Machine Generated Data
Tags
Amazon
created on 2019-06-07
Mammal | 99.2 | |
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Horse | 99.2 | |
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Animal | 99.2 | |
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Transportation | 98.1 | |
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Carriage | 98.1 | |
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Vehicle | 98.1 | |
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Horse | 97.4 | |
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Horse | 97.4 | |
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Human | 95.1 | |
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Person | 95.1 | |
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Wagon | 95.1 | |
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Machine | 94.4 | |
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Wheel | 94.4 | |
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Wheel | 90.4 | |
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Person | 89 | |
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Person | 86.7 | |
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Person | 86.7 | |
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Horse Cart | 85.6 | |
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Horse | 83.4 | |
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Person | 80.7 | |
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Horse | 80.3 | |
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Horse | 75.9 | |
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Person | 66.7 | |
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Person | 64 | |
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Person | 63.9 | |
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Horse | 63.5 | |
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Horse | 61.8 | |
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Funeral | 56.3 | |
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Wheel | 55.9 | |
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Wheel | 52.5 | |
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Person | 49.3 | |
|
Clarifai
created on 2019-06-07
people | 99.9 | |
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cavalry | 99.4 | |
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many | 98.8 | |
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carriage | 98.2 | |
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adult | 98.1 | |
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group | 97.8 | |
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transportation system | 97.7 | |
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man | 96.8 | |
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group together | 96.2 | |
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street | 95.4 | |
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crowd | 94 | |
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military | 93.2 | |
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wagon | 92.7 | |
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vehicle | 92.4 | |
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war | 92.1 | |
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90.5 | ||
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monochrome | 87.7 | |
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illustration | 87.6 | |
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cart | 84.4 | |
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soldier | 83.8 | |
|
Imagga
created on 2019-06-07
city | 34.9 | |
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architecture | 34.7 | |
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building | 32.6 | |
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street | 27.6 | |
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old | 25.8 | |
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plow | 22.9 | |
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device | 22.3 | |
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travel | 21.8 | |
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urban | 19.2 | |
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structure | 18.8 | |
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bridge | 18.8 | |
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sky | 18.6 | |
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tool | 17.9 | |
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ancient | 17.3 | |
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machine | 17.3 | |
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window | 16.5 | |
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house | 16.1 | |
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tourism | 15.7 | |
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industrial | 14.5 | |
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lamp | 14.3 | |
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pile driver | 14.1 | |
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historic | 13.7 | |
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track | 13.4 | |
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wall | 13.2 | |
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town | 13 | |
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wheeled vehicle | 12.9 | |
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construction | 12.8 | |
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industry | 12.8 | |
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road | 12.6 | |
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transportation | 12.6 | |
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tower | 12.5 | |
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snow | 12.4 | |
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buildings | 12.3 | |
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exterior | 12 | |
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history | 11.6 | |
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support | 11.5 | |
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train | 11.5 | |
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car | 11.3 | |
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winter | 11.1 | |
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vehicle | 10.9 | |
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vintage | 10.8 | |
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water | 10.7 | |
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stone | 10.2 | |
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river | 9.9 | |
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landmark | 9.9 | |
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narrow | 9.8 | |
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railroad | 9.8 | |
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rail | 9.8 | |
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railway | 9.8 | |
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pier | 9.8 | |
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outdoors | 9.7 | |
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houses | 9.7 | |
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scene | 9.5 | |
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iron | 9.3 | |
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brick | 8.8 | |
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summer | 8.4 | |
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crane | 8.3 | |
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transport | 8.2 | |
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landscape | 8.2 | |
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new | 8.1 | |
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metal | 8 | |
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light | 8 | |
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station | 7.9 | |
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windows | 7.7 | |
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outdoor | 7.6 | |
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cityscape | 7.6 | |
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passenger car | 7.6 | |
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steel | 7.5 | |
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railing | 7.5 | |
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church | 7.4 | |
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tourist | 7.3 | |
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aged | 7.2 | |
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tree | 7.2 | |
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antique | 7.1 | |
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day | 7.1 | |
|
Google
created on 2019-06-07
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 45-63 |
Gender | Female, 50.1% |
Confused | 49.6% |
Happy | 49.5% |
Angry | 49.8% |
Surprised | 49.6% |
Disgusted | 49.6% |
Calm | 49.6% |
Sad | 49.8% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.4% |
Disgusted | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |
Calm | 49.5% |
Happy | 49.5% |
Angry | 50.2% |
Sad | 49.7% |

AWS Rekognition
Age | 16-27 |
Gender | Male, 50.4% |
Angry | 49.5% |
Surprised | 49.5% |
Sad | 49.7% |
Happy | 49.5% |
Confused | 49.5% |
Calm | 50.2% |
Disgusted | 49.5% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.4% |
Calm | 49.5% |
Sad | 50% |
Surprised | 49.5% |
Angry | 49.6% |
Happy | 49.8% |
Disgusted | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 14-23 |
Gender | Female, 50.1% |
Confused | 49.5% |
Happy | 49.5% |
Angry | 49.5% |
Sad | 50.4% |
Calm | 49.5% |
Disgusted | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 16-27 |
Gender | Male, 50.2% |
Disgusted | 49.6% |
Angry | 50.1% |
Sad | 49.7% |
Surprised | 49.5% |
Confused | 49.5% |
Calm | 49.5% |
Happy | 49.5% |

AWS Rekognition
Age | 16-27 |
Gender | Male, 50.4% |
Surprised | 49.5% |
Angry | 49.7% |
Confused | 49.5% |
Calm | 49.5% |
Sad | 50.3% |
Happy | 49.5% |
Disgusted | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.2% |
Confused | 49.6% |
Happy | 49.6% |
Angry | 49.6% |
Sad | 50.2% |
Calm | 49.5% |
Disgusted | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.1% |
Happy | 49.6% |
Confused | 49.5% |
Surprised | 49.6% |
Calm | 50% |
Disgusted | 49.6% |
Sad | 49.6% |
Angry | 49.7% |

AWS Rekognition
Age | 15-25 |
Gender | Male, 50.4% |
Disgusted | 49.5% |
Surprised | 49.5% |
Confused | 49.5% |
Sad | 50.3% |
Calm | 49.5% |
Angry | 49.6% |
Happy | 49.5% |

AWS Rekognition
Age | 26-44 |
Gender | Male, 50.5% |
Calm | 49.9% |
Sad | 49.8% |
Surprised | 49.5% |
Angry | 49.6% |
Happy | 49.6% |
Disgusted | 49.5% |
Confused | 49.6% |

AWS Rekognition
Age | 19-36 |
Gender | Male, 50.4% |
Calm | 50% |
Confused | 49.6% |
Surprised | 49.5% |
Happy | 49.5% |
Disgusted | 49.5% |
Sad | 49.7% |
Angry | 49.7% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.1% |
Calm | 49.6% |
Happy | 49.6% |
Disgusted | 49.6% |
Surprised | 49.6% |
Sad | 49.9% |
Confused | 49.7% |
Angry | 49.6% |
Feature analysis
Categories
Imagga
streetview architecture | 73% | |
| ||
beaches seaside | 18.8% | |
| ||
paintings art | 6.5% | |
| ||
nature landscape | 1.4% | |
|
Captions
Microsoft
created on 2019-06-07
Text analysis
Amazon

PARIS

Pompiers

des

TOUT PARIS

TOUT

Depart

OLLECTION

Caserne

Rue

Haxo

de

FLEURY:

F.

Caserne des Pompiers de la Rue Haxo (xx* Arat)

Cou OLLECTION F. FLEURY:

la

Arat)

Cou

(xx*

TOUT

PARIS

des

Pompiers

de

la

Rue

Ua

Départ

COLLECTION-F.

FLEURY.

TOUT PARIS
4-CaserHe des Pompiers de la Rue Haxo (%X*Bret)
Ua Départ
COLLECTION-F. FLEURY.

4-CaserHe

Haxo

(%X*Bret)