Machine Generated Data
Tags
Amazon
created on 2019-06-05
Person | 99.3 | |
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Human | 99.3 | |
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Person | 99.1 | |
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Person | 98.9 | |
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Person | 98.5 | |
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Military | 98.1 | |
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Person | 98 | |
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Military Uniform | 97.8 | |
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Person | 97.8 | |
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Army | 95.1 | |
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Armored | 95.1 | |
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People | 95.1 | |
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Person | 94.2 | |
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Person | 93.1 | |
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Person | 92.1 | |
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Person | 88.2 | |
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Troop | 86.1 | |
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Soldier | 84.6 | |
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Person | 82.8 | |
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Person | 81.3 | |
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Person | 81.3 | |
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Officer | 79.6 | |
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Person | 75.3 | |
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Person | 74 | |
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Person | 70.1 | |
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Fireman | 69.7 | |
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Team | 62.2 | |
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Crowd | 56.9 | |
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Person | 48.1 | |
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Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
kin | 35.2 | |
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military uniform | 22.3 | |
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man | 22.1 | |
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person | 19.7 | |
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people | 19.5 | |
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uniform | 19.1 | |
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wind instrument | 16.2 | |
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male | 15.6 | |
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clothing | 15 | |
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musical instrument | 14.8 | |
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old | 14.6 | |
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adult | 12.8 | |
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brass | 12.5 | |
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sax | 11.7 | |
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summer | 11.6 | |
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outdoor | 11.5 | |
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trombone | 11.2 | |
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protection | 10.9 | |
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dark | 10.8 | |
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dirty | 10.8 | |
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silhouette | 10.7 | |
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danger | 10 | |
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family | 9.8 | |
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couple | 9.6 | |
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winter | 9.3 | |
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relax | 9.3 | |
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world | 9.2 | |
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field | 9.2 | |
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city | 9.1 | |
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building | 9.1 | |
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vintage | 9.1 | |
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industrial | 9.1 | |
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consumer goods | 9 | |
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black | 9 | |
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outdoors | 8.9 | |
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sky | 8.9 | |
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covering | 8.9 | |
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destruction | 8.8 | |
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love | 8.7 | |
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happiness | 8.6 | |
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beach | 8.4 | |
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portrait | 8.4 | |
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attractive | 8.4 | |
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room | 8.3 | |
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leisure | 8.3 | |
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street | 8.3 | |
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freedom | 8.2 | |
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happy | 8.1 | |
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suit | 8.1 | |
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sunset | 8.1 | |
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history | 8 | |
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sexy | 8 | |
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lifestyle | 7.9 | |
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grass | 7.9 | |
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day | 7.8 | |
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architecture | 7.8 | |
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toxic | 7.8 | |
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art | 7.8 | |
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sepia | 7.8 | |
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nuclear | 7.7 | |
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gas | 7.7 | |
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grandfather | 7.6 | |
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sport | 7.4 | |
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group | 7.2 | |
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sun | 7.2 | |
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aged | 7.2 | |
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mother | 7 | |
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travel | 7 | |
|
Google
created on 2019-06-05
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 35-52 |
Gender | Male, 54.4% |
Surprised | 45.2% |
Disgusted | 50.8% |
Calm | 45.4% |
Confused | 45.4% |
Angry | 47.1% |
Sad | 45.5% |
Happy | 45.6% |

AWS Rekognition
Age | 35-55 |
Gender | Female, 52% |
Surprised | 45.1% |
Sad | 46.4% |
Angry | 52.7% |
Happy | 45.1% |
Confused | 45.1% |
Disgusted | 45.3% |
Calm | 45.2% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 54.8% |
Angry | 45.4% |
Sad | 45.8% |
Surprised | 45.4% |
Confused | 45.9% |
Disgusted | 45.7% |
Calm | 46.7% |
Happy | 50.2% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 52.1% |
Calm | 49.6% |
Disgusted | 48.9% |
Happy | 45.1% |
Surprised | 45.2% |
Sad | 45.4% |
Angry | 45.7% |
Confused | 45.1% |

AWS Rekognition
Age | 48-68 |
Gender | Male, 53.2% |
Happy | 45.2% |
Angry | 47.2% |
Calm | 51.3% |
Confused | 45.3% |
Disgusted | 45.2% |
Surprised | 45.1% |
Sad | 45.7% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 51.3% |
Calm | 48.8% |
Confused | 45.4% |
Disgusted | 45.8% |
Happy | 45.2% |
Angry | 45.9% |
Sad | 48.5% |
Surprised | 45.4% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 52% |
Disgusted | 51.1% |
Surprised | 45.3% |
Happy | 45.9% |
Calm | 46.4% |
Angry | 45.7% |
Confused | 45.2% |
Sad | 45.4% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 53.5% |
Confused | 45.1% |
Surprised | 45.5% |
Angry | 52.6% |
Calm | 45.3% |
Sad | 45.6% |
Happy | 45.2% |
Disgusted | 45.8% |

AWS Rekognition
Age | 48-68 |
Gender | Male, 54.7% |
Disgusted | 46% |
Confused | 45.8% |
Calm | 45.6% |
Angry | 48.2% |
Happy | 45.6% |
Sad | 48.7% |
Surprised | 45.2% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 54.4% |
Calm | 45.9% |
Sad | 45.1% |
Angry | 53.7% |
Confused | 45.1% |
Happy | 45% |
Disgusted | 45% |
Surprised | 45% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50% |
Happy | 45.2% |
Disgusted | 45.3% |
Confused | 45.1% |
Surprised | 45.2% |
Sad | 45.4% |
Angry | 45.3% |
Calm | 53.5% |

AWS Rekognition
Age | 45-65 |
Gender | Female, 50% |
Disgusted | 52.9% |
Happy | 45.3% |
Confused | 45.2% |
Sad | 45.1% |
Calm | 45.6% |
Angry | 45.7% |
Surprised | 45.1% |

AWS Rekognition
Age | 30-47 |
Gender | Female, 51.8% |
Surprised | 45.9% |
Disgusted | 45.7% |
Calm | 47.4% |
Confused | 45.3% |
Angry | 46.6% |
Sad | 48.3% |
Happy | 45.8% |

AWS Rekognition
Age | 27-44 |
Gender | Male, 52% |
Calm | 48.5% |
Angry | 48.3% |
Happy | 45.4% |
Surprised | 45.7% |
Confused | 45.5% |
Disgusted | 45.8% |
Sad | 45.8% |

AWS Rekognition
Age | 57-77 |
Gender | Female, 50.1% |
Sad | 46.9% |
Disgusted | 50.3% |
Angry | 46.5% |
Surprised | 45.3% |
Calm | 45.3% |
Confused | 45.4% |
Happy | 45.4% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 54.9% |
Confused | 45.5% |
Sad | 45.6% |
Happy | 49% |
Surprised | 45.9% |
Disgusted | 47.6% |
Calm | 45.3% |
Angry | 46.1% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 52.9% |
Surprised | 45.3% |
Sad | 45.7% |
Calm | 52.9% |
Confused | 45.5% |
Disgusted | 45.1% |
Happy | 45.1% |
Angry | 45.4% |

AWS Rekognition
Age | 30-47 |
Gender | Female, 51.9% |
Confused | 45.2% |
Disgusted | 45.8% |
Sad | 45.8% |
Surprised | 45.3% |
Calm | 51.8% |
Angry | 46% |
Happy | 45.1% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 53.5% |
Confused | 45% |
Surprised | 45% |
Angry | 45% |
Calm | 45% |
Sad | 45% |
Happy | 45% |
Disgusted | 54.9% |

AWS Rekognition
Age | 48-68 |
Gender | Male, 52.2% |
Angry | 46.2% |
Surprised | 45.4% |
Happy | 45.7% |
Disgusted | 45.6% |
Sad | 46.5% |
Confused | 45.4% |
Calm | 50.2% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 51.2% |
Angry | 46.3% |
Disgusted | 49.2% |
Sad | 46.4% |
Surprised | 45.5% |
Happy | 45.8% |
Calm | 45.8% |
Confused | 45.9% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 54.1% |
Angry | 47.3% |
Disgusted | 49.2% |
Sad | 46.3% |
Calm | 46.1% |
Happy | 45.3% |
Surprised | 45.5% |
Confused | 45.3% |

Microsoft Cognitive Services
Age | 44 |
Gender | Male |

Microsoft Cognitive Services
Age | 40 |
Gender | Male |

Microsoft Cognitive Services
Age | 43 |
Gender | Male |

Microsoft Cognitive Services
Age | 11 |
Gender | Male |

Microsoft Cognitive Services
Age | 29 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
interior objects | 79.2% | |
| ||
streetview architecture | 19.3% | |
|
Captions
Microsoft
created on 2019-06-05
a group of people in uniform posing for a photo | 98.8% | |
| ||
a vintage photo of a group of people posing for the camera | 98.3% | |
| ||
a group of people posing for a photo | 98.2% | |
|
Text analysis
Amazon

EELANCEX

CGT EELANCEX

CGT

ADIEFIANCE?
ニンインバ。

ADIEFIANCE?

ニンインバ

。