Machine Generated Data
Tags
Amazon
created on 2019-06-04
Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
shop | 44.7 | |
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barbershop | 38.2 | |
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mercantile establishment | 32.5 | |
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boutique | 26.3 | |
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interior | 22.1 | |
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place of business | 21.7 | |
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wall | 17.1 | |
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home | 16.7 | |
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old | 16.7 | |
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house | 15.9 | |
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vintage | 15.7 | |
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people | 15.6 | |
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window | 15.4 | |
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building | 15.1 | |
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room | 14.4 | |
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architecture | 14 | |
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door | 13.7 | |
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drawing | 13.1 | |
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man | 12.1 | |
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male | 12 | |
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antique | 11.5 | |
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historical | 11.3 | |
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men | 11.2 | |
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decoration | 11.1 | |
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person | 10.9 | |
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sketch | 10.8 | |
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dress | 10.8 | |
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establishment | 10.8 | |
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history | 10.7 | |
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decor | 10.6 | |
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design | 10.1 | |
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shoe shop | 10.1 | |
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light | 10 | |
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city | 10 | |
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aged | 9.9 | |
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retro | 9.8 | |
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clothing | 9.8 | |
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holiday | 9.3 | |
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travel | 9.1 | |
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indoor | 9.1 | |
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black | 9 | |
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style | 8.9 | |
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newspaper | 8.8 | |
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urban | 8.7 | |
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grunge | 8.5 | |
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business | 8.5 | |
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two | 8.5 | |
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adult | 8.5 | |
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frame | 8.3 | |
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fashion | 8.3 | |
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inside | 8.3 | |
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brown | 8.1 | |
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family | 8 | |
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indoors | 7.9 | |
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love | 7.9 | |
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ancient | 7.8 | |
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glass | 7.8 | |
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entrance | 7.7 | |
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bride | 7.7 | |
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product | 7.4 | |
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wedding | 7.3 | |
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historic | 7.3 | |
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paint | 7.2 | |
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suit | 7.2 | |
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art | 7.2 | |
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portrait | 7.1 | |
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women | 7.1 | |
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paper | 7.1 | |
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table | 7 | |
|
Google
created on 2019-06-04
Photograph | 96.5 | |
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Text | 89.7 | |
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Snapshot | 88.1 | |
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Room | 78 | |
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Gentleman | 67.8 | |
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Adaptation | 67 | |
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Vintage clothing | 62.5 | |
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Collection | 59.7 | |
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Stock photography | 59.4 | |
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History | 57.6 | |
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Black-and-white | 56.4 | |
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Family | 51.8 | |
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Art | 50.2 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 19-36 |
Gender | Male, 52.4% |
Confused | 45.5% |
Surprised | 45.2% |
Happy | 45.4% |
Disgusted | 48.5% |
Calm | 46.1% |
Sad | 48.3% |
Angry | 46.1% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Calm | 49.5% |
Disgusted | 49.5% |
Surprised | 49.5% |
Sad | 50% |
Happy | 49.6% |
Angry | 49.8% |
Confused | 49.5% |

AWS Rekognition
Age | 11-18 |
Gender | Female, 53.6% |
Angry | 45.6% |
Surprised | 45.3% |
Disgusted | 45.2% |
Happy | 45.5% |
Sad | 51.4% |
Confused | 45.3% |
Calm | 46.7% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 53.5% |
Surprised | 45.6% |
Confused | 46% |
Angry | 46.6% |
Disgusted | 46% |
Sad | 46.2% |
Happy | 47.8% |
Calm | 46.9% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 50% |
Happy | 49.6% |
Calm | 49.7% |
Confused | 49.5% |
Disgusted | 49.6% |
Surprised | 49.5% |
Angry | 49.6% |
Sad | 49.8% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 50.3% |
Sad | 50.5% |
Confused | 49.5% |
Angry | 49.5% |
Happy | 49.5% |
Calm | 49.5% |
Surprised | 49.5% |
Disgusted | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50% |
Calm | 49.7% |
Happy | 49.6% |
Confused | 49.5% |
Angry | 49.7% |
Disgusted | 49.6% |
Surprised | 49.5% |
Sad | 49.8% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.3% |
Disgusted | 49.5% |
Happy | 49.5% |
Confused | 49.6% |
Sad | 49.7% |
Angry | 49.7% |
Surprised | 49.6% |
Calm | 49.9% |

AWS Rekognition
Age | 12-22 |
Gender | Male, 50.2% |
Surprised | 49.6% |
Calm | 49.6% |
Happy | 49.8% |
Sad | 49.7% |
Angry | 49.6% |
Confused | 49.7% |
Disgusted | 49.6% |

AWS Rekognition
Age | 60-90 |
Gender | Male, 50.4% |
Disgusted | 50.4% |
Confused | 49.5% |
Surprised | 49.5% |
Calm | 49.5% |
Happy | 49.5% |
Angry | 49.5% |
Sad | 49.5% |
Feature analysis
Categories
Imagga
streetview architecture | 76.7% | |
| ||
paintings art | 18.4% | |
| ||
interior objects | 2.4% | |
| ||
nature landscape | 1.1% | |
|
Captions
Microsoft
created on 2019-06-04
an old photo of a person | 54.9% | |
| ||
an old photo of a person | 52.5% | |
| ||
an old photo of a person in a room | 52.4% | |
|
Text analysis
Amazon

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