Machine Generated Data
Tags
Amazon
created on 2022-01-09
Person | 99.6 | |
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Human | 99.6 | |
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Person | 99.6 | |
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Person | 97.9 | |
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Leisure Activities | 88.5 | |
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Musician | 84.4 | |
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Musical Instrument | 84.4 | |
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Violin | 75 | |
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Fiddle | 75 | |
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Viola | 75 | |
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Person | 72.4 | |
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Photography | 61.8 | |
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Photo | 61.8 | |
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Portrait | 60.5 | |
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Face | 60.5 | |
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Clarifai
created on 2023-10-25
Imagga
created on 2022-01-09
cash | 20.1 | |
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art | 20.1 | |
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graffito | 19.8 | |
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currency | 19.7 | |
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money | 19.5 | |
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decoration | 19.5 | |
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book jacket | 15.6 | |
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old | 15.3 | |
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bank | 15.2 | |
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black | 15.1 | |
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dollar | 14.8 | |
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sculpture | 14.6 | |
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finance | 14.3 | |
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savings | 14 | |
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financial | 13.4 | |
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bill | 13.3 | |
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jacket | 13.1 | |
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banking | 12.9 | |
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china | 12.2 | |
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wealth | 11.7 | |
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dollars | 11.6 | |
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covering | 11.5 | |
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paper | 11.1 | |
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religion | 10.7 | |
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vintage | 10.7 | |
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business | 10.3 | |
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ceramic ware | 10.2 | |
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container | 10.2 | |
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symbol | 10.1 | |
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one | 9.7 | |
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pay | 9.6 | |
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economy | 9.3 | |
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wrapping | 9.2 | |
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note | 9.2 | |
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history | 8.9 | |
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object | 8.8 | |
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man | 8.7 | |
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banknote | 8.7 | |
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newspaper | 8.7 | |
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antique | 8.6 | |
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culture | 8.5 | |
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grunge | 8.5 | |
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rich | 8.4 | |
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church | 8.3 | |
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letter | 8.2 | |
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retro | 8.2 | |
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detail | 8 | |
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person | 7.9 | |
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funds | 7.8 | |
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porcelain | 7.8 | |
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color | 7.8 | |
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states | 7.7 | |
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product | 7.7 | |
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payment | 7.7 | |
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united | 7.6 | |
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design | 7.6 | |
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creation | 7.2 | |
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freight car | 7.2 | |
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world | 7.1 | |
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night | 7.1 | |
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Google
created on 2022-01-09
Hat | 88.1 | |
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Vintage clothing | 76 | |
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Art | 75.7 | |
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Classic | 72.4 | |
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Event | 66.9 | |
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History | 64.2 | |
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Stock photography | 63.8 | |
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Rectangle | 62.6 | |
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Sitting | 57.8 | |
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Motor vehicle | 55.8 | |
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Retro style | 55 | |
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Visual arts | 54.5 | |
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Painting | 53.9 | |
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Suit | 53.3 | |
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Victorian fashion | 53.1 | |
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Illustration | 51.6 | |
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Font | 51.1 | |
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Uniform | 51 | |
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Costume hat | 50.8 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 13-21 |
Gender | Female, 100% |
Confused | 84.3% |
Calm | 8% |
Surprised | 2.9% |
Angry | 1.7% |
Disgusted | 1.3% |
Fear | 1% |
Sad | 0.6% |
Happy | 0.1% |

AWS Rekognition
Age | 19-27 |
Gender | Male, 99.9% |
Confused | 33.8% |
Calm | 22% |
Surprised | 19.5% |
Fear | 15.1% |
Sad | 4.4% |
Happy | 2.1% |
Angry | 2% |
Disgusted | 1% |

AWS Rekognition
Age | 23-33 |
Gender | Female, 85.4% |
Fear | 73.1% |
Calm | 11.9% |
Sad | 7.8% |
Angry | 2.1% |
Happy | 1.7% |
Surprised | 1.3% |
Confused | 1.3% |
Disgusted | 0.8% |

AWS Rekognition
Age | 26-36 |
Gender | Female, 99.8% |
Calm | 99.6% |
Happy | 0.2% |
Surprised | 0.1% |
Sad | 0.1% |
Confused | 0% |
Angry | 0% |
Disgusted | 0% |
Fear | 0% |

Microsoft Cognitive Services
Age | 30 |
Gender | Male |

Microsoft Cognitive Services
Age | 31 |
Gender | Male |

Microsoft Cognitive Services
Age | 21 |
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 | Unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 65.7% | |
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paintings art | 32.5% | |
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Captions
Microsoft
created on 2022-01-09
Text analysis

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