Machine Generated Data
Tags
Amazon
created on 2019-11-16
Human | 99.6 | |
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Person | 99.6 | |
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Person | 99.6 | |
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Poster | 99.5 | |
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Advertisement | 99.5 | |
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Collage | 99.5 | |
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Person | 99.4 | |
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Person | 98.9 | |
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Person | 98.7 | |
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Person | 98.4 | |
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Person | 96.9 | |
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Person | 95.1 | |
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Nature | 91.3 | |
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Person | 89.5 | |
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Outdoors | 89 | |
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Building | 85.6 | |
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Person | 84.3 | |
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Countryside | 82.2 | |
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Person | 80.9 | |
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Hut | 75 | |
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Rural | 75 | |
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Shack | 73.6 | |
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Person | 65.8 | |
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Person | 65.6 | |
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Dugout | 59.3 | |
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Prison | 59.3 | |
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People | 58.6 | |
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Person | 46.9 | |
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Clarifai
created on 2019-11-16
Imagga
created on 2019-11-16
barbershop | 25.5 | |
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shop | 22.1 | |
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window | 21.1 | |
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old | 19.5 | |
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building | 18.9 | |
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city | 18.3 | |
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structure | 17.3 | |
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vehicle | 16.9 | |
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billboard | 16.8 | |
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wheeled vehicle | 16.8 | |
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mercantile establishment | 16.8 | |
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conveyance | 16.7 | |
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street | 16.6 | |
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snow | 15.6 | |
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architecture | 15.6 | |
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transportation | 15.2 | |
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travel | 14.8 | |
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tramway | 14 | |
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black | 13.8 | |
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winter | 13.6 | |
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car | 13.3 | |
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train | 12.5 | |
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signboard | 12 | |
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transport | 11.9 | |
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streetcar | 11.4 | |
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urban | 11.4 | |
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door | 11.3 | |
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cold | 11.2 | |
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place of business | 11.2 | |
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wall | 11.1 | |
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house | 10.9 | |
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public | 10.7 | |
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people | 10 | |
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passenger car | 9.6 | |
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silhouette | 9.1 | |
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road | 9 | |
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station | 8.8 | |
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man | 8.7 | |
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lamp | 8.7 | |
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light | 8.7 | |
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glass | 8.6 | |
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dirty | 8.1 | |
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scene | 7.8 | |
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windows | 7.7 | |
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sky | 7.6 | |
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decoration | 7.6 | |
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sign | 7.5 | |
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passenger | 7.4 | |
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equipment | 7.4 | |
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track | 7.3 | |
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tourist | 7.2 | |
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history | 7.1 | |
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Google
created on 2019-11-16
Photograph | 97.3 | |
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Snapshot | 87.7 | |
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Photographic paper | 85.5 | |
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Picture frame | 84.7 | |
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Photography | 79.1 | |
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Room | 78 | |
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Black-and-white | 74.4 | |
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Photograph album | 69 | |
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Art | 62.5 | |
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Stock photography | 62.1 | |
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Interior design | 55.2 | |
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Collection | 50 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 50-68 |
Gender | Male, 50.4% |
Sad | 50% |
Angry | 49.5% |
Calm | 49.8% |
Happy | 49.6% |
Surprised | 49.5% |
Confused | 49.5% |
Disgusted | 49.5% |
Fear | 49.5% |

AWS Rekognition
Age | 50-68 |
Gender | Male, 50.5% |
Calm | 49.8% |
Confused | 49.5% |
Happy | 49.9% |
Disgusted | 49.5% |
Surprised | 49.5% |
Sad | 49.6% |
Fear | 49.5% |
Angry | 49.6% |

AWS Rekognition
Age | 20-32 |
Gender | Male, 50.1% |
Sad | 50% |
Surprised | 49.5% |
Angry | 49.5% |
Confused | 49.5% |
Fear | 49.9% |
Happy | 49.5% |
Calm | 49.6% |
Disgusted | 49.5% |

AWS Rekognition
Age | 12-22 |
Gender | Male, 50.2% |
Sad | 50.1% |
Fear | 49.5% |
Disgusted | 49.5% |
Angry | 49.5% |
Happy | 49.6% |
Confused | 49.5% |
Calm | 49.8% |
Surprised | 49.5% |

AWS Rekognition
Age | 26-40 |
Gender | Female, 50.1% |
Disgusted | 49.5% |
Sad | 50.3% |
Confused | 49.5% |
Happy | 49.5% |
Fear | 49.5% |
Surprised | 49.5% |
Calm | 49.6% |
Angry | 49.5% |

AWS Rekognition
Age | 37-55 |
Gender | Male, 50.1% |
Disgusted | 49.5% |
Fear | 49.6% |
Calm | 49.7% |
Surprised | 49.5% |
Angry | 49.6% |
Confused | 49.5% |
Happy | 49.9% |
Sad | 49.6% |

AWS Rekognition
Age | 20-32 |
Gender | Male, 50.3% |
Confused | 49.5% |
Calm | 49.5% |
Surprised | 49.5% |
Fear | 49.5% |
Happy | 49.5% |
Angry | 49.5% |
Sad | 50.4% |
Disgusted | 49.5% |

AWS Rekognition
Age | 32-48 |
Gender | Male, 50.5% |
Happy | 49.5% |
Disgusted | 49.5% |
Sad | 50.2% |
Angry | 49.5% |
Surprised | 49.5% |
Fear | 49.5% |
Calm | 49.8% |
Confused | 49.5% |
Feature analysis
Categories
Imagga
paintings art | 52.9% | |
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food drinks | 44.9% | |
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Captions
Microsoft
created on 2019-11-16
a group of people standing in front of a television | 83.5% | |
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a group of people standing in a room | 83.4% | |
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a group of people that are standing in front of a television | 73.6% | |
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Text analysis
Amazon

Smpscige

Srpeion

Stupecior
Spscier

Stupecior

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