | 84.3 | |
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Helmet | 84.3 | |
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Person | 83.4 | |
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Musician | 82.9 | |
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Musical Instrument | 82.9 | |
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Person | 81.8 | |
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Person | 78.7 | |
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Music Band | 77.2 | |
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Person | 71.9 | |
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Marching | 71.5 | |
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Person | 70.6 | |
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Leisure Activities | 68.6 | |
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People | 65.9 | |
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Art | 59.2 | |
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Drawing | 59.2 | |
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Costume | 57.6 | |
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Clarifai
created on 2019-06-01
Imagga
created on 2019-06-01
brass | 37.4 | |
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glass | 34.8 | |
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wind instrument | 29.8 | |
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medical | 25.6 | |
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science | 24.9 | |
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biology | 24.6 | |
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laboratory | 21.2 | |
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research | 20.9 | |
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chemistry | 20.3 | |
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medicine | 20.2 | |
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musical instrument | 19.7 | |
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chemical | 19.4 | |
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black | 19.2 | |
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experiment | 18.5 | |
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cornet | 17.8 | |
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lab | 17.5 | |
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beaker | 15.6 | |
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container | 14.9 | |
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biotechnology | 14.7 | |
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glassware | 14.7 | |
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test | 14.4 | |
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liquid | 13.9 | |
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equipment | 13.9 | |
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perfume | 13.8 | |
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scientific | 13.5 | |
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flask | 12.8 | |
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transparent | 12.5 | |
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health | 12.5 | |
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development | 12.3 | |
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human | 12 | |
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man | 10.8 | |
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vase | 10.6 | |
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technology | 10.4 | |
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wine | 10.3 | |
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pawn | 10 | |
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trombone | 9.7 | |
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toiletry | 9.6 | |
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people | 9.5 | |
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3d | 9.3 | |
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glasses | 9.2 | |
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male | 9.2 | |
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chess | 8.8 | |
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film | 8.8 | |
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scientist | 8.8 | |
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negative | 8.7 | |
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symbol | 8.7 | |
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pharmacy | 8.7 | |
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decoration | 8.7 | |
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water | 8.7 | |
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education | 8.6 | |
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men | 8.6 | |
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wineglass | 8.5 | |
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competition | 8.2 | |
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closeup | 8.1 | |
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graphic | 8 | |
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business | 7.9 | |
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alcohol | 7.7 | |
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hand | 7.7 | |
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strategy | 7.7 | |
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anatomy | 7.7 | |
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tube | 7.7 | |
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jar | 7.7 | |
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aqua | 7.6 | |
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instrument | 7.4 | |
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object | 7.3 | |
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person | 7.3 | |
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vessel | 7.2 | |
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bottle | 7.2 | |
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celebration | 7.2 | |
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shiny | 7.1 | |
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Google
created on 2019-06-01
Team | 95.8 | |
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Photograph | 95.7 | |
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Crew | 70 | |
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Stick and Ball Games | 54.3 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 26-43 |
Gender | Female, 53% |
Confused | 45.5% |
Happy | 49.7% |
Calm | 45.7% |
Disgusted | 45.6% |
Sad | 46.6% |
Angry | 45.8% |
Surprised | 46% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 51.7% |
Disgusted | 45.2% |
Calm | 45.2% |
Confused | 45.2% |
Sad | 45.2% |
Surprised | 45.2% |
Angry | 45.2% |
Happy | 53.9% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 53.7% |
Happy | 53.8% |
Confused | 45.2% |
Angry | 45.2% |
Sad | 45.1% |
Calm | 45.5% |
Surprised | 45.2% |
Disgusted | 45.1% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 54.6% |
Happy | 45.5% |
Disgusted | 45.4% |
Angry | 45.5% |
Calm | 45.8% |
Sad | 51.8% |
Confused | 45.5% |
Surprised | 45.4% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Disgusted | 45.3% |
Calm | 45.2% |
Surprised | 45.6% |
Angry | 45.8% |
Happy | 52.6% |
Sad | 45.2% |
Confused | 45.3% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 54.8% |
Disgusted | 45.2% |
Confused | 45.2% |
Surprised | 45.4% |
Calm | 48.6% |
Happy | 50.2% |
Angry | 45.2% |
Sad | 45.3% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50% |
Sad | 47.2% |
Surprised | 45.6% |
Happy | 46.3% |
Angry | 45.5% |
Calm | 49% |
Confused | 45.3% |
Disgusted | 46% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 52.1% |
Confused | 45.2% |
Sad | 45.1% |
Calm | 45.4% |
Happy | 53.8% |
Surprised | 45.2% |
Disgusted | 45.1% |
Angry | 45.1% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 52.5% |
Surprised | 45.2% |
Disgusted | 45.1% |
Calm | 52.6% |
Happy | 46.4% |
Sad | 45.4% |
Angry | 45.1% |
Confused | 45.2% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Sad | 45.5% |
Surprised | 45.4% |
Disgusted | 45.4% |
Angry | 45.4% |
Calm | 52.3% |
Happy | 45.7% |
Confused | 45.4% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 52.7% |
Sad | 46.1% |
Confused | 45.3% |
Disgusted | 45.1% |
Surprised | 45.3% |
Angry | 45.7% |
Happy | 45.9% |
Calm | 51.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 54.5% |
Happy | 47.8% |
Disgusted | 45.7% |
Angry | 46% |
Calm | 46.4% |
Surprised | 45.7% |
Confused | 45.3% |
Sad | 48.2% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 54.8% |
Happy | 52.8% |
Confused | 45.2% |
Angry | 45.9% |
Disgusted | 45.1% |
Surprised | 45.4% |
Sad | 45.3% |
Calm | 45.3% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 53% |
Angry | 45.3% |
Sad | 45.7% |
Happy | 49.9% |
Calm | 47.1% |
Confused | 45.4% |
Disgusted | 45.2% |
Surprised | 46.3% |
Feature analysis
Categories
Imagga
paintings art | 99.1% | |
|
Captions
Microsoft
created on 2019-06-01
a group of people posing for a photo | 94.7% | |
| ||
a group of people posing for the camera | 94.6% | |
| ||
a group of people posing for a picture | 94.5% | |
|
Text analysis
Amazon

Manchester,

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Manchester NH
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Manchester

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