Machine Generated Data
Tags
Amazon
created on 2019-06-04
Person | 99.2 | |
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Human | 99.2 | |
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Person | 98.1 | |
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Person | 97 | |
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Person | 97 | |
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Person | 96.5 | |
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Person | 95.4 | |
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Person | 91.4 | |
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Person | 90.8 | |
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Person | 90.5 | |
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Furniture | 89.2 | |
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Chair | 86.3 | |
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Person | 79.4 | |
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Room | 77 | |
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Indoors | 77 | |
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Painting | 75.8 | |
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Art | 75.8 | |
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People | 69.9 | |
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Outdoors | 64.7 | |
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Person | 63.9 | |
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Female | 62.3 | |
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Workshop | 61.3 | |
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Face | 59.5 | |
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Clinic | 59.4 | |
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Meal | 59 | |
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Food | 59 | |
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Reception | 58 | |
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Crowd | 57.2 | |
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Apparel | 56.8 | |
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Clothing | 56.8 | |
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Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
Google
created on 2019-06-04
Photograph | 96.1 | |
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Snapshot | 86.6 | |
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Room | 65.7 | |
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Photography | 62.4 | |
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Family | 58.3 | |
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Vintage clothing | 52.1 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.3% |
Confused | 45.2% |
Angry | 45.3% |
Surprised | 45.1% |
Sad | 53.4% |
Disgusted | 45.4% |
Calm | 45.4% |
Happy | 45.2% |

AWS Rekognition
Age | 35-53 |
Gender | Female, 52.1% |
Happy | 46% |
Calm | 46.1% |
Confused | 46.2% |
Disgusted | 45.2% |
Surprised | 45.4% |
Angry | 46.3% |
Sad | 49.7% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 52.1% |
Disgusted | 45.4% |
Calm | 47.5% |
Angry | 46% |
Sad | 48.8% |
Happy | 45.8% |
Surprised | 45.9% |
Confused | 45.7% |

AWS Rekognition
Age | 45-63 |
Gender | Female, 53.9% |
Happy | 45.5% |
Disgusted | 46.2% |
Sad | 50.7% |
Confused | 45.2% |
Angry | 46.4% |
Surprised | 45.6% |
Calm | 45.3% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 50.8% |
Calm | 45.8% |
Sad | 53% |
Happy | 45.3% |
Angry | 45.2% |
Disgusted | 45.3% |
Confused | 45.1% |
Surprised | 45.3% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 51.4% |
Confused | 45.7% |
Disgusted | 46.4% |
Sad | 48.5% |
Surprised | 45.8% |
Calm | 47.2% |
Happy | 45.6% |
Angry | 45.9% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 51.7% |
Happy | 45.2% |
Surprised | 45.4% |
Calm | 51.8% |
Confused | 45.3% |
Disgusted | 45.5% |
Angry | 45.4% |
Sad | 46.5% |

AWS Rekognition
Age | 35-55 |
Gender | Male, 53.1% |
Surprised | 45.5% |
Happy | 45.2% |
Confused | 45.3% |
Sad | 45.6% |
Calm | 53.1% |
Disgusted | 45.1% |
Angry | 45.3% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 54.7% |
Sad | 49.9% |
Disgusted | 46.8% |
Angry | 46% |
Surprised | 45.4% |
Calm | 45.6% |
Confused | 45.3% |
Happy | 46.1% |

AWS Rekognition
Age | 29-45 |
Gender | Female, 50.4% |
Surprised | 45.3% |
Happy | 45.2% |
Sad | 53.6% |
Calm | 45.3% |
Confused | 45.2% |
Disgusted | 45.1% |
Angry | 45.3% |
Feature analysis
Categories
Imagga
interior objects | 94.4% | |
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paintings art | 4.7% | |
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Captions
Microsoft
created on 2019-06-04
a vintage photo of a group of people sitting at a table | 86% | |
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a vintage photo of a group of people sitting around a table | 85.4% | |
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a vintage photo of a group of people sitting on a table | 79.4% | |
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Text analysis
Amazon

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