Machine Generated Data
Tags
Amazon
created on 2019-05-30
Poster | 99.4 | |
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Advertisement | 99.4 | |
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Collage | 99.4 | |
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Human | 99.3 | |
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Person | 99.3 | |
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Person | 99.1 | |
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Person | 99 | |
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Person | 98.6 | |
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Person | 98.1 | |
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Person | 97.7 | |
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Person | 93.8 | |
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Animal | 85.9 | |
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Mammal | 85.9 | |
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Horse | 85.9 | |
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Person | 81.2 | |
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Person | 78.4 | |
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Person | 74.6 | |
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Person | 72.4 | |
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Person | 68.1 | |
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Hair | 66.1 | |
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Outdoors | 63.2 | |
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Person | 62.1 | |
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Person | 60.2 | |
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Person | 59 | |
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Clothing | 58.1 | |
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Apparel | 58.1 | |
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Suit | 58.1 | |
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Coat | 58.1 | |
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Overcoat | 58.1 | |
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Person | 52.5 | |
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Person | 52.2 | |
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Person | 48.8 | |
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Clarifai
created on 2019-05-30
Imagga
created on 2019-05-30
barbershop | 62.7 | |
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shop | 52.3 | |
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mercantile establishment | 41.5 | |
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window | 33.2 | |
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place of business | 27.6 | |
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old | 25.1 | |
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building | 22.1 | |
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city | 20.8 | |
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architecture | 19.6 | |
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negative | 17.9 | |
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art | 17.6 | |
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vintage | 16.5 | |
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grunge | 16.2 | |
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black | 15.6 | |
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film | 15.5 | |
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history | 15.2 | |
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urban | 14.8 | |
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glass | 14.8 | |
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antique | 14.7 | |
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establishment | 13.9 | |
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facade | 13.4 | |
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house | 13.4 | |
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historic | 12.8 | |
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framework | 12.1 | |
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ancient | 12.1 | |
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wall | 12 | |
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texture | 11.8 | |
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dirty | 10.8 | |
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retro | 10.6 | |
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structure | 10.5 | |
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historical | 10.3 | |
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office | 10.3 | |
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design | 10.1 | |
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frame | 10 | |
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paint | 10 | |
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travel | 9.9 | |
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tourism | 9.1 | |
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decoration | 8.8 | |
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graphic | 8.8 | |
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man | 8.7 | |
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light | 8.7 | |
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supporting structure | 8.4 | |
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symbol | 8.1 | |
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door | 8 | |
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water | 8 | |
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home | 8 | |
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interior | 8 | |
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boutique | 7.7 | |
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culture | 7.7 | |
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sculpture | 7.6 | |
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decorative | 7.5 | |
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photographic paper | 7.5 | |
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monument | 7.5 | |
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silhouette | 7.4 | |
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street | 7.4 | |
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business | 7.3 | |
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people | 7.2 | |
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aged | 7.2 | |
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night | 7.1 | |
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sky | 7 | |
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Google
created on 2019-05-30
Photograph | 96.7 | |
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Photographic paper | 94 | |
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Snapshot | 87.4 | |
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Black-and-white | 80.7 | |
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Photography | 78.4 | |
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Photograph album | 76 | |
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Room | 74.4 | |
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Album | 69 | |
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Art | 65.5 | |
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Picture frame | 64.8 | |
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Interior design | 50.1 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 45-65 |
Gender | Female, 53.4% |
Angry | 46.1% |
Surprised | 45.2% |
Confused | 45.3% |
Calm | 48% |
Happy | 47.6% |
Disgusted | 45.1% |
Sad | 47.7% |

AWS Rekognition
Age | 45-63 |
Gender | Male, 54.7% |
Confused | 45.5% |
Happy | 46.7% |
Surprised | 47.7% |
Calm | 49.3% |
Sad | 45.3% |
Angry | 45.3% |
Disgusted | 45.2% |

AWS Rekognition
Age | 35-55 |
Gender | Male, 50.5% |
Sad | 49.6% |
Angry | 49.6% |
Disgusted | 49.6% |
Calm | 49.9% |
Confused | 49.7% |
Happy | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.4% |
Angry | 49.5% |
Disgusted | 49.5% |
Happy | 49.5% |
Sad | 50.2% |
Calm | 49.7% |
Surprised | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 35-53 |
Gender | Male, 50.2% |
Confused | 49.6% |
Happy | 49.5% |
Surprised | 49.6% |
Calm | 49.8% |
Sad | 49.8% |
Angry | 49.6% |
Disgusted | 49.6% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 50.4% |
Confused | 49.5% |
Sad | 49.7% |
Calm | 49.6% |
Surprised | 49.5% |
Disgusted | 49.6% |
Angry | 50% |
Happy | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.2% |
Happy | 49.5% |
Confused | 49.5% |
Calm | 49.5% |
Angry | 50.4% |
Sad | 49.5% |
Disgusted | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 26-44 |
Gender | Female, 50.2% |
Surprised | 49.5% |
Calm | 49.6% |
Happy | 49.6% |
Confused | 49.5% |
Sad | 50.1% |
Disgusted | 49.5% |
Angry | 49.7% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.3% |
Sad | 49.8% |
Happy | 49.6% |
Disgusted | 49.9% |
Surprised | 49.5% |
Calm | 49.5% |
Angry | 49.6% |
Confused | 49.6% |

AWS Rekognition
Age | 48-68 |
Gender | Female, 50.1% |
Angry | 49.5% |
Sad | 50.3% |
Surprised | 49.5% |
Confused | 49.5% |
Happy | 49.5% |
Calm | 49.5% |
Disgusted | 49.6% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 50% |
Surprised | 49.5% |
Disgusted | 49.7% |
Confused | 49.6% |
Happy | 49.6% |
Angry | 49.6% |
Calm | 49.7% |
Sad | 49.8% |

AWS Rekognition
Age | 35-55 |
Gender | Male, 50.4% |
Disgusted | 50.4% |
Happy | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |
Calm | 49.5% |
Angry | 49.6% |
Sad | 49.5% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.3% |
Angry | 49.6% |
Confused | 49.5% |
Disgusted | 49.5% |
Surprised | 49.5% |
Happy | 49.5% |
Calm | 49.5% |
Sad | 50.3% |

AWS Rekognition
Age | 12-22 |
Gender | Female, 50% |
Disgusted | 49.8% |
Angry | 49.8% |
Surprised | 49.5% |
Confused | 49.5% |
Happy | 49.6% |
Sad | 49.6% |
Calm | 49.7% |

Microsoft Cognitive Services
Age | 70 |
Gender | Male |

Microsoft Cognitive Services
Age | 59 |
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 | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 98.7% | |
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streetview architecture | 1.2% | |
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Captions
Microsoft
created on 2019-05-30
a group of people standing in front of a building | 82.1% | |
| ||
a group of people standing in front of a store | 72.8% | |
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a group of people posing for a photo in front of a store | 65.8% | |
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Text analysis

NCORE

NCORE