Machine Generated Data
Tags
Amazon
created on 2019-03-25
Human | 99.8 | |
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Person | 99.8 | |
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Clothing | 99.6 | |
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Apparel | 99.6 | |
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Person | 99.6 | |
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Person | 98.9 | |
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Person | 98.9 | |
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Cake | 98.7 | |
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Food | 98.7 | |
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Dessert | 98.7 | |
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Helmet | 95.1 | |
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Wedding Cake | 94.8 | |
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Person | 92.8 | |
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Fashion | 86.3 | |
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Robe | 86.3 | |
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Person | 86.1 | |
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Gown | 82.3 | |
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Person | 81.3 | |
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Accessory | 78.7 | |
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Tie | 78.7 | |
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Accessories | 78.7 | |
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Wedding | 78 | |
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Wedding Gown | 70.3 | |
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Tie | 66.9 | |
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Icing | 62.3 | |
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Cream | 62.3 | |
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Creme | 62.3 | |
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Face | 62.3 | |
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Birthday Cake | 59.3 | |
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Bride | 56.8 | |
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Clarifai
created on 2019-03-25
Imagga
created on 2019-03-25
Google
created on 2019-03-25
Photograph | 97.6 | |
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Cake decorating | 90.9 | |
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Cake | 90 | |
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Icing | 88.8 | |
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Snapshot | 85.8 | |
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Black-and-white | 78.1 | |
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Pasteles | 76.8 | |
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Food | 70.8 | |
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Anniversary | 70.8 | |
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Photography | 70.6 | |
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Dessert | 70.1 | |
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Wedding ceremony supply | 70 | |
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Dress | 69.4 | |
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Torte | 67.4 | |
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Event | 67 | |
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Stock photography | 66.6 | |
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Buttercream | 66.2 | |
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Baked goods | 65.8 | |
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Monochrome photography | 64.7 | |
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Wedding dress | 64.5 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 23-38 |
Gender | Male, 98.3% |
Disgusted | 2.2% |
Confused | 9% |
Surprised | 6.4% |
Angry | 5.6% |
Happy | 9.2% |
Sad | 19.5% |
Calm | 48.1% |

AWS Rekognition
Age | 45-63 |
Gender | Male, 98.8% |
Sad | 0.4% |
Surprised | 0.4% |
Disgusted | 0.2% |
Happy | 98.1% |
Angry | 0.4% |
Confused | 0.4% |
Calm | 0% |

AWS Rekognition
Age | 10-15 |
Gender | Female, 88.2% |
Calm | 4.9% |
Sad | 16.6% |
Surprised | 7% |
Confused | 3.2% |
Happy | 52.8% |
Angry | 7.5% |
Disgusted | 7.9% |

AWS Rekognition
Age | 57-77 |
Gender | Male, 54.6% |
Calm | 48.7% |
Disgusted | 45.5% |
Confused | 45.8% |
Happy | 46.4% |
Surprised | 45.4% |
Angry | 45.5% |
Sad | 47.7% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 54.1% |
Surprised | 45.1% |
Angry | 45.2% |
Disgusted | 47% |
Calm | 48.5% |
Sad | 48.8% |
Confused | 45.3% |
Happy | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 52.8% |
Sad | 51.6% |
Angry | 45.4% |
Surprised | 45.2% |
Happy | 46.8% |
Calm | 45.8% |
Confused | 45.1% |
Disgusted | 45.1% |

Microsoft Cognitive Services
Age | 62 |
Gender | Male |

Microsoft Cognitive Services
Age | 30 |
Gender | Female |

Microsoft Cognitive Services
Age | 33 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
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
paintings art | 50.3% | |
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people portraits | 44% | |
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streetview architecture | 1.8% | |
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pets animals | 1.4% | |
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nature landscape | 1.3% | |
|
Captions
Microsoft
created on 2019-03-25
Alben W. Barkley et al. standing in front of a wedding cake | 89.4% | |
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Alben W. Barkley standing in front of a wedding cake | 89.3% | |
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Alben W. Barkley standing in front of a wedding cake | 89.2% | |
|
Text analysis
Amazon

SCHWEIC

MARTIN SCHWEIC

MARTIN

SAINT

SAINT LOUIS

LOUIS

MARTIN SCHWEIc
SAINT LOUIS

MARTIN

SCHWEIc

SAINT

LOUIS