Machine Generated Data
Tags
Amazon
created on 2019-06-04
Human | 99 | |
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Person | 99 | |
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Person | 98.4 | |
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Person | 98.2 | |
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Person | 97 | |
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Person | 96.6 | |
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Person | 95.7 | |
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Person | 94.6 | |
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Person | 94.2 | |
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Person | 93.2 | |
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Person | 90.6 | |
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Person | 89.4 | |
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Clinic | 89.3 | |
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Person | 86.8 | |
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Room | 78.1 | |
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Indoors | 78.1 | |
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Person | 76.4 | |
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Person | 72.7 | |
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Horse | 71.4 | |
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Mammal | 71.4 | |
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Animal | 71.4 | |
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People | 66.1 | |
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Crowd | 63.2 | |
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Advertisement | 61.7 | |
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Hospital | 60.7 | |
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Person | 60.2 | |
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Jury | 58.1 | |
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Furniture | 58 | |
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Person | 53.2 | |
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Person | 46.7 | |
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Person | 45.5 | |
|
Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
shop | 46.9 | |
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barbershop | 41.4 | |
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mercantile establishment | 33.6 | |
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old | 26.4 | |
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place of business | 22.4 | |
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vintage | 21.5 | |
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newspaper | 21.4 | |
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grunge | 21.3 | |
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web site | 20.8 | |
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building | 18.2 | |
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product | 17.7 | |
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architecture | 17.2 | |
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antique | 15.7 | |
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retro | 15.6 | |
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structure | 15.3 | |
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house | 15 | |
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ancient | 14.7 | |
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history | 14.3 | |
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creation | 14.1 | |
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daily | 13.6 | |
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window | 13 | |
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wall | 12.8 | |
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decoration | 12.8 | |
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aged | 12.7 | |
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paper | 12.5 | |
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city | 12.5 | |
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travel | 12 | |
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paint | 11.8 | |
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design | 11.2 | |
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establishment | 11.1 | |
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texture | 11.1 | |
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business | 10.9 | |
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dirty | 10.8 | |
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art | 10.4 | |
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home | 10.4 | |
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door | 10 | |
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bakery | 9.9 | |
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black | 9.6 | |
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empty | 9.4 | |
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construction | 9.4 | |
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space | 9.3 | |
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street | 9.2 | |
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frame | 9.1 | |
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tourism | 9.1 | |
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bank | 9 | |
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pattern | 8.9 | |
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interior | 8.8 | |
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scene | 8.6 | |
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obsolete | 8.6 | |
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exterior | 8.3 | |
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cash | 8.2 | |
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brown | 8.1 | |
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light | 8 | |
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drawing | 8 | |
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urban | 7.9 | |
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salon | 7.8 | |
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money | 7.7 | |
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bill | 7.6 | |
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old fashioned | 7.6 | |
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finance | 7.6 | |
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grungy | 7.6 | |
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blackboard | 7.5 | |
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style | 7.4 | |
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letter | 7.3 | |
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historic | 7.3 | |
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rough | 7.3 | |
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material | 7.1 | |
|
Google
created on 2019-06-04
Photograph | 96.5 | |
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Text | 92.2 | |
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Snapshot | 87.9 | |
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Room | 81.5 | |
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Adaptation | 77.3 | |
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History | 60.4 | |
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Art | 58.1 | |
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Family | 52.5 | |
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Child | 52 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.4% |
Confused | 49.5% |
Angry | 49.5% |
Happy | 49.6% |
Sad | 50.1% |
Disgusted | 49.5% |
Surprised | 49.5% |
Calm | 49.7% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 50.3% |
Calm | 49.6% |
Sad | 49.8% |
Surprised | 49.5% |
Confused | 49.6% |
Angry | 49.9% |
Disgusted | 49.6% |
Happy | 49.5% |

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

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

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.1% |
Sad | 50.2% |
Confused | 49.5% |
Angry | 49.5% |
Surprised | 49.5% |
Disgusted | 49.5% |
Happy | 49.5% |
Calm | 49.7% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.5% |
Sad | 49.7% |
Happy | 49.5% |
Calm | 49.7% |
Disgusted | 49.6% |
Angry | 49.6% |
Surprised | 49.7% |
Confused | 49.7% |

AWS Rekognition
Age | 14-25 |
Gender | Male, 50.5% |
Disgusted | 49.5% |
Surprised | 49.5% |
Angry | 49.9% |
Happy | 49.5% |
Calm | 49.6% |
Sad | 49.8% |
Confused | 49.7% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.5% |
Sad | 49.6% |
Happy | 49.6% |
Angry | 49.7% |
Calm | 49.7% |
Surprised | 49.6% |
Confused | 49.6% |
Disgusted | 49.7% |

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

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.3% |
Surprised | 49.6% |
Angry | 49.7% |
Calm | 49.9% |
Confused | 49.6% |
Disgusted | 49.6% |
Happy | 49.5% |
Sad | 49.7% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.2% |
Confused | 49.7% |
Sad | 50.1% |
Disgusted | 49.5% |
Surprised | 49.6% |
Angry | 49.5% |
Happy | 49.5% |
Calm | 49.6% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.5% |
Disgusted | 49.5% |
Happy | 49.7% |
Sad | 50.2% |
Angry | 49.5% |
Calm | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |
Feature analysis
Categories
Imagga
interior objects | 69.1% | |
| ||
streetview architecture | 18.2% | |
| ||
text visuals | 4.4% | |
| ||
events parties | 3% | |
| ||
paintings art | 1.9% | |
| ||
food drinks | 1.1% | |
|
Captions
Microsoft
created on 2019-06-04
a vintage photo of a store | 61.3% | |
| ||
a vintage photo of some people in a store | 42.8% | |
| ||
a vintage photo of a group of people in a store | 38.2% | |
|
Text analysis
Amazon

Examples

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