Machine Generated Data
Tags
Clarifai
created on 2019-11-16
Imagga
created on 2019-11-16
blackboard | 37.3 | |
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person | 27.3 | |
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black | 26.4 | |
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people | 22.9 | |
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model | 21.8 | |
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man | 20.9 | |
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adult | 20.2 | |
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fashion | 18.8 | |
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attractive | 18.2 | |
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lady | 17.9 | |
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body | 17.6 | |
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portrait | 17.5 | |
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male | 17 | |
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sexy | 16.9 | |
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pretty | 16.8 | |
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kin | 15.5 | |
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human | 15 | |
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expression | 14.5 | |
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face | 14.2 | |
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love | 14.2 | |
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one | 14.2 | |
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silhouette | 14.1 | |
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dark | 13.4 | |
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world | 13.1 | |
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hair | 12.7 | |
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brunette | 12.2 | |
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light | 12 | |
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style | 11.9 | |
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elegance | 11.8 | |
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passion | 11.3 | |
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shadow | 10.8 | |
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studio | 10.6 | |
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emotion | 10.1 | |
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happy | 10 | |
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make | 10 | |
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art | 9.9 | |
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looking | 9.6 | |
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sensual | 9.1 | |
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sensuality | 9.1 | |
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window | 9 | |
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posing | 8.9 | |
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boy | 8.8 | |
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women | 8.7 | |
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dance | 8.7 | |
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lifestyle | 8.7 | |
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elegant | 8.6 | |
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skin | 8.5 | |
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makeup | 8.2 | |
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child | 8.1 | |
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night | 8 | |
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couple | 7.8 | |
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hands | 7.8 | |
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dancer | 7.7 | |
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youth | 7.7 | |
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seductive | 7.7 | |
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erotic | 7.6 | |
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lighting | 7.5 | |
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screen | 7.4 | |
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slim | 7.4 | |
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business | 7.3 | |
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fitness | 7.2 | |
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cute | 7.2 | |
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spotlight | 7.1 | |
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businessman | 7.1 | |
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Google
created on 2019-11-16
Photograph | 95.5 | |
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Black | 94.5 | |
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Black-and-white | 82.7 | |
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Photographic paper | 76.9 | |
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Photography | 74.8 | |
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Room | 71.4 | |
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Picture frame | 70.2 | |
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Art | 69.5 | |
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Stock photography | 66.6 | |
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Visual arts | 62.5 | |
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Style | 52.5 | |
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Microsoft
created on 2019-11-16
text | 98.2 | |
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person | 90 | |
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black | 79.2 | |
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black and white | 76.6 | |
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clothing | 76.5 | |
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picture frame | 9.4 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 12-22 |
Gender | Male, 79.5% |
Calm | 44.6% |
Disgusted | 0.9% |
Sad | 18% |
Happy | 0.1% |
Angry | 33.9% |
Fear | 0.4% |
Surprised | 0.4% |
Confused | 1.7% |

AWS Rekognition
Age | 4-14 |
Gender | Male, 54.8% |
Angry | 45.3% |
Happy | 45% |
Disgusted | 45% |
Calm | 46.3% |
Fear | 46.2% |
Surprised | 45.1% |
Sad | 51.9% |
Confused | 45% |

AWS Rekognition
Age | 13-25 |
Gender | Female, 51.7% |
Fear | 54.7% |
Calm | 45% |
Sad | 45.2% |
Surprised | 45% |
Disgusted | 45% |
Angry | 45% |
Happy | 45% |
Confused | 45% |

AWS Rekognition
Age | 16-28 |
Gender | Female, 53.3% |
Angry | 45% |
Confused | 45% |
Disgusted | 45% |
Happy | 45% |
Sad | 45.6% |
Fear | 45.1% |
Calm | 54.2% |
Surprised | 45% |

AWS Rekognition
Age | 23-37 |
Gender | Male, 50.2% |
Sad | 46.9% |
Surprised | 45.1% |
Angry | 45.1% |
Confused | 45.2% |
Fear | 45.1% |
Happy | 45.1% |
Calm | 52.5% |
Disgusted | 45.1% |

AWS Rekognition
Age | 30-46 |
Gender | Female, 53.8% |
Sad | 45.3% |
Calm | 54.2% |
Angry | 45% |
Fear | 45% |
Happy | 45.3% |
Confused | 45.1% |
Surprised | 45% |
Disgusted | 45.1% |

AWS Rekognition
Age | 37-55 |
Gender | Male, 54.7% |
Calm | 53.4% |
Sad | 46.2% |
Fear | 45% |
Disgusted | 45% |
Confused | 45.1% |
Surprised | 45% |
Happy | 45% |
Angry | 45.2% |

AWS Rekognition
Age | 23-37 |
Gender | Male, 54% |
Disgusted | 45.1% |
Calm | 46.1% |
Surprised | 45.1% |
Fear | 45.3% |
Happy | 45% |
Confused | 45.1% |
Sad | 45.2% |
Angry | 53% |

AWS Rekognition
Age | 20-32 |
Gender | Male, 53.6% |
Confused | 45% |
Surprised | 45% |
Happy | 45% |
Sad | 46.1% |
Disgusted | 45% |
Angry | 45.2% |
Calm | 53.5% |
Fear | 45.1% |

AWS Rekognition
Age | 13-23 |
Gender | Male, 52.9% |
Happy | 45% |
Fear | 45.1% |
Angry | 45.7% |
Confused | 45.1% |
Calm | 47% |
Disgusted | 45% |
Surprised | 45% |
Sad | 52% |

Microsoft Cognitive Services
Age | 23 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Possible |
Blurred | Very unlikely |
Feature analysis
Amazon
Person

Person | 99.6% | |
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Categories
Imagga
text visuals | 50.6% | |
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food drinks | 31.1% | |
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paintings art | 10.5% | |
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events parties | 5.1% | |
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interior objects | 1.9% | |
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Captions
Microsoft
created on 2019-11-16
a black and white photo of a boy | 57% | |
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a boy sitting in front of a window | 44.7% | |
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a person sitting in front of a window | 44.6% | |
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