Machine Generated Data
Tags
Amazon
created on 2019-11-07
Clarifai
created on 2019-11-07
people | 100 | |
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group together | 99.2 | |
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adult | 99.2 | |
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group | 99.1 | |
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many | 97.9 | |
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vehicle | 97.1 | |
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military | 92.6 | |
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man | 92.5 | |
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leader | 90.9 | |
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several | 90.4 | |
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transportation system | 89.2 | |
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outfit | 89.1 | |
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watercraft | 88.7 | |
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five | 88.2 | |
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three | 88.1 | |
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two | 87.1 | |
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wear | 86.7 | |
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war | 76.7 | |
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administration | 76.6 | |
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aircraft | 74.7 | |
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Imagga
created on 2019-11-07
projector | 100 | |
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automaton | 74.8 | |
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optical instrument | 50.5 | |
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device | 47.7 | |
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optical device | 27.8 | |
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technology | 26 | |
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metal | 25.7 | |
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power | 21.8 | |
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engine | 20.2 | |
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equipment | 19.6 | |
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machine | 19.1 | |
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industry | 18.8 | |
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transportation | 17 | |
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old | 16.7 | |
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part | 16.6 | |
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mechanical | 14.6 | |
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military | 14.5 | |
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steel | 14.1 | |
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vehicle | 14 | |
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motor | 13.6 | |
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war | 13.5 | |
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vintage | 13.2 | |
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futuristic | 12.6 | |
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chrome | 12.2 | |
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antique | 12.2 | |
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car | 12 | |
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safety | 12 | |
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retro | 11.5 | |
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weapon | 11.5 | |
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film | 11.4 | |
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future | 11.2 | |
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gun | 11.2 | |
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protection | 10.9 | |
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auto | 10.5 | |
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entertainment | 10.1 | |
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industrial | 10 | |
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metallic | 9.2 | |
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black | 9 | |
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soldier | 8.8 | |
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man | 8.8 | |
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mask | 8.6 | |
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automobile | 8.6 | |
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wheel | 8.5 | |
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fast | 8.4 | |
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speed | 8.2 | |
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danger | 8.2 | |
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movie | 8.2 | |
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tool | 8.1 | |
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new | 8.1 | |
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detail | 8 | |
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shiny | 7.9 | |
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cannon | 7.9 | |
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automotive | 7.8 | |
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parts | 7.8 | |
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cinema | 7.8 | |
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mechanic | 7.8 | |
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pipe | 7.8 | |
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lens | 7.7 | |
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modern | 7.7 | |
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fuel | 7.7 | |
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camera | 7.7 | |
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engineering | 7.6 | |
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light | 7.3 | |
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valve | 7.3 | |
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science | 7.1 | |
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Google
created on 2019-11-07
Photograph | 96 | |
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Photography | 70.6 | |
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Team | 67.7 | |
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Room | 65.7 | |
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Stock photography | 64 | |
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Art | 58.1 | |
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History | 57.6 | |
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Crew | 54.9 | |
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Illustration | 50.4 | |
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Collection | 50 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 48-66 |
Gender | Male, 97% |
Happy | 0.7% |
Disgusted | 1.2% |
Surprised | 0.9% |
Calm | 85% |
Fear | 0.4% |
Angry | 3.6% |
Sad | 4.1% |
Confused | 4.1% |

AWS Rekognition
Age | 9-19 |
Gender | Female, 83.7% |
Sad | 21.7% |
Happy | 0% |
Fear | 0.1% |
Confused | 3.6% |
Surprised | 0.2% |
Calm | 73.8% |
Angry | 0.6% |
Disgusted | 0.1% |

AWS Rekognition
Age | 29-45 |
Gender | Male, 96.5% |
Angry | 1% |
Calm | 97.4% |
Disgusted | 0.2% |
Happy | 0% |
Fear | 0.1% |
Sad | 0.9% |
Surprised | 0.1% |
Confused | 0.2% |

AWS Rekognition
Age | 23-37 |
Gender | Male, 81.9% |
Disgusted | 0.2% |
Fear | 1.2% |
Happy | 0.3% |
Confused | 0.6% |
Angry | 82.4% |
Calm | 8.3% |
Sad | 0.4% |
Surprised | 6.5% |

Microsoft Cognitive Services
Age | 56 |
Gender | Male |

Microsoft Cognitive Services
Age | 44 |
Gender | Male |

Microsoft Cognitive Services
Age | 29 |
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 | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 77.1% | |
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people portraits | 20.6% | |
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Captions
Microsoft
created on 2019-11-07
a vintage photo of a group of people posing for the camera | 94.5% | |
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a vintage photo of a group of people posing for a picture | 94.4% | |
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a vintage photo of a group of people posing for a photo | 93.5% | |
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