Machine Generated Data
Tags
Amazon
created on 2019-06-01
Human | 99.5 | |
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Musical Instrument | 99.5 | |
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Musician | 99.5 | |
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Music Band | 99.2 | |
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Person | 96.6 | |
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Person | 96.6 | |
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Person | 95.6 | |
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Person | 94.5 | |
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Person | 94.3 | |
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Person | 94.2 | |
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Person | 93.6 | |
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Person | 93.2 | |
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Person | 88.3 | |
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Leisure Activities | 88.1 | |
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Person | 84.4 | |
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Person | 80.7 | |
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Apparel | 79.1 | |
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Clothing | 79.1 | |
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Helmet | 79.1 | |
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Person | 78.9 | |
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Person | 74.2 | |
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Helmet | 73.9 | |
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Person | 71.4 | |
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Person | 69.4 | |
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Person | 64.6 | |
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Person | 64.4 | |
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Suit | 56.8 | |
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Overcoat | 56.8 | |
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Coat | 56.8 | |
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Drum | 56.3 | |
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Percussion | 56.3 | |
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Clarifai
created on 2019-06-01
Imagga
created on 2019-06-01
brass | 100 | |
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wind instrument | 84.2 | |
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baritone | 70.4 | |
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musical instrument | 53.2 | |
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glass | 43.1 | |
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sax | 26.5 | |
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laboratory | 23.1 | |
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research | 22.8 | |
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experiment | 22.4 | |
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chemistry | 22.2 | |
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chemical | 21.2 | |
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biology | 20.9 | |
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drink | 20 | |
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liquid | 20 | |
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lab | 19.4 | |
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medical | 18.5 | |
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alcohol | 18.4 | |
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music | 18.2 | |
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biotechnology | 17.6 | |
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wine | 17.5 | |
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bass | 16.6 | |
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science | 16 | |
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glassware | 15.7 | |
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equipment | 15.5 | |
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bottle | 15 | |
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medicine | 15 | |
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cornet | 14.9 | |
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beverage | 14.9 | |
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glasses | 14.8 | |
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scientific | 13.6 | |
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development | 13.3 | |
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test | 12.5 | |
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container | 12.4 | |
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food | 12.1 | |
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beaker | 12.1 | |
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flask | 11.8 | |
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water | 11.3 | |
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transparent | 10.7 | |
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device | 10.3 | |
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horn | 10.1 | |
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fluid | 9.7 | |
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table | 9.5 | |
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party | 9.4 | |
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trombone | 9.4 | |
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cup | 8.9 | |
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metal | 8.8 | |
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h2o | 8.8 | |
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discovery | 8.8 | |
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pharmacy | 8.7 | |
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tube | 8.7 | |
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luxury | 8.6 | |
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aqua | 8.6 | |
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plate | 8.5 | |
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eating | 8.4 | |
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instrument | 8.4 | |
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kitchen | 8 | |
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celebration | 8 | |
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decoration | 8 | |
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measure | 8 | |
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sterilize | 7.9 | |
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biochemistry | 7.9 | |
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genetic | 7.9 | |
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sterile | 7.9 | |
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scientist | 7.8 | |
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pharmaceutical | 7.8 | |
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life | 7.8 | |
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black | 7.8 | |
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champagne | 7.7 | |
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dinner | 7.7 | |
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setting | 7.7 | |
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solution | 7.6 | |
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technology | 7.4 | |
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bar | 7.4 | |
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light | 7.3 | |
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reflection | 7.3 | |
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Google
created on 2019-06-01
Team | 78.6 | |
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Marching band | 63.5 | |
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Stock photography | 59.4 | |
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Marching percussion | 56.2 | |
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Crew | 52.6 | |
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Musical instrument | 51.8 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 26-43 |
Gender | Female, 55% |
Confused | 45.2% |
Surprised | 45.5% |
Calm | 46.6% |
Sad | 45.3% |
Happy | 50.9% |
Disgusted | 46.2% |
Angry | 45.3% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 52.5% |
Confused | 45.5% |
Surprised | 45.6% |
Angry | 45.8% |
Calm | 47.1% |
Disgusted | 45.5% |
Sad | 49.1% |
Happy | 46.4% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.7% |
Angry | 45.4% |
Confused | 45.3% |
Surprised | 45.3% |
Happy | 52.2% |
Sad | 45.9% |
Calm | 45.7% |
Disgusted | 45.2% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.5% |
Surprised | 45.1% |
Disgusted | 45% |
Calm | 45.1% |
Happy | 54.5% |
Sad | 45.1% |
Angry | 45.1% |
Confused | 45% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 53.2% |
Disgusted | 45.4% |
Angry | 45.7% |
Confused | 45.5% |
Sad | 46.7% |
Happy | 45.9% |
Calm | 50.1% |
Surprised | 45.7% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.7% |
Happy | 54.4% |
Calm | 45.1% |
Angry | 45.1% |
Confused | 45.1% |
Surprised | 45.1% |
Sad | 45.1% |
Disgusted | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 51.5% |
Disgusted | 45.1% |
Calm | 45.6% |
Angry | 45.2% |
Sad | 45.2% |
Happy | 53.2% |
Surprised | 45.5% |
Confused | 45.2% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 52% |
Confused | 45.1% |
Surprised | 45.3% |
Sad | 45.5% |
Angry | 45.3% |
Happy | 53.6% |
Calm | 45.1% |
Disgusted | 45.1% |

AWS Rekognition
Age | 27-44 |
Gender | Male, 53.2% |
Happy | 46.2% |
Confused | 45.4% |
Angry | 45.8% |
Sad | 45.4% |
Calm | 51.2% |
Surprised | 45.4% |
Disgusted | 45.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 51.7% |
Angry | 45.5% |
Happy | 46.5% |
Confused | 45.5% |
Sad | 45.9% |
Calm | 50% |
Surprised | 46.2% |
Disgusted | 45.3% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 53% |
Disgusted | 45.4% |
Confused | 45.3% |
Surprised | 45.3% |
Calm | 45.5% |
Happy | 46.1% |
Angry | 45.4% |
Sad | 51.9% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 52.3% |
Disgusted | 45.2% |
Calm | 46% |
Angry | 46.1% |
Sad | 45.9% |
Surprised | 45.6% |
Happy | 50.6% |
Confused | 45.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 52.4% |
Happy | 50.3% |
Calm | 49% |
Angry | 45.2% |
Confused | 45.2% |
Surprised | 45.1% |
Sad | 45.1% |
Disgusted | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 53.7% |
Confused | 45.3% |
Happy | 51.5% |
Surprised | 45.4% |
Angry | 45.4% |
Disgusted | 45.2% |
Calm | 46.2% |
Sad | 46% |
Feature analysis
Categories
Imagga
paintings art | 46.9% | |
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interior objects | 39.7% | |
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people portraits | 9.7% | |
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food drinks | 1.6% | |
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Captions
Microsoft
created on 2019-06-01
a group of people posing for a photo | 94.5% | |
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a group of people posing for the camera | 94.4% | |
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a group of people posing for a picture | 94.3% | |
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