Machine Generated Data
Tags
Amazon
created on 2019-06-04
Person | 97.6 | |
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Human | 97.6 | |
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Person | 96.6 | |
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Person | 96.3 | |
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Military Uniform | 95.8 | |
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Military | 95.8 | |
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Person | 94.8 | |
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Person | 85.1 | |
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Person | 82.2 | |
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Armored | 80 | |
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Army | 80 | |
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People | 79 | |
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Officer | 77.2 | |
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Soldier | 74.5 | |
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Poster | 68.6 | |
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Advertisement | 68.6 | |
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Person | 67.8 | |
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Person | 66.6 | |
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Crowd | 65.3 | |
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Collage | 61.4 | |
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Building | 59.2 | |
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Furniture | 59 | |
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Photo | 58.8 | |
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Photography | 58.8 | |
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Apparel | 57.2 | |
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Coat | 57.2 | |
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Suit | 57.2 | |
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Overcoat | 57.2 | |
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Clothing | 57.2 | |
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Indoors | 56.2 | |
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Room | 56.2 | |
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Cabinet | 55.5 | |
|
Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
wall | 25.9 | |
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house | 21.7 | |
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old | 20.9 | |
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building | 20.8 | |
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architecture | 18.9 | |
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grunge | 18.7 | |
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interior | 17.7 | |
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paper | 16.8 | |
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panel | 16.1 | |
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room | 15.5 | |
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home | 15.2 | |
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window | 14.5 | |
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texture | 13.9 | |
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ancient | 13.8 | |
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door | 13.6 | |
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vintage | 13.2 | |
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design | 12.9 | |
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case | 12.9 | |
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antique | 12.6 | |
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empty | 12 | |
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furniture | 11.8 | |
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aged | 11.8 | |
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decoration | 11.7 | |
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frame | 10.8 | |
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city | 10.8 | |
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light | 10.7 | |
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retro | 10.6 | |
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sketch | 10.6 | |
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travel | 10.6 | |
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drawing | 10.4 | |
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blackboard | 10.3 | |
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brown | 10.3 | |
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inside | 10.1 | |
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dirty | 9.9 | |
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structure | 9.8 | |
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decay | 9.6 | |
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style | 9.6 | |
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pattern | 9.6 | |
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bill | 9.5 | |
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blank | 9.4 | |
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finance | 9.3 | |
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business | 9.1 | |
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decor | 8.8 | |
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indoors | 8.8 | |
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textured | 8.8 | |
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space | 8.5 | |
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money | 8.5 | |
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glass | 8.3 | |
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bedroom | 8.3 | |
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tourism | 8.2 | |
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cash | 8.2 | |
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art | 8.2 | |
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currency | 8.1 | |
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bank | 8.1 | |
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shop | 7.9 | |
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wallpaper | 7.7 | |
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container | 7.6 | |
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exterior | 7.4 | |
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yellow | 7.3 | |
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financial | 7.1 | |
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surface | 7.1 | |
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modern | 7 | |
|
Google
created on 2019-06-04
Photograph | 97.2 | |
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Text | 90.3 | |
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Snapshot | 88.2 | |
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Room | 86.7 | |
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Adaptation | 74.1 | |
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Stock photography | 71.4 | |
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Photography | 70.6 | |
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Collection | 68.1 | |
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Art | 67.7 | |
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Photographic paper | 62.8 | |
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History | 57.6 | |
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Interior design | 54.3 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 30-47 |
Gender | Female, 53% |
Disgusted | 45.4% |
Happy | 49.2% |
Sad | 46.3% |
Calm | 46.3% |
Angry | 45.6% |
Confused | 45.7% |
Surprised | 46.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.6% |
Disgusted | 45% |
Surprised | 45% |
Angry | 45.1% |
Happy | 45% |
Calm | 45.1% |
Sad | 54.7% |
Confused | 45% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 52.5% |
Calm | 45.7% |
Confused | 45.5% |
Sad | 51% |
Angry | 47.4% |
Happy | 45.2% |
Disgusted | 45.1% |
Surprised | 45.1% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 54.4% |
Happy | 45.9% |
Angry | 46% |
Confused | 45.6% |
Disgusted | 45.7% |
Sad | 47.7% |
Calm | 48.1% |
Surprised | 46% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 51.1% |
Confused | 45.3% |
Angry | 45.5% |
Disgusted | 45.2% |
Surprised | 45.3% |
Sad | 49.7% |
Happy | 45.2% |
Calm | 48.8% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 52.1% |
Sad | 45.7% |
Disgusted | 51% |
Confused | 45.2% |
Calm | 45.8% |
Happy | 45.8% |
Surprised | 45.4% |
Angry | 46.2% |

AWS Rekognition
Age | 60-90 |
Gender | Female, 50.3% |
Happy | 49.5% |
Confused | 49.6% |
Surprised | 49.6% |
Angry | 49.6% |
Calm | 49.8% |
Sad | 50% |
Disgusted | 49.5% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.9% |
Angry | 45.2% |
Disgusted | 45.1% |
Sad | 54.1% |
Confused | 45.2% |
Happy | 45.1% |
Surprised | 45.1% |
Calm | 45.4% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 50.1% |
Disgusted | 49.6% |
Sad | 49.7% |
Surprised | 49.6% |
Calm | 49.7% |
Angry | 49.6% |
Happy | 49.6% |
Confused | 49.6% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.1% |
Disgusted | 49.5% |
Confused | 49.5% |
Happy | 49.5% |
Calm | 49.6% |
Surprised | 49.5% |
Sad | 50.3% |
Angry | 49.5% |

AWS Rekognition
Age | 4-7 |
Gender | Female, 54.7% |
Happy | 45.2% |
Angry | 46.1% |
Calm | 46% |
Disgusted | 45.8% |
Sad | 51% |
Confused | 45.6% |
Surprised | 45.3% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 52.8% |
Angry | 52.5% |
Calm | 45.4% |
Sad | 46.2% |
Confused | 45.3% |
Disgusted | 45.3% |
Happy | 45.1% |
Surprised | 45.2% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.4% |
Calm | 50.2% |
Sad | 49.5% |
Confused | 49.5% |
Happy | 49.5% |
Angry | 49.5% |
Surprised | 49.5% |
Disgusted | 49.7% |
Feature analysis
Categories
Imagga
paintings art | 57.3% | |
| ||
interior objects | 31.1% | |
| ||
text visuals | 6.2% | |
| ||
food drinks | 4.5% | |
|
Captions
Microsoft
created on 2019-06-04
a close up of a box | 35.5% | |
|
Text analysis
Amazon

United

Entry

Port

City

Immigrant

Regulation

the

New

Regulation of Immigration at the Port of Entry

York

States

of

United States Immigrant Etation, New York City

Immigration

at

Etation,

5R1r.

Port

of

Regulation of Immigration at the Port of Entry
United States Immigrantstation, New York City
ETAINED AT TE MOAL GATE-WAY, PENDNG TURTHER JNVESTIGATION
womeNS DETAINED OOMWRITIMG TME PIRST LETTER HOME

Regulation

Immigration

at

the

Entry

United

States

Immigrantstation,

New

York

City

ETAINED

AT

TE

MOAL

GATE-WAY,

PENDNG

TURTHER

JNVESTIGATION

womeNS

DETAINED

OOMWRITIMG

TME

PIRST

LETTER

HOME