Machine Generated Data
Tags
Amazon
created on 2019-06-04
Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
furniture | 43.4 | |
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crib | 31.5 | |
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baby bed | 30.6 | |
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interior | 30.1 | |
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carton | 27.9 | |
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box | 27.3 | |
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house | 26.7 | |
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room | 26.5 | |
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home | 26.3 | |
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container | 25.2 | |
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design | 22 | |
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furnishing | 21.5 | |
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empty | 20.6 | |
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paper | 20.5 | |
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wall | 18.5 | |
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modern | 18.2 | |
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glass | 16.5 | |
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architecture | 15.7 | |
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old | 15.3 | |
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new | 14.6 | |
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decor | 14.1 | |
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floor | 13.9 | |
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blank | 13.7 | |
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bedroom | 13.2 | |
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3d | 13.2 | |
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frame | 13 | |
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wood | 12.5 | |
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vintage | 12.4 | |
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indoors | 12.3 | |
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sketch | 11.5 | |
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apartment | 11.5 | |
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retro | 11.5 | |
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drawing | 11.2 | |
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luxury | 11.1 | |
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object | 11 | |
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domestic | 10.9 | |
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light | 10.7 | |
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window | 10.5 | |
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brown | 10.3 | |
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decoration | 10.3 | |
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grunge | 10.2 | |
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inside | 10.1 | |
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structure | 10 | |
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lamp | 9.7 | |
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metal | 9.7 | |
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table | 9.4 | |
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construction | 9.4 | |
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panel | 9.4 | |
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space | 9.3 | |
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art | 9.1 | |
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bed | 8.5 | |
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book | 8.4 | |
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antique | 8.2 | |
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framework | 8.1 | |
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building | 7.9 | |
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tile | 7.9 | |
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card | 7.7 | |
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residential | 7.7 | |
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marble | 7.6 | |
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pillow | 7.6 | |
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style | 7.4 | |
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reflection | 7.3 | |
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indoor | 7.3 | |
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border | 7.2 | |
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open | 7.2 | |
|
Google
created on 2019-06-04
Photograph | 96.2 | |
| ||
Text | 91.9 | |
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Room | 86.8 | |
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Snapshot | 86.4 | |
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Photographic paper | 70.1 | |
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Font | 68.6 | |
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Photography | 67.8 | |
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Adaptation | 67 | |
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Art | 62.5 | |
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Stock photography | 62.1 | |
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Collection | 58.5 | |
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Black-and-white | 56.4 | |
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Interior design | 54.3 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 11-18 |
Gender | Female, 54.3% |
Happy | 45% |
Disgusted | 45.3% |
Surprised | 45% |
Sad | 45.6% |
Confused | 45% |
Angry | 54% |
Calm | 45% |

AWS Rekognition
Age | 9-14 |
Gender | Female, 50.4% |
Confused | 49.5% |
Sad | 50.4% |
Surprised | 49.5% |
Happy | 49.5% |
Angry | 49.5% |
Disgusted | 49.5% |
Calm | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 55% |
Sad | 46.7% |
Happy | 46.5% |
Surprised | 46.1% |
Disgusted | 46.8% |
Angry | 45.6% |
Calm | 47.9% |
Confused | 45.4% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.3% |
Disgusted | 49.5% |
Happy | 49.6% |
Calm | 49.8% |
Angry | 49.5% |
Confused | 49.5% |
Sad | 49.8% |
Surprised | 49.6% |

AWS Rekognition
Age | 4-9 |
Gender | Female, 50.2% |
Happy | 49.5% |
Angry | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |
Sad | 50.5% |
Calm | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Surprised | 49.5% |
Sad | 49.7% |
Happy | 49.8% |
Disgusted | 49.5% |
Confused | 49.6% |
Calm | 49.6% |
Angry | 49.7% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.4% |
Surprised | 49.5% |
Confused | 49.5% |
Happy | 49.5% |
Angry | 50.5% |
Disgusted | 49.5% |
Sad | 49.5% |
Calm | 49.5% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 50.5% |
Calm | 49.5% |
Confused | 49.5% |
Happy | 50% |
Sad | 49.8% |
Surprised | 49.5% |
Disgusted | 49.5% |
Angry | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Angry | 49.7% |
Calm | 49.6% |
Confused | 49.5% |
Disgusted | 49.6% |
Happy | 49.6% |
Sad | 50% |
Surprised | 49.5% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.4% |
Confused | 49.6% |
Angry | 49.8% |
Happy | 49.5% |
Sad | 49.9% |
Disgusted | 49.6% |
Surprised | 49.5% |
Calm | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.5% |
Disgusted | 49.6% |
Angry | 49.6% |
Sad | 49.7% |
Surprised | 49.5% |
Happy | 49.9% |
Calm | 49.6% |
Confused | 49.6% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.4% |
Confused | 49.7% |
Angry | 49.6% |
Surprised | 49.5% |
Sad | 49.7% |
Disgusted | 49.7% |
Calm | 49.7% |
Happy | 49.6% |

AWS Rekognition
Age | 38-59 |
Gender | Female, 50.5% |
Disgusted | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |
Calm | 49.5% |
Happy | 49.5% |
Angry | 49.5% |
Sad | 50.3% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Angry | 49.5% |
Surprised | 49.5% |
Disgusted | 49.7% |
Happy | 49.5% |
Sad | 50.1% |
Confused | 49.6% |
Calm | 49.5% |

AWS Rekognition
Age | 27-44 |
Gender | Male, 50.2% |
Calm | 49.6% |
Surprised | 49.6% |
Disgusted | 49.6% |
Confused | 49.5% |
Happy | 49.7% |
Angry | 49.7% |
Sad | 49.8% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.3% |
Calm | 49.7% |
Happy | 49.5% |
Sad | 49.8% |
Surprised | 49.6% |
Disgusted | 49.6% |
Angry | 49.7% |
Confused | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Angry | 49.5% |
Happy | 49.7% |
Disgusted | 49.6% |
Confused | 49.5% |
Surprised | 49.5% |
Sad | 50.1% |
Calm | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.5% |
Disgusted | 50% |
Sad | 49.7% |
Calm | 49.5% |
Surprised | 49.6% |
Confused | 49.6% |
Angry | 49.6% |
Happy | 49.5% |
Feature analysis
Categories
Imagga
paintings art | 98.1% | |
| ||
interior objects | 1.1% | |
|
Captions
Text analysis
Amazon

Regulation

United

City

Immigrant

Entry

York

Port

States

the

New

Regulation of Immigratiop at the Port of Entry

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of

Station.

Immigratiop

Sarh Immigrant Station. New City

United States < mmiy York

35.73.2.

Ra 35.73.2.

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Regulation of Immigration at the Port of Entry
us. Tmmi rant
nited States Immigrant Station, New York City
NYS
THE MEDICAL, EXAMINATION

Ra

3s,73.2.8

of

Immigration

at

the

rant

City

Regulation

Port

Entry

us.

Tmmi

nited

States

Immigrant

Station,

New

York

NYS

THE

MEDICAL,

EXAMINATION