Machine Generated Data
Tags
Amazon
created on 2019-11-16
Clarifai
created on 2019-11-16
Imagga
created on 2019-11-16
elevator | 70.1 | |
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lifting device | 56.2 | |
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device | 43.6 | |
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adult | 31.1 | |
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sexy | 30.5 | |
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attractive | 28.7 | |
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person | 26.8 | |
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hair | 25.4 | |
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black | 25.2 | |
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people | 25.1 | |
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man | 23.5 | |
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portrait | 23.3 | |
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model | 22.6 | |
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dark | 22.5 | |
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body | 22.4 | |
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groom | 22 | |
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pretty | 21.7 | |
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sensuality | 20.9 | |
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fashion | 20.3 | |
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face | 19.9 | |
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erotic | 18.2 | |
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one | 17.2 | |
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love | 16.6 | |
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lady | 16.2 | |
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skin | 16.1 | |
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male | 15.6 | |
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lifestyle | 15.2 | |
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human | 14.2 | |
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brunette | 13.9 | |
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room | 12.8 | |
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sensual | 12.7 | |
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passion | 12.2 | |
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couple | 12.2 | |
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happy | 11.9 | |
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style | 11.1 | |
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women | 11.1 | |
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healthy | 10.7 | |
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posing | 10.7 | |
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studio | 10.6 | |
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expression | 10.2 | |
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cute | 10 | |
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dress | 9.9 | |
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hand | 9.9 | |
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night | 9.8 | |
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nude | 9.7 | |
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girlfriend | 9.6 | |
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looking | 9.6 | |
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wall | 9.5 | |
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lingerie | 9.5 | |
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light | 9.4 | |
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elegance | 9.2 | |
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makeup | 9.1 | |
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gorgeous | 9.1 | |
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fitness | 9 | |
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wet | 8.9 | |
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naked | 8.7 | |
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boyfriend | 8.7 | |
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sexual | 8.7 | |
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seductive | 8.6 | |
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muscular | 8.6 | |
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smile | 8.6 | |
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relationship | 8.4 | |
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alone | 8.2 | |
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world | 8.1 | |
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handsome | 8 | |
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passionate | 7.8 | |
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darkness | 7.8 | |
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sitting | 7.7 | |
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elegant | 7.7 | |
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rain | 7.5 | |
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sauna | 7.5 | |
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lips | 7.4 | |
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water | 7.3 | |
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girls | 7.3 | |
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happiness | 7.1 | |
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Google
created on 2019-11-16
Photograph | 97 | |
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Black-and-white | 88.5 | |
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Snapshot | 86.2 | |
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Portrait | 79.7 | |
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Photography | 77 | |
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Photographic paper | 74.8 | |
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Art | 72.1 | |
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Picture frame | 71.9 | |
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Room | 71.4 | |
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Monochrome photography | 69.6 | |
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Stock photography | 62.1 | |
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Monochrome | 60.1 | |
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Style | 52.5 | |
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Microsoft
created on 2019-11-16
human face | 99.7 | |
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person | 98.2 | |
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clothing | 94.3 | |
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man | 84.7 | |
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black and white | 81.5 | |
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smile | 80.2 | |
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text | 78.6 | |
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portrait | 73.3 | |
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picture frame | 7.6 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 20-32 |
Gender | Female, 99.1% |
Disgusted | 0.1% |
Confused | 0.3% |
Angry | 0.2% |
Sad | 0.3% |
Happy | 0.1% |
Surprised | 0% |
Calm | 99% |
Fear | 0% |

AWS Rekognition
Age | 22-34 |
Gender | Female, 97.9% |
Disgusted | 3.2% |
Angry | 1.3% |
Confused | 1.1% |
Sad | 0.6% |
Calm | 84.3% |
Happy | 8.4% |
Fear | 0.2% |
Surprised | 0.8% |

AWS Rekognition
Age | 32-48 |
Gender | Female, 57% |
Calm | 45% |
Surprised | 1.2% |
Sad | 0.3% |
Happy | 43.3% |
Fear | 0.2% |
Disgusted | 8.5% |
Angry | 0.7% |
Confused | 1% |

Microsoft Cognitive Services
Age | 29 |
Gender | Female |

Microsoft Cognitive Services
Age | 24 |
Gender | Female |

Microsoft Cognitive Services
Age | 48 |
Gender | Female |

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 | Likely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 45.5% | |
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events parties | 34.2% | |
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paintings art | 11.4% | |
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text visuals | 4.8% | |
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food drinks | 3.2% | |
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Captions
Microsoft
created on 2019-11-16
a person standing in front of a mirror posing for the camera | 79% | |
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a person standing in front of a mirror | 78.9% | |
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a person standing in front of a window | 78.8% | |
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