Machine Generated Data
Tags
Amazon
created on 2022-01-09
Clarifai
created on 2023-10-25
Imagga
created on 2022-01-09
television | 38.2 | |
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telecommunication system | 27.6 | |
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man | 27.5 | |
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people | 27.3 | |
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person | 23.8 | |
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sitting | 20.6 | |
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adult | 20.3 | |
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male | 19.2 | |
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love | 18.9 | |
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couple | 18.3 | |
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lifestyle | 18 | |
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attractive | 16.8 | |
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chair | 16.4 | |
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happy | 16.3 | |
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room | 15.3 | |
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professional | 14.9 | |
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pretty | 14.7 | |
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home | 14.3 | |
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black | 13.9 | |
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looking | 13.6 | |
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fashion | 13.6 | |
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business | 13.3 | |
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happiness | 13.3 | |
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portrait | 12.9 | |
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men | 12.9 | |
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sexy | 12.8 | |
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couch | 12.5 | |
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leisure | 12.4 | |
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smiling | 12.3 | |
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musical instrument | 12.1 | |
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sofa | 11.8 | |
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suit | 11.7 | |
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model | 11.7 | |
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cheerful | 11.4 | |
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furniture | 10.8 | |
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smile | 10.7 | |
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office | 10.6 | |
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businessman | 10.6 | |
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lady | 10.5 | |
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together | 10.5 | |
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passion | 10.3 | |
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laptop | 10.1 | |
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indoor | 10 | |
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house | 10 | |
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dress | 9.9 | |
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fun | 9.7 | |
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thinking | 9.5 | |
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relax | 9.3 | |
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executive | 9.2 | |
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romance | 8.9 | |
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interior | 8.8 | |
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women | 8.7 | |
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waiting | 8.7 | |
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human | 8.2 | |
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one | 8.2 | |
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sensual | 8.2 | |
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style | 8.2 | |
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worker | 8.1 | |
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romantic | 8 | |
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night | 8 | |
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job | 8 | |
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computer | 7.9 | |
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guitar | 7.8 | |
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reading | 7.6 | |
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studio | 7.6 | |
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hand | 7.6 | |
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tie | 7.6 | |
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wife | 7.6 | |
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living | 7.6 | |
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elegance | 7.5 | |
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stringed instrument | 7.4 | |
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sensuality | 7.3 | |
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group | 7.2 | |
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body | 7.2 | |
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handsome | 7.1 | |
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posing | 7.1 | |
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working | 7.1 | |
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work | 7.1 | |
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Google
created on 2022-01-09
Rectangle | 78.6 | |
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Art | 78.5 | |
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Tints and shades | 77.4 | |
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Vintage clothing | 76.9 | |
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Motor vehicle | 71.3 | |
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Event | 68.5 | |
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Visual arts | 67 | |
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Sitting | 66.4 | |
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Classic | 65.8 | |
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Oval | 62.2 | |
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Room | 60.5 | |
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Square | 58.3 | |
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Painting | 55.9 | |
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Still life photography | 54.4 | |
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History | 54.4 | |
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Monochrome | 51.1 | |
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Chair | 50.6 | |
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Antique | 50.3 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 14-22 |
Gender | Female, 100% |
Calm | 99.3% |
Confused | 0.2% |
Angry | 0.2% |
Happy | 0.1% |
Sad | 0.1% |
Disgusted | 0.1% |
Fear | 0% |
Surprised | 0% |

AWS Rekognition
Age | 13-21 |
Gender | Female, 100% |
Calm | 98.5% |
Sad | 1.1% |
Confused | 0.2% |
Surprised | 0.1% |
Angry | 0.1% |
Disgusted | 0% |
Fear | 0% |
Happy | 0% |

AWS Rekognition
Age | 11-19 |
Gender | Female, 99.7% |
Calm | 91.8% |
Confused | 3.4% |
Sad | 2.9% |
Surprised | 0.6% |
Angry | 0.3% |
Fear | 0.3% |
Happy | 0.3% |
Disgusted | 0.3% |

AWS Rekognition
Age | 18-26 |
Gender | Female, 99.9% |
Calm | 98% |
Sad | 0.6% |
Happy | 0.4% |
Surprised | 0.3% |
Angry | 0.2% |
Confused | 0.2% |
Fear | 0.1% |
Disgusted | 0.1% |

Microsoft Cognitive Services
Age | 28 |
Gender | Female |

Microsoft Cognitive Services
Age | 31 |
Gender | Female |

Microsoft Cognitive Services
Age | 20 |
Gender | Female |

Microsoft Cognitive Services
Age | 22 |
Gender | Female |

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

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Likely |
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
people portraits | 85% | |
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food drinks | 8.3% | |
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interior objects | 3.3% | |
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events parties | 2.1% | |
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paintings art | 1.1% | |
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