Machine Generated Data
Tags
Amazon
created on 2019-05-30
Human | 99.7 | |
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Person | 99.7 | |
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Person | 99.7 | |
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Person | 99.7 | |
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Person | 99.7 | |
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Person | 99.7 | |
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Person | 99.2 | |
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Person | 98.9 | |
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Military | 97.2 | |
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Military Uniform | 96.7 | |
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People | 91.1 | |
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Armored | 85.5 | |
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Army | 85.5 | |
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Funeral | 83.7 | |
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Person | 82.5 | |
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Officer | 81.9 | |
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Soldier | 81 | |
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Clothing | 80.2 | |
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Apparel | 80.2 | |
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Helmet | 77.8 | |
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Crowd | 70.3 | |
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Person | 66.5 | |
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Overcoat | 61.9 | |
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Coat | 61.9 | |
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Person | 59.3 | |
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Suit | 57.8 | |
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Troop | 55.6 | |
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Person | 47.4 | |
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Clarifai
created on 2019-05-30
Imagga
created on 2019-05-30
carriage | 31.3 | |
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silhouette | 29 | |
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people | 22.3 | |
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man | 22.2 | |
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sunset | 21.6 | |
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male | 19.1 | |
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transportation | 14.3 | |
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black | 14.1 | |
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sport | 13.9 | |
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men | 12.9 | |
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sky | 12.8 | |
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horse | 12.3 | |
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snow | 12.2 | |
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outdoor | 12.2 | |
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travel | 12 | |
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beach | 11.8 | |
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person | 11.7 | |
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military uniform | 11.2 | |
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landscape | 11.2 | |
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city | 10.8 | |
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dusk | 10.5 | |
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sun | 10.5 | |
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boy | 10.4 | |
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adult | 10.4 | |
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clothing | 10 | |
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activity | 9.8 | |
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outdoors | 9.8 | |
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walking | 9.5 | |
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transport | 9.1 | |
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mountain | 8.9 | |
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urban | 8.7 | |
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dawn | 8.7 | |
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uniform | 8.6 | |
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outside | 8.6 | |
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evening | 8.4 | |
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field | 8.4 | |
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support | 8.2 | |
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device | 8.2 | |
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group | 8.1 | |
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building | 8 | |
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ride | 7.8 | |
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extreme | 7.7 | |
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winter | 7.7 | |
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passenger | 7.6 | |
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world | 7.6 | |
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power | 7.6 | |
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dark | 7.5 | |
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sunrise | 7.5 | |
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harness | 7.5 | |
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hill | 7.5 | |
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cart | 7.4 | |
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light | 7.4 | |
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water | 7.3 | |
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alone | 7.3 | |
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active | 7.2 | |
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night | 7.1 | |
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summer | 7.1 | |
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Google
created on 2019-05-30
Photograph | 96.6 | |
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Photographic paper | 92.4 | |
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Picture frame | 78.1 | |
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Photography | 75.7 | |
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Black-and-white | 74.4 | |
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Stock photography | 66.6 | |
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Room | 65.7 | |
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Art | 65.5 | |
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Photograph album | 62.5 | |
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Album | 50.7 | |
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Microsoft
created on 2019-05-30
clothing | 97 | |
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person | 95.6 | |
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man | 87.1 | |
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black and white | 62.9 | |
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watching | 44.3 | |
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posing | 42.1 | |
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picture frame | 25 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 35-52 |
Gender | Male, 53.2% |
Calm | 53.4% |
Confused | 45.3% |
Happy | 45.1% |
Disgusted | 45.1% |
Surprised | 45.7% |
Angry | 45.2% |
Sad | 45.3% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.1% |
Calm | 51.5% |
Sad | 47.5% |
Angry | 45.4% |
Surprised | 45.1% |
Disgusted | 45.1% |
Confused | 45.3% |
Happy | 45.1% |

AWS Rekognition
Age | 27-44 |
Gender | Male, 50.5% |
Disgusted | 49.7% |
Surprised | 49.5% |
Angry | 49.8% |
Sad | 49.6% |
Happy | 49.6% |
Confused | 49.6% |
Calm | 49.7% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.5% |
Confused | 49.5% |
Surprised | 49.5% |
Disgusted | 49.5% |
Angry | 49.5% |
Calm | 49.6% |
Sad | 49.5% |
Happy | 50.4% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 50.5% |
Disgusted | 49.5% |
Sad | 49.6% |
Angry | 49.5% |
Surprised | 49.5% |
Calm | 50.2% |
Happy | 49.5% |
Confused | 49.6% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.2% |
Sad | 49.5% |
Surprised | 49.5% |
Confused | 49.5% |
Calm | 50.5% |
Happy | 49.5% |
Angry | 49.5% |
Disgusted | 49.5% |

AWS Rekognition
Age | 27-44 |
Gender | Male, 50.4% |
Sad | 49.5% |
Angry | 49.5% |
Disgusted | 49.5% |
Calm | 50.5% |
Confused | 49.5% |
Happy | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.1% |
Calm | 49.6% |
Disgusted | 49.7% |
Surprised | 49.6% |
Confused | 49.6% |
Happy | 49.7% |
Sad | 49.6% |
Angry | 49.7% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 54.9% |
Confused | 45.4% |
Happy | 45.8% |
Angry | 45.7% |
Surprised | 45.6% |
Calm | 49.2% |
Disgusted | 46.1% |
Sad | 47.1% |
Feature analysis
Categories
Imagga
paintings art | 57.4% | |
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text visuals | 16.7% | |
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interior objects | 9.8% | |
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nature landscape | 9.4% | |
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food drinks | 3.3% | |
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events parties | 1.3% | |
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Captions
Microsoft
created on 2019-05-30
a group of people standing in front of a window | 82.5% | |
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a group of people posing for a photo in front of a window | 78.9% | |
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a group of people posing for a photo | 78.8% | |
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