Machine Generated Data
Tags
Amazon
created on 2019-06-07
Human | 97.7 | |
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Crowd | 96.5 | |
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Indoors | 94.3 | |
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Person | 92.5 | |
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Room | 91.1 | |
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Person | 85.5 | |
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Person | 78.8 | |
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Audience | 76.8 | |
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Interior Design | 76 | |
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Person | 71.6 | |
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Person | 70.4 | |
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Person | 68 | |
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Person | 67.7 | |
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Person | 67.5 | |
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Text | 67 | |
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Photo | 65.6 | |
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Photography | 65.6 | |
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Person | 61.1 | |
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Furniture | 61 | |
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Chair | 61 | |
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Press Conference | 58.1 | |
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Court | 57.5 | |
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Jury | 56.9 | |
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Person | 52.3 | |
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Person | 51.7 | |
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Person | 49.9 | |
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Person | 42.9 | |
|
Clarifai
created on 2019-06-07
Imagga
created on 2019-06-07
web site | 100 | |
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grunge | 29.8 | |
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old | 22.3 | |
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black | 18 | |
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texture | 17.4 | |
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building | 17 | |
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design | 16.9 | |
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vintage | 16.6 | |
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city | 16.6 | |
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retro | 15.6 | |
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architecture | 14.8 | |
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dirty | 14.5 | |
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art | 14.3 | |
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paint | 13.6 | |
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frame | 13.4 | |
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graphic | 13.1 | |
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pattern | 13 | |
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antique | 12.1 | |
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border | 11.8 | |
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grungy | 11.4 | |
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structure | 11.4 | |
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drawing | 10.5 | |
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urban | 10.5 | |
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decoration | 10.1 | |
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symbol | 10.1 | |
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house | 10 | |
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rough | 10 | |
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silhouette | 9.9 | |
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business | 9.7 | |
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text | 9.6 | |
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skyline | 9.5 | |
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style | 8.9 | |
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ancient | 8.6 | |
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element | 8.3 | |
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landscape | 8.2 | |
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aged | 8.1 | |
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light | 8 | |
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paper | 7.9 | |
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messy | 7.7 | |
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dirt | 7.6 | |
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film | 7.4 | |
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backgrounds | 7.3 | |
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landmark | 7.2 | |
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home | 7.2 | |
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bank | 7.2 | |
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history | 7.2 | |
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office | 7.1 | |
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sky | 7 | |
|
Google
created on 2019-06-07
Photograph | 96.9 | |
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Text | 90.8 | |
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Snapshot | 86.7 | |
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Photographic paper | 84.3 | |
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Room | 80.1 | |
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Picture frame | 79.9 | |
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Photography | 72.5 | |
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Stock photography | 64 | |
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Photograph album | 62.7 | |
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Art | 58.1 | |
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Album | 57.9 | |
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Black-and-white | 56.4 | |
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History | 54.1 | |
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Collection | 54 | |
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Square | 52.6 | |
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Interior design | 50.1 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.1% |
Disgusted | 49.6% |
Surprised | 49.5% |
Happy | 49.6% |
Calm | 49.9% |
Angry | 49.7% |
Sad | 49.6% |
Confused | 49.5% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.2% |
Sad | 50.1% |
Calm | 49.6% |
Angry | 49.6% |
Happy | 49.7% |
Disgusted | 49.6% |
Confused | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.2% |
Confused | 49.6% |
Angry | 49.6% |
Surprised | 49.6% |
Calm | 49.8% |
Sad | 49.7% |
Happy | 49.8% |
Disgusted | 49.5% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 50.1% |
Sad | 49.6% |
Surprised | 49.6% |
Disgusted | 49.6% |
Calm | 49.5% |
Angry | 49.9% |
Happy | 49.8% |
Confused | 49.5% |

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

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.4% |
Calm | 49.9% |
Happy | 49.6% |
Surprised | 49.6% |
Disgusted | 49.6% |
Sad | 49.7% |
Angry | 49.6% |
Confused | 49.6% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50% |
Angry | 49.6% |
Happy | 49.6% |
Disgusted | 49.7% |
Sad | 49.6% |
Confused | 49.6% |
Surprised | 49.6% |
Calm | 49.8% |

AWS Rekognition
Age | 35-53 |
Gender | Female, 50.4% |
Calm | 49.9% |
Confused | 49.6% |
Happy | 49.6% |
Angry | 49.6% |
Surprised | 49.6% |
Disgusted | 49.6% |
Sad | 49.7% |

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

AWS Rekognition
Age | 17-27 |
Gender | Female, 50.4% |
Sad | 49.6% |
Angry | 49.5% |
Calm | 49.6% |
Surprised | 49.5% |
Disgusted | 49.5% |
Happy | 50.2% |
Confused | 49.5% |

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

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

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

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

AWS Rekognition
Age | 14-25 |
Gender | Male, 50.4% |
Disgusted | 49.6% |
Happy | 49.6% |
Confused | 49.6% |
Sad | 49.6% |
Angry | 49.7% |
Surprised | 49.6% |
Calm | 49.9% |
Feature analysis
Categories
Imagga
text visuals | 90.1% | |
| ||
streetview architecture | 4.5% | |
| ||
events parties | 2% | |
| ||
paintings art | 1.6% | |
|
Captions
Microsoft
created on 2019-06-07
a group of people posing for a photo in front of a television | 36.6% | |
| ||
a group of people posing for a photo | 36.5% | |
| ||
a group of people posing for a photo in front of a monitor | 33.9% | |
|
Text analysis
Amazon

Lighthouse,

The Lighthouse, Philadelphia, Pa.

The

Pa.

Philadelphia,

Bible

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C1osy

Surdoy

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The Lighthouse, Philadelphin, Pa.
Bible Clasy
Sunday 5e hool Closs

G

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The

Lighthouse,

Philadelphin,

Pa.

Bible

Clasy

Sunday

5e

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Closs