Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
automaton | 34.5 | |
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old | 19.5 | |
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shop | 17 | |
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art | 15.2 | |
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home appliance | 14.1 | |
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machine | 14.1 | |
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sculpture | 14 | |
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antique | 13.7 | |
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sewing machine | 13.6 | |
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vintage | 13.2 | |
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retro | 13.1 | |
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decoration | 13 | |
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table | 12.7 | |
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history | 12.5 | |
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ancient | 12.1 | |
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mercantile establishment | 12.1 | |
| ||
statue | 11.3 | |
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textile machine | 11 | |
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interior | 10.6 | |
| ||
man | 10.5 | |
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historical | 10.3 | |
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architecture | 10.1 | |
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case | 10 | |
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appliance | 9.9 | |
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device | 9.8 | |
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glass | 9.5 | |
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party | 9.5 | |
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monument | 9.3 | |
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barbershop | 9.2 | |
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historic | 9.2 | |
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travel | 9.2 | |
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city | 9.1 | |
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room | 8.9 | |
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life | 8.8 | |
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home | 8.8 | |
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celebration | 8.8 | |
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house | 8.4 | |
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traditional | 8.3 | |
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tourism | 8.2 | |
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place of business | 8 | |
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detail | 8 | |
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medical | 7.9 | |
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holiday | 7.9 | |
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people | 7.8 | |
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cup | 7.7 | |
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men | 7.7 | |
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laboratory | 7.7 | |
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culture | 7.7 | |
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building | 7.6 | |
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famous | 7.4 | |
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kitchen | 7.3 | |
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metal | 7.2 | |
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day | 7.1 | |
|
Google
created on 2019-06-05
Photograph | 96.1 | |
| ||
Snapshot | 84.1 | |
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Stock photography | 71.8 | |
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Art | 67.7 | |
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Room | 65.7 | |
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Visual arts | 64.9 | |
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Classic | 56.7 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 26-43 |
Gender | Female, 78.6% |
Sad | 50.3% |
Angry | 38.6% |
Calm | 5.2% |
Confused | 1.1% |
Happy | 0.9% |
Disgusted | 2.7% |
Surprised | 1.3% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 50.4% |
Calm | 54.4% |
Disgusted | 45% |
Surprised | 45% |
Confused | 45.1% |
Angry | 45.2% |
Sad | 45.2% |
Happy | 45.1% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 51.6% |
Confused | 45.2% |
Happy | 45.4% |
Sad | 46.7% |
Disgusted | 45.9% |
Angry | 45.7% |
Calm | 50.8% |
Surprised | 45.4% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 54.3% |
Disgusted | 45.2% |
Sad | 46.5% |
Calm | 51.8% |
Surprised | 45.1% |
Angry | 45.6% |
Happy | 45.3% |
Confused | 45.5% |

AWS Rekognition
Age | 14-23 |
Gender | Male, 54% |
Surprised | 46.1% |
Happy | 45.2% |
Calm | 49.6% |
Disgusted | 45.3% |
Confused | 46.5% |
Sad | 46.4% |
Angry | 46% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 54.6% |
Angry | 45.6% |
Disgusted | 45.3% |
Surprised | 45.8% |
Happy | 46% |
Calm | 50.6% |
Sad | 45.7% |
Confused | 46.1% |

Microsoft Cognitive Services
Age | 23 |
Gender | Female |

Microsoft Cognitive Services
Age | 24 |
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
interior objects | 97.3% | |
| ||
paintings art | 1.6% | |
| ||
food drinks | 1% | |
|
Captions
Microsoft
created on 2019-06-05
a vintage photo of a person holding a book | 62% | |
| ||
a vintage photo of a person | 61.9% | |
| ||
a vintage photo of a person in a box | 61.8% | |
|
Text analysis
Amazon

the

In the Kitchen

In

Kitchen

ThE

DAANCER

24
1n the Ki tchen.
The

24

1n

the

Ki

tchen.

The