Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
dancer | 30.3 | |
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person | 28.3 | |
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people | 27.9 | |
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silhouette | 24 | |
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performer | 22.2 | |
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male | 19.8 | |
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dance | 19.6 | |
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adult | 18.9 | |
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body | 17.6 | |
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man | 17.5 | |
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sport | 17 | |
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entertainer | 15.5 | |
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group | 14.5 | |
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active | 13.8 | |
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men | 13.7 | |
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black | 13.3 | |
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lady | 13 | |
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party | 12.9 | |
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athlete | 12.9 | |
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sexy | 12.8 | |
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fashion | 12.8 | |
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human | 12.7 | |
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exercise | 12.7 | |
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women | 12.6 | |
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attractive | 12.6 | |
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run | 12.5 | |
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dark | 12.5 | |
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crowd | 12.5 | |
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model | 12.4 | |
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brass | 12 | |
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grunge | 11.9 | |
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style | 11.9 | |
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dancing | 11.6 | |
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fun | 11.2 | |
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trombone | 11.2 | |
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crutch | 11 | |
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portrait | 11 | |
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music | 10.9 | |
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figure | 10.9 | |
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wind instrument | 10.7 | |
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hand | 10.6 | |
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hands | 10.4 | |
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musical instrument | 10.3 | |
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lifestyle | 10.1 | |
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pose | 10 | |
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leisure | 10 | |
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dirty | 9.9 | |
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team | 9.9 | |
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posing | 9.8 | |
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runner | 9.7 | |
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disco | 9.6 | |
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boy | 9.6 | |
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erotic | 9.4 | |
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exercise bike | 9.4 | |
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fitness | 9 | |
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one | 9 | |
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device | 8.6 | |
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staff | 8.5 | |
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action | 8.3 | |
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health | 8.3 | |
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event | 8.3 | |
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gymnasium | 8.3 | |
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art | 8.2 | |
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stick | 8.2 | |
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teenager | 8.2 | |
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sensual | 8.2 | |
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activity | 8.1 | |
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night | 8 | |
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happiness | 7.8 | |
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exercise device | 7.7 | |
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outdoor | 7.6 | |
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pleasure | 7.5 | |
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shape | 7.5 | |
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symbol | 7.4 | |
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competition | 7.3 | |
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design | 7.3 | |
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graphic | 7.3 | |
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clothing | 7.3 | |
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sunset | 7.2 | |
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celebration | 7.2 | |
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together | 7 | |
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Google
created on 2019-06-05
Photograph | 94.8 | |
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Snapshot | 82.9 | |
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Fun | 70.4 | |
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Family | 58.6 | |
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Vintage clothing | 52.1 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 19-36 |
Gender | Male, 51.5% |
Disgusted | 45.1% |
Angry | 46.1% |
Sad | 45.4% |
Surprised | 45.2% |
Happy | 45.1% |
Calm | 53% |
Confused | 45.1% |

AWS Rekognition
Age | 29-45 |
Gender | Male, 54.1% |
Surprised | 46.9% |
Calm | 48.6% |
Happy | 45.1% |
Sad | 45.6% |
Confused | 45.5% |
Angry | 48.1% |
Disgusted | 45.2% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 53.6% |
Confused | 45.4% |
Angry | 46.4% |
Happy | 45.1% |
Sad | 48.6% |
Disgusted | 45.2% |
Surprised | 45.2% |
Calm | 49.2% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 54.9% |
Sad | 46.5% |
Happy | 47.5% |
Disgusted | 45.1% |
Calm | 48.7% |
Angry | 45.6% |
Confused | 45.9% |
Surprised | 45.7% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 54.9% |
Sad | 45.9% |
Surprised | 45.3% |
Confused | 45.2% |
Disgusted | 45.1% |
Happy | 45.1% |
Calm | 51.9% |
Angry | 46.4% |

AWS Rekognition
Age | 11-18 |
Gender | Male, 54.9% |
Sad | 45.8% |
Disgusted | 45.4% |
Surprised | 47.1% |
Happy | 45.1% |
Confused | 45.7% |
Angry | 45.6% |
Calm | 50.3% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 54.3% |
Angry | 45.1% |
Happy | 45% |
Surprised | 45.1% |
Calm | 53.9% |
Confused | 45.1% |
Sad | 45.7% |
Disgusted | 45% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 50% |
Disgusted | 45.4% |
Surprised | 45.2% |
Angry | 45.3% |
Confused | 45.2% |
Sad | 52% |
Calm | 46.7% |
Happy | 45.2% |

AWS Rekognition
Age | 14-25 |
Gender | Female, 54.7% |
Disgusted | 45.4% |
Confused | 45.6% |
Surprised | 45.8% |
Calm | 46.3% |
Happy | 47.3% |
Angry | 45.5% |
Sad | 49% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.9% |
Surprised | 45.3% |
Confused | 45.4% |
Sad | 45.7% |
Calm | 53% |
Happy | 45% |
Disgusted | 45.1% |
Angry | 45.6% |

AWS Rekognition
Age | 11-18 |
Gender | Female, 53.8% |
Sad | 45.7% |
Disgusted | 45.7% |
Calm | 49.9% |
Confused | 45.5% |
Angry | 45.9% |
Surprised | 46.2% |
Happy | 46.1% |

Microsoft Cognitive Services
Age | 24 |
Gender | Male |
Feature analysis
Categories
Imagga
interior objects | 100% | |
|
Captions
Microsoft
created on 2019-06-05
a group of people posing for a photo | 98.1% | |
| ||
an old photo of a group of people posing for the camera | 97.5% | |
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an old photo of a group of people posing for a picture | 97.4% | |
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