Machine Generated Data
Tags
Amazon
created on 2019-06-07
Person | 99.7 | |
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Human | 99.7 | |
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Person | 99.6 | |
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Person | 99.6 | |
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Person | 99.3 | |
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Person | 98.9 | |
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Person | 98.4 | |
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Building | 98.1 | |
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Person | 96.7 | |
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Person | 94.8 | |
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Person | 93.5 | |
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Factory | 93.4 | |
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Person | 89.4 | |
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Person | 88.4 | |
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Person | 88.1 | |
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Person | 86.4 | |
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Wildlife | 86.4 | |
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Animal | 86.4 | |
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Mammal | 86.4 | |
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Elephant | 86.4 | |
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Person | 82.8 | |
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Assembly Line | 82 | |
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Person | 81 | |
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Person | 80.8 | |
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Person | 78.9 | |
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Person | 78.6 | |
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Person | 75.5 | |
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Person | 68 | |
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Prison | 62.1 | |
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Sailor Suit | 57.8 | |
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Crowd | 56 | |
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Person | 51 | |
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Person | 42.3 | |
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Clarifai
created on 2019-06-07
Imagga
created on 2019-06-07
game equipment | 56.1 | |
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volleyball | 53.3 | |
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ball | 46.1 | |
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equipment | 33.9 | |
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volleyball net | 32.6 | |
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net | 27.8 | |
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sport | 24.4 | |
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man | 21.5 | |
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people | 20.6 | |
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beach | 18.5 | |
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male | 17 | |
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sunset | 15.3 | |
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clothing | 15.2 | |
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silhouette | 14.9 | |
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vacation | 13.9 | |
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adult | 13.6 | |
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walking | 13.3 | |
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outdoor | 13 | |
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person | 13 | |
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travel | 12.7 | |
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sand | 12.2 | |
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water | 12 | |
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outdoors | 11.9 | |
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active | 11.8 | |
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ocean | 11.6 | |
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lifestyle | 11.6 | |
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landscape | 11.1 | |
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winter | 11.1 | |
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sea | 10.9 | |
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snow | 10.9 | |
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sun | 10.5 | |
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fitness | 9.9 | |
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life | 9.9 | |
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posing | 9.8 | |
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portrait | 9.7 | |
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summer | 9.6 | |
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couple | 9.6 | |
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sky | 9.6 | |
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color | 9.4 | |
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motion | 9.4 | |
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athlete | 9.1 | |
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tourist | 9.1 | |
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walk | 8.6 | |
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sunrise | 8.4 | |
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basketball | 8.4 | |
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leisure | 8.3 | |
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street | 8.3 | |
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sports equipment | 8.2 | |
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exercise | 8.2 | |
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covering | 8.1 | |
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recreation | 8.1 | |
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dance | 7.9 | |
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women | 7.9 | |
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cold | 7.7 | |
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men | 7.7 | |
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attractive | 7.7 | |
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old | 7.7 | |
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consumer goods | 7.5 | |
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fun | 7.5 | |
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city | 7.5 | |
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shore | 7.4 | |
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action | 7.4 | |
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black | 7.2 | |
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body | 7.2 | |
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happiness | 7 | |
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Google
created on 2019-06-07
Art | 58.1 | |
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Illustration | 57.7 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 29-45 |
Gender | Male, 50.2% |
Disgusted | 49.9% |
Angry | 49.6% |
Happy | 49.6% |
Confused | 49.6% |
Calm | 49.7% |
Sad | 49.7% |
Surprised | 49.5% |

AWS Rekognition
Age | 48-68 |
Gender | Male, 50.5% |
Calm | 49.7% |
Disgusted | 49.7% |
Sad | 49.7% |
Surprised | 49.6% |
Angry | 49.8% |
Happy | 49.5% |
Confused | 49.6% |

AWS Rekognition
Age | 48-68 |
Gender | Male, 50.3% |
Surprised | 49.5% |
Calm | 49.6% |
Confused | 49.5% |
Disgusted | 50% |
Angry | 49.7% |
Sad | 49.6% |
Happy | 49.5% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 50.5% |
Surprised | 49.5% |
Calm | 49.7% |
Confused | 49.5% |
Disgusted | 50% |
Angry | 49.6% |
Sad | 49.6% |
Happy | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.5% |
Surprised | 49.5% |
Angry | 50.2% |
Happy | 49.6% |
Confused | 49.5% |
Disgusted | 49.5% |
Calm | 49.5% |
Sad | 49.6% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 50.4% |
Disgusted | 50% |
Confused | 49.5% |
Surprised | 49.5% |
Calm | 49.8% |
Happy | 49.5% |
Angry | 49.6% |
Sad | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.2% |
Surprised | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |
Angry | 49.5% |
Sad | 50.3% |
Calm | 49.6% |
Happy | 49.5% |

AWS Rekognition
Age | 45-66 |
Gender | Male, 50.4% |
Disgusted | 49.8% |
Sad | 49.7% |
Happy | 49.5% |
Surprised | 49.6% |
Angry | 49.7% |
Calm | 49.7% |
Confused | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.5% |
Disgusted | 49.6% |
Sad | 49.9% |
Calm | 49.6% |
Confused | 49.5% |
Surprised | 49.5% |
Happy | 49.6% |
Angry | 49.8% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 50.5% |
Calm | 49.7% |
Angry | 49.6% |
Sad | 49.7% |
Confused | 49.6% |
Surprised | 49.6% |
Happy | 49.6% |
Disgusted | 49.9% |

AWS Rekognition
Age | 35-55 |
Gender | Male, 50.5% |
Confused | 49.6% |
Happy | 49.5% |
Sad | 49.6% |
Surprised | 49.5% |
Calm | 49.8% |
Disgusted | 49.9% |
Angry | 49.7% |

AWS Rekognition
Age | 29-45 |
Gender | Male, 50.2% |
Confused | 49.5% |
Sad | 49.5% |
Disgusted | 49.7% |
Calm | 50.1% |
Happy | 49.5% |
Surprised | 49.5% |
Angry | 49.5% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 54.8% |
Sad | 53.5% |
Angry | 45.2% |
Calm | 45.8% |
Happy | 45.3% |
Disgusted | 45% |
Confused | 45.1% |
Surprised | 45% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.3% |
Surprised | 49.5% |
Angry | 49.5% |
Confused | 49.5% |
Calm | 50.4% |
Sad | 49.5% |
Happy | 49.5% |
Disgusted | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.1% |
Happy | 49.5% |
Angry | 49.9% |
Calm | 49.5% |
Confused | 49.5% |
Sad | 50% |
Disgusted | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.4% |
Angry | 49.8% |
Calm | 49.6% |
Confused | 49.5% |
Disgusted | 50% |
Happy | 49.5% |
Sad | 49.6% |
Surprised | 49.5% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 50.3% |
Surprised | 49.5% |
Sad | 50.2% |
Happy | 49.6% |
Calm | 49.5% |
Angry | 49.6% |
Disgusted | 49.6% |
Confused | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.5% |
Angry | 49.6% |
Happy | 49.6% |
Sad | 49.6% |
Disgusted | 49.5% |
Confused | 49.6% |
Calm | 50% |
Surprised | 49.6% |

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

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.5% |
Disgusted | 49.5% |
Angry | 49.5% |
Calm | 50.3% |
Surprised | 49.5% |
Confused | 49.5% |
Happy | 49.5% |
Sad | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.3% |
Sad | 49.9% |
Happy | 49.6% |
Angry | 49.6% |
Calm | 49.7% |
Surprised | 49.5% |
Disgusted | 49.5% |
Confused | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.5% |
Disgusted | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |
Calm | 49.5% |
Happy | 49.5% |
Angry | 49.6% |
Sad | 50.3% |

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

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Calm | 49.9% |
Disgusted | 49.6% |
Sad | 49.6% |
Surprised | 49.6% |
Angry | 49.6% |
Happy | 49.5% |
Confused | 49.7% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.1% |
Angry | 49.6% |
Calm | 50.1% |
Surprised | 49.6% |
Confused | 49.5% |
Sad | 49.5% |
Happy | 49.6% |
Disgusted | 49.7% |

AWS Rekognition
Age | 27-44 |
Gender | Male, 50.1% |
Calm | 50.1% |
Happy | 49.5% |
Confused | 49.6% |
Sad | 49.7% |
Surprised | 49.6% |
Angry | 49.6% |
Disgusted | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.4% |
Calm | 50% |
Angry | 49.7% |
Surprised | 49.6% |
Sad | 49.6% |
Happy | 49.5% |
Confused | 49.6% |
Disgusted | 49.5% |
Feature analysis
Amazon
Person
Elephant
Categories
Imagga
beaches seaside | 70.8% | |
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paintings art | 23.9% | |
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streetview architecture | 2.3% | |
| ||
nature landscape | 1.1% | |
|
Captions
Microsoft
created on 2019-06-07
a vintage photo of a group of people posing for the camera | 92.2% | |
| ||
a vintage photo of a group of people posing for a picture | 92.1% | |
| ||
a group of people posing for a photo | 92% | |
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Text analysis
Amazon

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Exercices d'Entrainement des SAPEURS-POMPIERS de la Ville de Paris. Gymnastique
2142
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Phot

Exercices

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