Machine Generated Data
Tags
Amazon
created on 2019-06-07
Restaurant | 98.7 | |
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Person | 98.6 | |
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Human | 98.6 | |
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Person | 98 | |
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Person | 97.8 | |
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Person | 97.5 | |
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Person | 97.2 | |
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Person | 97 | |
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Person | 96.8 | |
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Person | 95 | |
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Chair | 94.6 | |
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Furniture | 94.6 | |
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Chair | 93.1 | |
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Room | 89.7 | |
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Indoors | 89.7 | |
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Person | 88.2 | |
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Person | 88.2 | |
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Person | 88 | |
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Pub | 87.3 | |
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Person | 87 | |
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Meal | 83.7 | |
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Food | 83.7 | |
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Person | 83.6 | |
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Cafeteria | 82.3 | |
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Interior Design | 71 | |
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Person | 68.1 | |
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Bar Counter | 67.6 | |
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Cafe | 63.6 | |
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Person | 63 | |
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Table | 59.8 | |
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Classroom | 59.7 | |
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School | 59.7 | |
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Couch | 59.4 | |
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Food Court | 57.2 | |
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Clarifai
created on 2019-06-07
Imagga
created on 2019-06-07
Google
created on 2019-06-07
Photograph | 96.6 | |
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Snapshot | 88.1 | |
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Black-and-white | 74.4 | |
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Monochrome | 67.6 | |
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Room | 65.7 | |
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Photography | 62.4 | |
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Family | 56.6 | |
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Vintage clothing | 53.5 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 38-57 |
Gender | Male, 88.7% |
Sad | 16.5% |
Confused | 6.2% |
Calm | 44.4% |
Happy | 4.5% |
Angry | 9.8% |
Surprised | 2.9% |
Disgusted | 15.8% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 95.2% |
Angry | 4.1% |
Happy | 0.7% |
Sad | 72% |
Disgusted | 3.5% |
Confused | 4.7% |
Calm | 14.1% |
Surprised | 1% |

AWS Rekognition
Age | 15-25 |
Gender | Male, 81.3% |
Sad | 17.5% |
Happy | 1.4% |
Angry | 15.6% |
Calm | 40.5% |
Surprised | 7.8% |
Disgusted | 3.1% |
Confused | 14% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 53.9% |
Surprised | 45.1% |
Happy | 45.1% |
Confused | 45.2% |
Angry | 45.2% |
Calm | 46.6% |
Sad | 52.6% |
Disgusted | 45.1% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.8% |
Angry | 48.5% |
Happy | 45% |
Sad | 50.5% |
Calm | 45.5% |
Disgusted | 45.1% |
Confused | 45.2% |
Surprised | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 53.8% |
Disgusted | 45.1% |
Sad | 51.9% |
Confused | 45.1% |
Calm | 45.4% |
Surprised | 45.1% |
Angry | 45.3% |
Happy | 47.2% |

AWS Rekognition
Age | 35-55 |
Gender | Male, 50.2% |
Calm | 45.9% |
Sad | 52.2% |
Angry | 45.6% |
Surprised | 45.2% |
Happy | 45.2% |
Confused | 45.2% |
Disgusted | 45.6% |

AWS Rekognition
Age | 27-44 |
Gender | Female, 52.3% |
Sad | 50.7% |
Angry | 45.2% |
Calm | 47.2% |
Happy | 45.5% |
Disgusted | 45.2% |
Confused | 45.8% |
Surprised | 45.4% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 51.1% |
Disgusted | 45.4% |
Angry | 45.5% |
Happy | 45.7% |
Surprised | 45.3% |
Calm | 48.8% |
Confused | 45.2% |
Sad | 49.1% |

AWS Rekognition
Age | 14-25 |
Gender | Male, 54.3% |
Confused | 45.4% |
Angry | 45.6% |
Calm | 51% |
Happy | 45.3% |
Sad | 47% |
Disgusted | 45.2% |
Surprised | 45.4% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 54.2% |
Disgusted | 45.2% |
Angry | 45.2% |
Happy | 46.2% |
Confused | 45.1% |
Calm | 49.7% |
Sad | 48.3% |
Surprised | 45.3% |

Microsoft Cognitive Services
Age | 31 |
Gender | Male |

Microsoft Cognitive Services
Age | 12 |
Gender | Female |

Microsoft Cognitive Services
Age | 33 |
Gender | Female |

Microsoft Cognitive Services
Age | 27 |
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 |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
events parties | 76.5% | |
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people portraits | 20.5% | |
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interior objects | 1.1% | |
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Captions
Microsoft
created on 2019-06-07
a group of people posing for a photo | 97.9% | |
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a group of people standing in a room | 97.8% | |
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a group of people posing for the camera | 97.7% | |
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Text analysis
Amazon

G95H

R

R