Machine Generated Data
Tags
Amazon
created on 2019-06-04
Clarifai
created on 2019-06-04
people | 99.8 | |
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group | 98.9 | |
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adult | 98.3 | |
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many | 97.6 | |
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95.9 | ||
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man | 94.5 | |
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group together | 91.2 | |
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furniture | 91.2 | |
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vehicle | 90.2 | |
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lithograph | 89.6 | |
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woman | 88.2 | |
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room | 86.4 | |
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military | 85.5 | |
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wear | 85.3 | |
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illustration | 84.9 | |
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crowd | 84 | |
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administration | 83.2 | |
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musician | 81.8 | |
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war | 81.5 | |
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chair | 81.4 | |
|
Imagga
created on 2019-06-04
book jacket | 32.7 | |
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web site | 29.7 | |
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jacket | 25.5 | |
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building | 22.3 | |
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business | 20 | |
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old | 19.5 | |
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wrapping | 19.3 | |
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vintage | 15.9 | |
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architecture | 15.6 | |
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grunge | 15.3 | |
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daily | 14.4 | |
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newspaper | 14.4 | |
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house | 14.2 | |
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money | 13.6 | |
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design | 13.5 | |
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history | 13.4 | |
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structure | 13.4 | |
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city | 13.3 | |
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covering | 13.2 | |
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retro | 13.1 | |
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finance | 12.7 | |
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treasury | 12.2 | |
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paper | 11.8 | |
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dirty | 11.7 | |
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currency | 11.7 | |
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product | 11.6 | |
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antique | 11.4 | |
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dollar | 11.1 | |
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cash | 11 | |
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drawing | 10.9 | |
| ||
shop | 10.7 | |
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financial | 10.7 | |
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people | 10.6 | |
| ||
window | 10.6 | |
| ||
facility | 10.5 | |
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bill | 10.5 | |
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bank | 10.1 | |
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space | 10.1 | |
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man | 10.1 | |
| ||
office | 9.9 | |
| ||
art | 9.8 | |
| ||
texture | 9.7 | |
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urban | 9.6 | |
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home | 9.6 | |
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construction | 9.4 | |
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wall | 9.4 | |
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creation | 9.4 | |
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depository | 9.3 | |
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rich | 9.3 | |
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male | 9.2 | |
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travel | 9.1 | |
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paint | 9 | |
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interior | 8.8 | |
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hundred | 8.7 | |
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black | 8.4 | |
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tourism | 8.2 | |
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pattern | 8.2 | |
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aged | 8.1 | |
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light | 8 | |
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decoration | 8 | |
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ancient | 7.8 | |
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wagon | 7.8 | |
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payment | 7.7 | |
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pay | 7.7 | |
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grungy | 7.6 | |
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frame | 7.5 | |
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silhouette | 7.4 | |
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symbol | 7.4 | |
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banking | 7.4 | |
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indoor | 7.3 | |
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graphic | 7.3 | |
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success | 7.2 | |
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person | 7.2 | |
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wealth | 7.2 | |
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room | 7.1 | |
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sky | 7 | |
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modern | 7 | |
|
Google
created on 2019-06-04
Photograph | 95.8 | |
| ||
Text | 91.9 | |
| ||
Snapshot | 85.4 | |
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Room | 74.4 | |
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Adaptation | 67 | |
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History | 66.1 | |
| ||
Collection | 54 | |
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Art | 50.2 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.4% |
Disgusted | 49.5% |
Sad | 50.4% |
Calm | 49.5% |
Surprised | 49.5% |
Confused | 49.5% |
Angry | 49.5% |
Happy | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.3% |
Surprised | 49.6% |
Calm | 49.7% |
Happy | 49.5% |
Sad | 49.9% |
Angry | 49.6% |
Confused | 49.6% |
Disgusted | 49.6% |

AWS Rekognition
Age | 14-23 |
Gender | Female, 50.3% |
Happy | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |
Angry | 49.7% |
Surprised | 49.5% |
Sad | 50.3% |
Calm | 49.5% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 50.2% |
Sad | 50.3% |
Disgusted | 49.5% |
Calm | 49.5% |
Surprised | 49.5% |
Happy | 49.5% |
Angry | 49.6% |
Confused | 49.5% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 50.1% |
Angry | 49.7% |
Surprised | 49.5% |
Calm | 49.6% |
Happy | 49.6% |
Disgusted | 49.5% |
Sad | 50.1% |
Confused | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.3% |
Surprised | 49.6% |
Happy | 49.6% |
Disgusted | 49.6% |
Calm | 49.8% |
Confused | 49.6% |
Sad | 49.6% |
Angry | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.1% |
Happy | 49.6% |
Disgusted | 49.5% |
Surprised | 49.5% |
Angry | 49.5% |
Calm | 49.6% |
Sad | 50.1% |
Confused | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.3% |
Happy | 49.5% |
Disgusted | 49.5% |
Surprised | 49.5% |
Sad | 50.5% |
Confused | 49.5% |
Angry | 49.5% |
Calm | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.1% |
Surprised | 49.6% |
Angry | 49.6% |
Calm | 50% |
Confused | 49.6% |
Disgusted | 49.5% |
Happy | 49.6% |
Sad | 49.7% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.4% |
Confused | 49.6% |
Calm | 49.6% |
Disgusted | 49.5% |
Happy | 49.7% |
Angry | 49.6% |
Sad | 49.9% |
Surprised | 49.6% |

AWS Rekognition
Age | 11-18 |
Gender | Male, 50.3% |
Disgusted | 49.5% |
Sad | 50.3% |
Calm | 49.6% |
Surprised | 49.5% |
Confused | 49.5% |
Angry | 49.6% |
Happy | 49.5% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50% |
Angry | 49.7% |
Calm | 49.8% |
Sad | 49.6% |
Disgusted | 49.7% |
Happy | 49.5% |
Confused | 49.6% |
Surprised | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50% |
Calm | 49.6% |
Disgusted | 49.5% |
Angry | 49.6% |
Sad | 50.3% |
Happy | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.5% |
Happy | 49.5% |
Angry | 49.6% |
Calm | 49.6% |
Disgusted | 49.5% |
Sad | 50.3% |
Confused | 49.5% |
Surprised | 49.5% |
Feature analysis
Categories
Imagga
paintings art | 77.9% | |
| ||
text visuals | 18.4% | |
| ||
interior objects | 1.8% | |
| ||
streetview architecture | 1% | |
|
Captions
Microsoft
created on 2019-06-04
a group of people standing in front of a store | 61.8% | |
| ||
a group of people in front of a store | 61.5% | |
| ||
a group of people in a store | 59.5% | |
|
Text analysis
Amazon

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