Machine Generated Data
Tags
Amazon
created on 2019-06-04
Clarifai
created on 2019-06-04
people | 99.9 | |
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many | 99.7 | |
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group together | 98.9 | |
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group | 98.4 | |
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military | 95.5 | |
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adult | 95.5 | |
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man | 95.4 | |
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crowd | 94.3 | |
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vehicle | 92.1 | |
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transportation system | 91.4 | |
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war | 87.7 | |
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woman | 82.8 | |
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wear | 82.7 | |
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administration | 79.4 | |
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railway | 78 | |
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soldier | 77.5 | |
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recreation | 77.3 | |
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uniform | 76.9 | |
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aircraft | 75.4 | |
| ||
several | 71.1 | |
|
Imagga
created on 2019-06-04
net | 31.1 | |
| ||
volleyball net | 29.4 | |
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sport | 28.5 | |
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city | 24.1 | |
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game equipment | 20.4 | |
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urban | 20.1 | |
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travel | 19.7 | |
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architecture | 19.5 | |
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facility | 18.5 | |
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building | 17.4 | |
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people | 17.3 | |
| ||
business | 15.8 | |
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transportation | 15.2 | |
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station | 15.2 | |
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man | 14.8 | |
| ||
construction | 14.5 | |
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men | 13.7 | |
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gymnasium | 13.6 | |
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equipment | 13.5 | |
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old | 13.2 | |
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male | 12.8 | |
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athletic facility | 12.7 | |
| ||
transport | 11.9 | |
| ||
crowd | 11.5 | |
| ||
sky | 11.5 | |
| ||
structure | 11.4 | |
| ||
wall | 11.1 | |
| ||
competition | 11 | |
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active | 10.9 | |
| ||
tourist | 10.9 | |
| ||
train | 10.7 | |
| ||
motion | 10.3 | |
| ||
support | 10.3 | |
| ||
athlete | 10.2 | |
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industrial | 10 | |
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new | 9.7 | |
| ||
success | 9.6 | |
| ||
design | 9.6 | |
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boy | 9.6 | |
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batting cage | 9.5 | |
| ||
day | 9.4 | |
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industry | 9.4 | |
| ||
house | 9.2 | |
| ||
sketch | 9.2 | |
| ||
speed | 9.1 | |
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speedway | 9 | |
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history | 8.9 | |
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game | 8.9 | |
| ||
ball | 8.9 | |
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subway | 8.9 | |
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baseball equipment | 8.8 | |
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scene | 8.6 | |
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work | 8.6 | |
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hall | 8.6 | |
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plan | 8.5 | |
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drawing | 8.5 | |
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town | 8.3 | |
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action | 8.3 | |
| ||
leisure | 8.3 | |
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street | 8.3 | |
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racetrack | 8.2 | |
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exercise | 8.2 | |
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group | 8.1 | |
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lifestyle | 7.9 | |
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businessman | 7.9 | |
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afghan hound | 7.9 | |
| ||
trainer | 7.9 | |
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black | 7.8 | |
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player | 7.6 | |
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sports equipment | 7.6 | |
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walking | 7.6 | |
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center | 7.6 | |
| ||
journey | 7.5 | |
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silhouette | 7.4 | |
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tourism | 7.4 | |
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line | 7.3 | |
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office | 7.2 | |
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team | 7.2 | |
| ||
paper | 7 | |
| ||
modern | 7 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.5% |
Disgusted | 49.5% |
Sad | 50.5% |
Calm | 49.5% |
Surprised | 49.5% |
Confused | 49.5% |
Angry | 49.5% |
Happy | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.2% |
Confused | 49.5% |
Disgusted | 50.2% |
Sad | 49.5% |
Surprised | 49.5% |
Calm | 49.6% |
Happy | 49.5% |
Angry | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.1% |
Angry | 49.6% |
Sad | 49.7% |
Surprised | 49.5% |
Confused | 49.5% |
Disgusted | 49.9% |
Happy | 49.6% |
Calm | 49.7% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.3% |
Calm | 49.5% |
Happy | 49.8% |
Disgusted | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |
Sad | 50.2% |
Angry | 49.5% |

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

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.4% |
Disgusted | 49.6% |
Confused | 49.5% |
Surprised | 49.5% |
Calm | 49.6% |
Happy | 49.5% |
Angry | 50.2% |
Sad | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50% |
Calm | 49.5% |
Sad | 49.6% |
Surprised | 49.5% |
Confused | 49.6% |
Angry | 49.6% |
Disgusted | 50.1% |
Happy | 49.5% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 50.2% |
Disgusted | 49.6% |
Sad | 49.8% |
Calm | 49.8% |
Surprised | 49.5% |
Confused | 49.5% |
Angry | 49.6% |
Happy | 49.6% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.5% |
Sad | 50.4% |
Disgusted | 49.5% |
Surprised | 49.5% |
Angry | 49.5% |
Happy | 49.5% |
Calm | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.5% |
Confused | 49.5% |
Sad | 50.2% |
Angry | 49.5% |
Disgusted | 49.5% |
Calm | 49.5% |
Surprised | 49.5% |
Happy | 49.8% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50% |
Disgusted | 49.6% |
Calm | 49.5% |
Happy | 49.6% |
Angry | 49.5% |
Sad | 50.2% |
Confused | 49.5% |
Surprised | 49.5% |

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

AWS Rekognition
Age | 14-25 |
Gender | Female, 50.5% |
Calm | 49.5% |
Angry | 49.5% |
Happy | 49.5% |
Sad | 50.5% |
Disgusted | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 12-22 |
Gender | Female, 50.3% |
Confused | 49.5% |
Angry | 49.6% |
Calm | 49.7% |
Disgusted | 49.8% |
Sad | 49.7% |
Happy | 49.6% |
Surprised | 49.5% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 50.4% |
Happy | 49.6% |
Surprised | 49.6% |
Calm | 49.5% |
Confused | 49.5% |
Disgusted | 49.7% |
Angry | 49.8% |
Sad | 49.7% |
Feature analysis
Categories
Imagga
streetview architecture | 99.2% | |
|
Captions
Microsoft
created on 2019-06-04
a group of people standing in front of a building | 83.3% | |
| ||
a group of people standing outside of a building | 83.1% | |
| ||
a group of people standing next to a building | 82% | |
|
Text analysis
Amazon

MAY

MAY 171902 5153

5153

ROOE-PLAYGROUND.

coS

5A.

171902

P.544MANHATTAN

5A. BOYS.

BOYS.

e1os
WW
VAX
e.S49MANHATTAN
RooF-PLAYGROUND.
5A. BOYS.
S153
MAY 111003

WW

VAX

S153

111003

e1os

e.S49MANHATTAN

RooF-PLAYGROUND.

5A.

BOYS.

MAY