Machine Generated Data
Tags
Amazon
created on 2022-03-25
Clarifai
created on 2023-10-29
Imagga
created on 2022-03-25
door | 33 | |
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office | 29 | |
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building | 23.8 | |
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architecture | 23.6 | |
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interior | 18.6 | |
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room | 17.7 | |
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window | 17.6 | |
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device | 17.6 | |
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locker | 17.1 | |
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elevator | 17 | |
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home | 15.9 | |
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indoors | 15.8 | |
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sliding door | 15.7 | |
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business | 15.2 | |
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people | 15.1 | |
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man | 14.8 | |
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city | 14.1 | |
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fastener | 13.9 | |
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lifting device | 13.6 | |
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entrance | 13.5 | |
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male | 13.5 | |
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house | 13.4 | |
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modern | 13.3 | |
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adult | 13.1 | |
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boutique | 13.1 | |
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wall | 12.8 | |
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bank | 12.4 | |
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old | 11.8 | |
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glass | 11.7 | |
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new | 11.3 | |
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corporate | 11.2 | |
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urban | 10.5 | |
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restraint | 10.5 | |
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men | 10.3 | |
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stone | 10.2 | |
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facility | 10.2 | |
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historic | 10.1 | |
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depository | 9.8 | |
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movable barrier | 9.8 | |
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person | 9.7 | |
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professional | 9.6 | |
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standing | 9.6 | |
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inside | 9.2 | |
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wood | 9.2 | |
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portrait | 9.1 | |
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open | 9 | |
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family | 8.9 | |
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furniture | 8.8 | |
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doors | 8.8 | |
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businessman | 8.8 | |
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case | 8.4 | |
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happy | 8.1 | |
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archipelago | 8.1 | |
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history | 8 | |
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women | 7.9 | |
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design | 7.9 | |
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shop | 7.8 | |
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corporation | 7.7 | |
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construction | 7.7 | |
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elegance | 7.6 | |
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floor | 7.4 | |
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style | 7.4 | |
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exterior | 7.4 | |
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indoor | 7.3 | |
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facade | 7.1 | |
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travel | 7 | |
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Google
created on 2022-03-25
Suit trousers | 88.1 | |
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Coat | 86.6 | |
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Door | 83.9 | |
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Black-and-white | 82.3 | |
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Fixture | 80.4 | |
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Suit | 80.2 | |
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Blazer | 77.9 | |
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Window | 74.9 | |
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Monochrome | 73.3 | |
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Monochrome photography | 72.7 | |
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Vintage clothing | 72.2 | |
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Formal wear | 68.6 | |
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White-collar worker | 67.8 | |
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Event | 64.3 | |
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Facade | 63.1 | |
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Room | 60.6 | |
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History | 60.6 | |
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Sitting | 57.7 | |
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Classic | 57.4 | |
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Uniform | 55.4 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 30-40 |
Gender | Male, 100% |
Calm | 91.6% |
Surprised | 5.4% |
Confused | 0.8% |
Disgusted | 0.5% |
Happy | 0.5% |
Angry | 0.4% |
Fear | 0.4% |
Sad | 0.3% |

AWS Rekognition
Age | 38-46 |
Gender | Male, 100% |
Calm | 84.4% |
Confused | 7.6% |
Disgusted | 3.7% |
Surprised | 1.5% |
Fear | 1.2% |
Angry | 0.9% |
Happy | 0.5% |
Sad | 0.2% |

AWS Rekognition
Age | 43-51 |
Gender | Male, 100% |
Calm | 97.7% |
Angry | 1% |
Confused | 0.5% |
Sad | 0.4% |
Happy | 0.2% |
Surprised | 0.2% |
Disgusted | 0.1% |
Fear | 0% |

AWS Rekognition
Age | 30-40 |
Gender | Male, 100% |
Calm | 88.9% |
Confused | 10.5% |
Sad | 0.3% |
Angry | 0.2% |
Surprised | 0.1% |
Disgusted | 0.1% |
Happy | 0% |
Fear | 0% |

Microsoft Cognitive Services
Age | 36 |
Gender | Male |

Microsoft Cognitive Services
Age | 31 |
Gender | Male |

Microsoft Cognitive Services
Age | 50 |
Gender | Male |

Microsoft Cognitive Services
Age | 40 |
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 |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
interior objects | 92% | |
| ||
cars vehicles | 2.3% | |
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streetview architecture | 2.2% | |
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paintings art | 1.6% | |
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people portraits | 1.2% | |
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Captions
Microsoft
created by unknown on 2022-03-25
a group of people standing in front of a door | 96.1% | |
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a group of people standing in front of a store | 92.7% | |
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a group of people standing in front of a building | 92.6% | |
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Text analysis
Amazon

KODAK

SAFETY

KODAK SAFETY FILM

KOD

FILM

D

KODAK
S'AFETY
FILM
KOD

KODAK

S'AFETY

FILM

KOD