Machine Generated Data
Tags
Amazon
created on 2019-06-04
Clothing | 99.1 | |
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Apparel | 99.1 | |
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Person | 98.7 | |
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Human | 98.7 | |
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Person | 96.3 | |
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Person | 94.6 | |
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Person | 93.1 | |
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Person | 92.1 | |
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Person | 87.2 | |
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Person | 85.6 | |
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Fashion | 82.1 | |
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Robe | 82.1 | |
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Gown | 73.3 | |
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Person | 67.6 | |
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Face | 65.4 | |
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Person | 64.7 | |
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People | 64.6 | |
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Wedding | 64 | |
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Person | 63.4 | |
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Female | 63.1 | |
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Nurse | 59 | |
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Wedding Gown | 58.1 | |
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Furniture | 56.5 | |
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Girl | 55.6 | |
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Photo | 55.1 | |
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Photography | 55.1 | |
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Evening Dress | 55.1 | |
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Person | 48.9 | |
|
Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
sketch | 83 | |
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drawing | 66.1 | |
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representation | 52.5 | |
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grunge | 15.3 | |
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art | 14.8 | |
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paper | 14.2 | |
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old | 13.2 | |
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vintage | 12.4 | |
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graphic | 12.4 | |
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design | 12.4 | |
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symbol | 12.1 | |
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clothing | 11.5 | |
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style | 11.1 | |
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texture | 11.1 | |
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outfit | 10.9 | |
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silhouette | 10.8 | |
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people | 10.6 | |
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elegance | 10.1 | |
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person | 10 | |
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dirty | 9.9 | |
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decoration | 9.8 | |
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blank | 9.4 | |
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holiday | 9.3 | |
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portrait | 9.1 | |
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fashion | 9 | |
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sign | 9 | |
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black | 9 | |
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celebration | 8.8 | |
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gift | 8.6 | |
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space | 8.5 | |
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business | 8.5 | |
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life | 8.4 | |
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retro | 8.2 | |
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paint | 8.1 | |
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dress | 8.1 | |
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backgrounds | 8.1 | |
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women | 7.9 | |
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artistic | 7.8 | |
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attractive | 7.7 | |
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adult | 7.4 | |
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bag | 7.4 | |
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note | 7.3 | |
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boutique | 7.3 | |
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present | 7.3 | |
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antique | 7.1 | |
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autumn | 7 | |
|
Google
created on 2019-06-04
Photograph | 97.2 | |
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Text | 93.2 | |
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Snapshot | 87.4 | |
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Adaptation | 74.1 | |
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Room | 65.7 | |
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Photography | 62.4 | |
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Stock photography | 62.1 | |
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Collection | 52.1 | |
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Family | 51 | |
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Art | 50.2 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 26-43 |
Gender | Female, 54.4% |
Angry | 52.2% |
Surprised | 45.1% |
Disgusted | 45.5% |
Happy | 45.2% |
Sad | 46% |
Confused | 45.3% |
Calm | 45.5% |

AWS Rekognition
Age | 38-59 |
Gender | Female, 54% |
Sad | 45.8% |
Angry | 53.7% |
Happy | 45.1% |
Confused | 45.1% |
Surprised | 45.1% |
Disgusted | 45.1% |
Calm | 45.1% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 51.1% |
Surprised | 45.1% |
Sad | 52.8% |
Happy | 45% |
Disgusted | 45.2% |
Confused | 45.3% |
Calm | 45.6% |
Angry | 46.1% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 54.2% |
Sad | 45.2% |
Confused | 45.2% |
Angry | 45.4% |
Happy | 45.3% |
Calm | 45.3% |
Surprised | 45.1% |
Disgusted | 53.4% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.8% |
Surprised | 45.4% |
Confused | 45.6% |
Happy | 45.1% |
Angry | 45.6% |
Disgusted | 45.2% |
Sad | 46% |
Calm | 52.1% |

AWS Rekognition
Age | 48-68 |
Gender | Male, 51.8% |
Sad | 49.2% |
Disgusted | 45.2% |
Surprised | 45.1% |
Happy | 45.2% |
Confused | 45.3% |
Angry | 45.4% |
Calm | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 54% |
Happy | 45% |
Disgusted | 45% |
Surprised | 45% |
Sad | 53.9% |
Confused | 45.1% |
Angry | 45.7% |
Calm | 45.1% |

AWS Rekognition
Age | 48-68 |
Gender | Male, 54% |
Surprised | 45.2% |
Confused | 45.8% |
Happy | 45.2% |
Angry | 45.6% |
Disgusted | 45.2% |
Sad | 51.7% |
Calm | 46.4% |

AWS Rekognition
Age | 35-55 |
Gender | Male, 52.1% |
Angry | 45.3% |
Happy | 45.1% |
Disgusted | 45.1% |
Sad | 52.8% |
Confused | 45.5% |
Calm | 46.1% |
Surprised | 45.1% |

AWS Rekognition
Age | 45-65 |
Gender | Male, 50.1% |
Surprised | 49.5% |
Angry | 49.5% |
Happy | 49.5% |
Sad | 50.4% |
Calm | 49.5% |
Confused | 49.5% |
Disgusted | 49.5% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 54.5% |
Happy | 50.9% |
Disgusted | 45.2% |
Sad | 45.7% |
Confused | 45.3% |
Angry | 45.2% |
Surprised | 45.2% |
Calm | 47.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 51.3% |
Sad | 49.5% |
Happy | 45.2% |
Surprised | 45.2% |
Disgusted | 45.3% |
Angry | 46.8% |
Calm | 47.8% |
Confused | 45.2% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.4% |
Angry | 49.6% |
Surprised | 49.5% |
Calm | 49.6% |
Sad | 50.2% |
Happy | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.4% |
Calm | 49.3% |
Happy | 45.4% |
Confused | 45.5% |
Angry | 46% |
Disgusted | 45.2% |
Surprised | 45.2% |
Sad | 48.3% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 54.9% |
Confused | 45.3% |
Disgusted | 45.4% |
Sad | 46.5% |
Surprised | 45.5% |
Calm | 45.3% |
Happy | 51.6% |
Angry | 45.4% |

AWS Rekognition
Age | 60-90 |
Gender | Female, 50.3% |
Angry | 49.5% |
Sad | 50.4% |
Happy | 49.5% |
Confused | 49.5% |
Calm | 49.5% |
Disgusted | 49.5% |
Surprised | 49.5% |
Feature analysis
Categories
Imagga
paintings art | 65.7% | |
| ||
text visuals | 32.4% | |
|
Captions
Microsoft
created on 2019-06-04
a group of people posing for a photo | 66.4% | |
| ||
a group of people posing for the camera | 66.3% | |
| ||
a group of people posing for a picture | 66.2% | |
|
Text analysis
Amazon

Regulation

United

Entry

Port

New

York

the

City

Immigration

Regulation of Immigration at the Port of Entry

United States New York

of

Immigrant

Immigrant Station, City

Station,

at

States

MISONARES

Regulation of Immigration at the Port of Entry
United States Immigrant Station, New York City
MISSI0MARUES HLPINO DESTTUIE waMEN
CRPUP
RUSSIAN GUR1.5

Regulation

of

Immigration

at

the

Port

Entry

United

States

Immigrant

Station,

New

York

City

MISSI0MARUES

HLPINO

DESTTUIE

waMEN

CRPUP

RUSSIAN

GUR1.5