Machine Generated Data
Tags
Amazon
created on 2019-06-01
Person | 99.6 | |
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Human | 99.6 | |
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Person | 99.4 | |
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Person | 99.4 | |
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Person | 99.3 | |
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Person | 99.3 | |
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Person | 99.2 | |
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Person | 99.2 | |
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Person | 99 | |
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Person | 98.5 | |
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Person | 97.8 | |
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Person | 97.5 | |
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Person | 94.6 | |
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Person | 93.1 | |
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Person | 90.3 | |
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Floor | 89.8 | |
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Person | 89.1 | |
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Flooring | 80.4 | |
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People | 78.7 | |
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Person | 76.9 | |
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Person | 74.5 | |
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Clothing | 64.9 | |
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Apparel | 64.9 | |
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Crowd | 60.8 | |
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Indoors | 59.8 | |
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Room | 56.4 | |
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Person | 43.3 | |
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Clarifai
created on 2019-06-01
Imagga
created on 2019-06-01
picket fence | 23.8 | |
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structure | 22 | |
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fence | 21.7 | |
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art | 19.2 | |
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fountain | 15.9 | |
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barrier | 15.5 | |
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flag | 15.2 | |
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architecture | 15 | |
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negative | 14.8 | |
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building | 14.8 | |
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design | 14.7 | |
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city | 14.1 | |
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business | 12.7 | |
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house | 12.6 | |
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graphic | 12.4 | |
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scene | 11.2 | |
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old | 11.1 | |
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grunge | 11.1 | |
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film | 10.7 | |
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retro | 10.6 | |
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sign | 10.5 | |
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urban | 10.5 | |
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water | 10 | |
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obstruction | 9.7 | |
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people | 9.5 | |
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silhouette | 9.1 | |
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decoration | 9 | |
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marble | 8.9 | |
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sky | 8.9 | |
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cool | 8.9 | |
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symbol | 8.7 | |
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crowd | 8.6 | |
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construction | 8.6 | |
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winter | 8.5 | |
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sculpture | 8.4 | |
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modern | 8.4 | |
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clip | 8.4 | |
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office | 8.3 | |
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snow | 8.3 | |
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vintage | 8.3 | |
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outdoors | 8.2 | |
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ice | 8.2 | |
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style | 8.2 | |
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gymnasium | 8.1 | |
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group | 8.1 | |
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life | 7.9 | |
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waving | 7.8 | |
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patriotism | 7.7 | |
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glass | 7.7 | |
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ripple | 7.6 | |
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net | 7.5 | |
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exterior | 7.4 | |
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light | 7.3 | |
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speed | 7.3 | |
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national | 7.2 | |
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black | 7.2 | |
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antique | 7.1 | |
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information | 7.1 | |
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day | 7.1 | |
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travel | 7 | |
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country | 7 | |
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Google
created on 2019-06-01
Photograph | 96.6 | |
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Text | 85.2 | |
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Snapshot | 82.5 | |
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Room | 65.7 | |
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Photography | 62.4 | |
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Black-and-white | 56.4 | |
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Microsoft
created on 2019-06-01
person | 92.2 | |
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clothing | 83.7 | |
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white | 61.7 | |
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black and white | 52.3 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 16-27 |
Gender | Female, 54% |
Sad | 45.8% |
Angry | 46.4% |
Disgusted | 50.9% |
Surprised | 45.7% |
Happy | 45.9% |
Calm | 45.1% |
Confused | 45.3% |

AWS Rekognition
Age | 35-55 |
Gender | Female, 52.3% |
Angry | 45.8% |
Disgusted | 46.3% |
Confused | 45.5% |
Calm | 46.6% |
Sad | 49.3% |
Surprised | 45.7% |
Happy | 45.8% |

AWS Rekognition
Age | 27-44 |
Gender | Female, 53.7% |
Surprised | 46% |
Confused | 45.5% |
Disgusted | 47.4% |
Happy | 47.9% |
Sad | 46.6% |
Calm | 45.2% |
Angry | 46.4% |

AWS Rekognition
Age | 10-15 |
Gender | Male, 51.7% |
Confused | 46% |
Surprised | 45.3% |
Happy | 45.3% |
Calm | 47.2% |
Sad | 49.2% |
Disgusted | 46% |
Angry | 46% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 52.8% |
Surprised | 46% |
Sad | 48.2% |
Angry | 46.4% |
Disgusted | 47.3% |
Calm | 45.3% |
Happy | 46.4% |
Confused | 45.5% |

AWS Rekognition
Age | 35-53 |
Gender | Male, 50.8% |
Angry | 46% |
Calm | 47.5% |
Sad | 46.2% |
Surprised | 45.7% |
Disgusted | 47.7% |
Happy | 46.4% |
Confused | 45.5% |

AWS Rekognition
Age | 26-44 |
Gender | Female, 54.7% |
Surprised | 45.8% |
Sad | 48.5% |
Happy | 46.5% |
Angry | 46% |
Disgusted | 46.9% |
Confused | 45.4% |
Calm | 45.8% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 53.8% |
Disgusted | 48% |
Calm | 45.7% |
Sad | 46.4% |
Confused | 45.6% |
Angry | 45.8% |
Surprised | 45.8% |
Happy | 47.8% |

AWS Rekognition
Age | 27-44 |
Gender | Female, 54.5% |
Confused | 45.3% |
Disgusted | 50.6% |
Happy | 45.6% |
Surprised | 45.7% |
Calm | 45.2% |
Sad | 46% |
Angry | 46.5% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 53.9% |
Happy | 45.9% |
Sad | 46.1% |
Surprised | 46% |
Confused | 45.5% |
Disgusted | 48.6% |
Calm | 45.6% |
Angry | 47.3% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 53.1% |
Angry | 46% |
Happy | 47.9% |
Sad | 45.7% |
Disgusted | 47% |
Confused | 45.4% |
Calm | 47.2% |
Surprised | 45.8% |

AWS Rekognition
Age | 48-68 |
Gender | Female, 50.5% |
Angry | 45.2% |
Disgusted | 45% |
Confused | 45.1% |
Calm | 45.1% |
Sad | 54.6% |
Surprised | 45% |
Happy | 45% |
Feature analysis
Categories
Imagga
interior objects | 54.2% | |
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text visuals | 37% | |
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paintings art | 6.5% | |
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Captions
Microsoft
created on 2019-06-01
a black and white photo of a building | 57% | |
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a black and white photo of a person | 44.4% | |
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a person standing in front of a window | 31.4% | |
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