Machine Generated Data
Tags
Amazon
created on 2019-05-29
Clarifai
created on 2019-05-29
Imagga
created on 2019-05-29
sauna | 73.3 | |
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steam bath | 57.2 | |
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room | 45.3 | |
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sexy | 32.1 | |
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man | 28.9 | |
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attractive | 27.3 | |
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body | 27.2 | |
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adult | 26.6 | |
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male | 24.4 | |
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person | 23.7 | |
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portrait | 23.3 | |
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model | 22.6 | |
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people | 22.3 | |
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muscular | 21 | |
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couple | 20 | |
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fashion | 19.6 | |
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love | 18.9 | |
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lifestyle | 17.4 | |
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face | 16.3 | |
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health | 16 | |
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relaxation | 15.9 | |
| ||
fitness | 15.4 | |
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human | 15 | |
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erotic | 14.6 | |
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skin | 14.5 | |
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sensuality | 14.5 | |
| ||
black | 14.4 | |
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hair | 14.3 | |
| ||
handsome | 13.4 | |
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strong | 13.1 | |
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lady | 13 | |
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looking | 12.8 | |
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girls | 12.8 | |
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sensual | 12.7 | |
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two | 12.7 | |
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one | 12.7 | |
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healthy | 12.6 | |
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muscle | 12.5 | |
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fit | 12 | |
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guy | 11.7 | |
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torso | 11.7 | |
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care | 11.5 | |
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world | 11.5 | |
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pretty | 11.2 | |
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men | 11.2 | |
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women | 11.1 | |
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sport | 10.9 | |
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chest | 10.7 | |
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married | 10.6 | |
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relationship | 10.3 | |
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slim | 10.1 | |
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smile | 10 | |
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posing | 9.8 | |
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naked | 9.7 | |
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bride | 9.6 | |
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boy | 9.6 | |
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bath | 9.5 | |
| ||
passion | 9.4 | |
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happy | 8.8 | |
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shower | 8.8 | |
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sex | 8.8 | |
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athlete | 8.7 | |
| ||
boyfriend | 8.7 | |
| ||
girlfriend | 8.7 | |
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happiness | 8.6 | |
| ||
dark | 8.4 | |
| ||
leisure | 8.3 | |
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wedding | 8.3 | |
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pose | 8.2 | |
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spa | 8.1 | |
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wet | 8.1 | |
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romantic | 8 | |
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water | 8 | |
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macho | 8 | |
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abs | 7.9 | |
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brunette | 7.8 | |
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kiss | 7.8 | |
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lingerie | 7.6 | |
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clean | 7.5 | |
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strength | 7.5 | |
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training | 7.4 | |
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makeup | 7.3 | |
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make | 7.3 | |
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smiling | 7.2 | |
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groom | 7.2 | |
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dress | 7.2 | |
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romance | 7.1 | |
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husband | 7.1 | |
|
Google
created on 2019-05-29
Photograph | 96.8 | |
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Snapshot | 87 | |
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Standing | 80.9 | |
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Black-and-white | 74.4 | |
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Monochrome | 67.6 | |
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Photography | 62.4 | |
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Monochrome photography | 57.8 | |
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Vintage clothing | 53.5 | |
| ||
Art | 50.2 | |
| ||
Family | 50.2 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 27-44 |
Gender | Female, 99.4% |
Disgusted | 1.3% |
Sad | 81.8% |
Confused | 1.3% |
Calm | 11.1% |
Happy | 0.6% |
Angry | 2.7% |
Surprised | 1.2% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 96.6% |
Sad | 83.4% |
Calm | 2.3% |
Angry | 2.4% |
Happy | 4.5% |
Disgusted | 4.2% |
Confused | 2% |
Surprised | 1.2% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 99.5% |
Calm | 0.5% |
Disgusted | 0.1% |
Angry | 0.3% |
Happy | 0.3% |
Surprised | 0.1% |
Sad | 98.4% |
Confused | 0.2% |

Microsoft Cognitive Services
Age | 26 |
Gender | Female |

Microsoft Cognitive Services
Age | 26 |
Gender | Female |

Microsoft Cognitive Services
Age | 26 |
Gender | Female |

Microsoft Cognitive Services
Age | 10 |
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 | Very unlikely |
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 | 96% | |
| ||
events parties | 2.3% | |
| ||
paintings art | 1.1% | |
|
Captions
Microsoft
created on 2019-05-29
Text analysis
Amazon

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