Machine Generated Data
Tags
Amazon
created on 2019-06-04
Person | 99.5 | |
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Human | 99.5 | |
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Person | 98.6 | |
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Person | 98.5 | |
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Person | 96.7 | |
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Person | 96.1 | |
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Person | 95.5 | |
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Furniture | 90.2 | |
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Table | 85.9 | |
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Room | 85 | |
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Indoors | 85 | |
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Person | 79.6 | |
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Restaurant | 78.8 | |
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Person | 78.3 | |
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Person | 77.1 | |
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Sitting | 71.2 | |
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Person | 66.7 | |
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Person | 66.2 | |
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People | 62.8 | |
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Food | 61.7 | |
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Meal | 61.7 | |
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Dining Table | 59.5 | |
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Classroom | 59.2 | |
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School | 59.2 | |
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Cafeteria | 58.8 | |
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Apparel | 56.4 | |
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Clothing | 56.4 | |
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Person | 55 | |
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Person | 54.2 | |
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Person | 44 | |
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Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
Google
created on 2019-06-04
Table | 82.6 | |
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Room | 76.5 | |
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Furniture | 66 | |
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Meal | 61.5 | |
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Dining room | 58.7 | |
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Supper | 53.9 | |
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Restaurant | 50.1 | |
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Microsoft
created on 2019-06-04
table | 98.4 | |
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clothing | 97.1 | |
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indoor | 93.4 | |
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person | 92 | |
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old | 78.1 | |
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woman | 70.5 | |
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man | 67.6 | |
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dining table | 19.6 | |
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restaurant | 17.1 | |
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dining room | 8.2 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 45-63 |
Gender | Male, 50.8% |
Calm | 45.6% |
Sad | 54% |
Angry | 45.2% |
Disgusted | 45% |
Confused | 45.1% |
Happy | 45% |
Surprised | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 53.6% |
Disgusted | 45.8% |
Calm | 48.4% |
Happy | 45.3% |
Angry | 48.4% |
Sad | 45.6% |
Confused | 46.2% |
Surprised | 45.3% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 86.3% |
Calm | 38.6% |
Disgusted | 5.9% |
Surprised | 4.8% |
Sad | 23.8% |
Happy | 5.4% |
Angry | 7.1% |
Confused | 14.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 51.9% |
Calm | 46.8% |
Confused | 45.2% |
Sad | 51.9% |
Angry | 45.3% |
Happy | 45.4% |
Disgusted | 45.1% |
Surprised | 45.3% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 54% |
Sad | 48.4% |
Confused | 45.2% |
Disgusted | 45.5% |
Happy | 49.9% |
Angry | 45.7% |
Calm | 45.1% |
Surprised | 45.2% |

AWS Rekognition
Age | 57-77 |
Gender | Female, 55% |
Angry | 45.2% |
Disgusted | 51.6% |
Confused | 45.2% |
Calm | 45.8% |
Happy | 45.6% |
Surprised | 45.1% |
Sad | 46.4% |

AWS Rekognition
Age | 29-45 |
Gender | Female, 54.6% |
Happy | 45.5% |
Surprised | 45.2% |
Calm | 49.6% |
Confused | 45.1% |
Disgusted | 45.2% |
Angry | 45.3% |
Sad | 49.1% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 69.6% |
Confused | 3.5% |
Angry | 16.4% |
Calm | 11.2% |
Disgusted | 29.2% |
Sad | 29.3% |
Happy | 7.8% |
Surprised | 2.7% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.1% |
Disgusted | 49.8% |
Calm | 49.6% |
Surprised | 49.6% |
Sad | 49.7% |
Confused | 49.5% |
Angry | 49.8% |
Happy | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.7% |
Angry | 45.4% |
Happy | 45.2% |
Disgusted | 48.4% |
Confused | 45.6% |
Surprised | 45.5% |
Sad | 45.6% |
Calm | 49.3% |

AWS Rekognition
Age | 45-66 |
Gender | Female, 54.6% |
Surprised | 45.7% |
Angry | 45.4% |
Calm | 45.2% |
Confused | 45.2% |
Disgusted | 45.2% |
Happy | 45.6% |
Sad | 52.6% |

AWS Rekognition
Age | 4-7 |
Gender | Female, 50.7% |
Angry | 47.5% |
Disgusted | 45.2% |
Confused | 45.5% |
Calm | 46.5% |
Happy | 45.2% |
Surprised | 45.2% |
Sad | 49.9% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.3% |
Happy | 49.5% |
Calm | 49.5% |
Confused | 49.5% |
Disgusted | 49.5% |
Surprised | 49.5% |
Angry | 49.7% |
Sad | 50.3% |

AWS Rekognition
Age | 17-27 |
Gender | Male, 50.1% |
Confused | 49.6% |
Angry | 49.7% |
Calm | 49.7% |
Disgusted | 49.6% |
Sad | 49.8% |
Happy | 49.6% |
Surprised | 49.6% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.4% |
Sad | 49.9% |
Disgusted | 49.8% |
Surprised | 49.5% |
Angry | 49.6% |
Happy | 49.5% |
Calm | 49.6% |
Confused | 49.6% |

AWS Rekognition
Age | 10-15 |
Gender | Male, 50.3% |
Surprised | 49.6% |
Confused | 49.5% |
Sad | 49.7% |
Disgusted | 49.5% |
Calm | 49.6% |
Angry | 49.6% |
Happy | 49.8% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.1% |
Angry | 49.6% |
Happy | 49.7% |
Disgusted | 49.6% |
Sad | 49.8% |
Confused | 49.6% |
Calm | 49.7% |
Surprised | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 53% |
Angry | 45.5% |
Sad | 50.3% |
Disgusted | 45.7% |
Happy | 45.2% |
Calm | 47.3% |
Confused | 45.5% |
Surprised | 45.4% |

AWS Rekognition
Age | 11-18 |
Gender | Female, 50.2% |
Happy | 49.5% |
Surprised | 49.5% |
Angry | 49.5% |
Sad | 49.6% |
Confused | 49.6% |
Calm | 50.2% |
Disgusted | 49.5% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.5% |
Angry | 49.6% |
Calm | 49.5% |
Sad | 50.1% |
Confused | 49.5% |
Disgusted | 49.6% |
Happy | 49.6% |
Surprised | 49.5% |

Microsoft Cognitive Services
Age | 37 |
Gender | Female |

Microsoft Cognitive Services
Age | 35 |
Gender | Female |

Microsoft Cognitive Services
Age | 33 |
Gender | Female |

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 |
Feature analysis
Categories
Imagga
interior objects | 98.8% | |
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Captions
Microsoft
created on 2019-06-04
a group of people sitting at a table | 98.3% | |
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a group of people sitting around a table | 98.2% | |
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a group of people sitting at a table in a restaurant | 97.9% | |
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