Machine Generated Data
Tags
Amazon
created on 2022-03-19
Clarifai
created on 2023-10-28
Imagga
created on 2022-03-19
person | 23.9 | |
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kin | 20.4 | |
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world | 19.8 | |
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television | 19.3 | |
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people | 19 | |
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man | 18.1 | |
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male | 14.9 | |
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dancer | 14.6 | |
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adult | 14.1 | |
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telecommunication system | 13.7 | |
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silhouette | 13.2 | |
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old | 13.2 | |
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performer | 13.1 | |
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symbol | 12.8 | |
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portrait | 12.3 | |
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crowd | 11.5 | |
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player | 10.7 | |
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sport | 10.7 | |
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stadium | 10.7 | |
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vintage | 9.9 | |
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suit | 9.9 | |
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athlete | 9.8 | |
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cheering | 9.8 | |
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black | 9.6 | |
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couple | 9.6 | |
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scene | 9.5 | |
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lights | 9.3 | |
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training | 9.2 | |
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entertainer | 9.2 | |
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flag | 9.2 | |
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teacher | 9.1 | |
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art | 9 | |
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summer | 9 | |
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child | 9 | |
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group | 8.9 | |
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audience | 8.8 | |
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championship | 8.7 | |
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sculpture | 8.7 | |
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match | 8.7 | |
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love | 8.7 | |
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skill | 8.7 | |
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antique | 8.6 | |
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ancient | 8.6 | |
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mask | 8.6 | |
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patriotic | 8.6 | |
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statue | 8.6 | |
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nation | 8.5 | |
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clothing | 8.4 | |
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field | 8.4 | |
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dark | 8.3 | |
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color | 8.3 | |
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competition | 8.2 | |
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dress | 8.1 | |
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team | 8.1 | |
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family | 8 | |
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happiness | 7.8 | |
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nighttime | 7.8 | |
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accident | 7.8 | |
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kick | 7.8 | |
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men | 7.7 | |
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goal | 7.7 | |
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muscular | 7.6 | |
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life | 7.6 | |
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happy | 7.5 | |
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city | 7.5 | |
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leisure | 7.5 | |
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educator | 7.5 | |
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park | 7.4 | |
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event | 7.4 | |
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decoration | 7.4 | |
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dirty | 7.2 | |
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bright | 7.1 | |
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icon | 7.1 | |
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Google
created on 2022-03-19
Horse | 97.5 | |
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Photograph | 94.1 | |
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Vertebrate | 92.1 | |
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Black | 89.7 | |
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Human | 88.9 | |
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Working animal | 87.5 | |
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Black-and-white | 86.2 | |
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Picture frame | 84.2 | |
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Style | 84.1 | |
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Bridle | 80.3 | |
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Horse tack | 79 | |
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Hat | 77.2 | |
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Monochrome | 77 | |
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Monochrome photography | 76.8 | |
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Suit | 74.9 | |
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Pack animal | 74.3 | |
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Horse supplies | 73 | |
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Art | 72 | |
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Rein | 72 | |
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Event | 71.6 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 31-41 |
Gender | Male, 99.7% |
Calm | 99.8% |
Sad | 0.1% |
Surprised | 0% |
Confused | 0% |
Angry | 0% |
Happy | 0% |
Disgusted | 0% |
Fear | 0% |

AWS Rekognition
Age | 48-56 |
Gender | Male, 100% |
Calm | 85.4% |
Sad | 12.2% |
Confused | 0.9% |
Angry | 0.6% |
Fear | 0.4% |
Surprised | 0.2% |
Disgusted | 0.2% |
Happy | 0.1% |

AWS Rekognition
Age | 33-41 |
Gender | Male, 99.9% |
Calm | 99.9% |
Confused | 0% |
Angry | 0% |
Sad | 0% |
Disgusted | 0% |
Happy | 0% |
Surprised | 0% |
Fear | 0% |

Microsoft Cognitive Services
Age | 38 |
Gender | Male |

Microsoft Cognitive Services
Age | 58 |
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 |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
events parties | 59.7% | |
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paintings art | 24.8% | |
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people portraits | 12.9% | |
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pets animals | 1.9% | |
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Captions
Microsoft
created on 2022-03-19
a group of people posing for a photo | 78.7% | |
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a group of people posing for the camera | 78.6% | |
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a group of people posing for a picture | 78.5% | |
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