Machine Generated Data
Tags
Amazon
created on 2019-06-06
Person | 99.1 | |
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Human | 99.1 | |
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Person | 98.6 | |
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Person | 97.9 | |
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Person | 97.6 | |
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Person | 97.5 | |
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Person | 97 | |
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Person | 95.7 | |
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Person | 95.3 | |
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Crowd | 88.9 | |
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Person | 85 | |
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Person | 84.2 | |
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Audience | 83 | |
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Painting | 81.7 | |
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Art | 81.7 | |
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People | 79.1 | |
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Person | 76.6 | |
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Person | 76.3 | |
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Person | 72.2 | |
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Indoors | 71.7 | |
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Room | 71.7 | |
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Clothing | 71 | |
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Apparel | 71 | |
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Text | 70.6 | |
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Person | 67.5 | |
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Person | 65 | |
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Hat | 57.9 | |
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Person | 56.6 | |
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Pub | 55.6 | |
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Person | 54.4 | |
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Person | 53 | |
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Clarifai
created on 2019-06-06
Imagga
created on 2019-06-06
room | 31.1 | |
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classroom | 30.8 | |
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man | 22.8 | |
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people | 21.7 | |
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person | 18.9 | |
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male | 18.4 | |
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adult | 14.5 | |
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old | 13.9 | |
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men | 13.7 | |
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military | 12.5 | |
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vintage | 12.5 | |
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business | 11.5 | |
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group | 11.3 | |
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human | 11.2 | |
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soldier | 10.7 | |
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war | 10.6 | |
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teacher | 10.4 | |
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respirator | 10.3 | |
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power | 10.1 | |
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dirty | 9.9 | |
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gun | 9.7 | |
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portrait | 9.7 | |
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mask | 9.6 | |
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scene | 9.5 | |
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hospital | 9.4 | |
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symbol | 9.4 | |
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grunge | 9.4 | |
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uniform | 9.3 | |
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city | 9.1 | |
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protection | 9.1 | |
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danger | 9.1 | |
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industrial | 9.1 | |
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sign | 9 | |
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transportation | 9 | |
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team | 8.9 | |
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activity | 8.9 | |
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army | 8.8 | |
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art | 8.5 | |
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travel | 8.4 | |
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dark | 8.3 | |
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life | 8.2 | |
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window | 8.2 | |
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retro | 8.2 | |
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iron lung | 8 | |
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drawing | 7.9 | |
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world | 7.8 | |
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education | 7.8 | |
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ancient | 7.8 | |
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crowd | 7.7 | |
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hand | 7.6 | |
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student | 7.5 | |
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weapon | 7.4 | |
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time | 7.3 | |
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game | 7.1 | |
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family | 7.1 | |
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antique | 7.1 | |
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architecture | 7 | |
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Google
created on 2019-06-06
Photograph | 96.3 | |
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People | 93.4 | |
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Snapshot | 84.9 | |
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Crowd | 69.2 | |
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Stock photography | 64 | |
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Event | 62.7 | |
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Photography | 62.4 | |
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History | 57.6 | |
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Family | 52.5 | |
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Art | 50.2 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 20-38 |
Gender | Female, 92.9% |
Disgusted | 4.3% |
Calm | 28.4% |
Confused | 19.6% |
Happy | 21.2% |
Surprised | 14.3% |
Angry | 5.2% |
Sad | 7% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 87.5% |
Angry | 17.6% |
Happy | 14.5% |
Calm | 31.6% |
Confused | 6.3% |
Sad | 4.9% |
Disgusted | 16.6% |
Surprised | 8.6% |

AWS Rekognition
Age | 14-25 |
Gender | Female, 56.2% |
Happy | 0.4% |
Calm | 5.8% |
Sad | 90.2% |
Surprised | 0.5% |
Angry | 1.6% |
Confused | 0.6% |
Disgusted | 0.9% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 52.1% |
Angry | 45.1% |
Surprised | 45.1% |
Calm | 45.2% |
Happy | 45.2% |
Confused | 45.1% |
Disgusted | 45.1% |
Sad | 54.3% |

AWS Rekognition
Age | 30-47 |
Gender | Male, 58.7% |
Angry | 5.2% |
Calm | 24.2% |
Surprised | 19.5% |
Sad | 7.8% |
Disgusted | 4.9% |
Happy | 26.3% |
Confused | 12.1% |

AWS Rekognition
Age | 27-44 |
Gender | Male, 51% |
Angry | 49.8% |
Confused | 45.1% |
Calm | 45.2% |
Surprised | 45% |
Sad | 49.7% |
Happy | 45% |
Disgusted | 45.1% |

AWS Rekognition
Age | 12-22 |
Gender | Female, 52.9% |
Happy | 45.1% |
Angry | 47.4% |
Calm | 45.2% |
Sad | 51.5% |
Surprised | 45.1% |
Confused | 45.2% |
Disgusted | 45.6% |

AWS Rekognition
Age | 14-25 |
Gender | Female, 52.1% |
Calm | 46.8% |
Confused | 45.4% |
Happy | 45.3% |
Surprised | 45.9% |
Angry | 45.9% |
Disgusted | 45.6% |
Sad | 50.2% |

AWS Rekognition
Age | 6-13 |
Gender | Female, 53.5% |
Angry | 45.3% |
Happy | 45.1% |
Disgusted | 45.1% |
Confused | 45.2% |
Calm | 52.2% |
Surprised | 45.3% |
Sad | 46.8% |

AWS Rekognition
Age | 11-18 |
Gender | Female, 51.9% |
Calm | 53.3% |
Surprised | 45.1% |
Happy | 45.1% |
Angry | 45.2% |
Confused | 45.2% |
Sad | 46.1% |
Disgusted | 45.1% |

AWS Rekognition
Age | 12-22 |
Gender | Female, 54.8% |
Calm | 46% |
Angry | 45.7% |
Happy | 45.8% |
Sad | 51.7% |
Surprised | 45.3% |
Confused | 45.2% |
Disgusted | 45.3% |

AWS Rekognition
Age | 12-22 |
Gender | Female, 52% |
Calm | 50.6% |
Sad | 47.2% |
Happy | 45.6% |
Confused | 45.3% |
Angry | 45.2% |
Surprised | 45.6% |
Disgusted | 45.4% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 53.2% |
Calm | 45.4% |
Sad | 46.9% |
Angry | 51.4% |
Surprised | 45.2% |
Disgusted | 45.2% |
Confused | 45.2% |
Happy | 45.6% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 54.4% |
Calm | 50.8% |
Confused | 45.3% |
Happy | 45.3% |
Surprised | 45.7% |
Angry | 45.6% |
Disgusted | 45.7% |
Sad | 46.7% |

AWS Rekognition
Age | 12-22 |
Gender | Male, 50.1% |
Confused | 49.5% |
Disgusted | 49.5% |
Angry | 49.5% |
Calm | 49.7% |
Sad | 50.2% |
Happy | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 52.9% |
Sad | 54.5% |
Surprised | 45.1% |
Confused | 45.1% |
Angry | 45.1% |
Happy | 45.1% |
Calm | 45.1% |
Disgusted | 45.1% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 52.2% |
Calm | 47% |
Happy | 45.5% |
Confused | 45.4% |
Sad | 49.6% |
Angry | 46.5% |
Surprised | 45.5% |
Disgusted | 45.5% |

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

AWS Rekognition
Age | 38-57 |
Gender | Female, 52.9% |
Angry | 45.5% |
Disgusted | 45.5% |
Calm | 48% |
Surprised | 45.6% |
Happy | 45.3% |
Sad | 49.4% |
Confused | 45.7% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 50.3% |
Sad | 49.9% |
Confused | 49.6% |
Calm | 49.6% |
Disgusted | 49.6% |
Angry | 49.6% |
Surprised | 49.6% |
Happy | 49.7% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 53.2% |
Confused | 45.5% |
Sad | 45.7% |
Disgusted | 45.1% |
Angry | 45.1% |
Happy | 46.4% |
Calm | 51.9% |
Surprised | 45.3% |

Microsoft Cognitive Services
Age | 41 |
Gender | Female |

Microsoft Cognitive Services
Age | 18 |
Gender | Female |

Microsoft Cognitive Services
Age | 23 |
Gender | Male |

Microsoft Cognitive Services
Age | 13 |
Gender | Female |

Microsoft Cognitive Services
Age | 30 |
Gender | Female |

Microsoft Cognitive Services
Age | 8 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Likely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
streetview architecture | 66.6% | |
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events parties | 11.3% | |
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interior objects | 10.7% | |
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paintings art | 5.7% | |
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cars vehicles | 1.5% | |
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text visuals | 1.1% | |
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nature landscape | 1.1% | |
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food drinks | 1.1% | |
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Captions
Microsoft
created on 2019-06-06
a group of people posing for a photo | 97.5% | |
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a group of people posing for the camera | 97.4% | |
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a group of people posing for a picture | 97.3% | |
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Text analysis
Amazon

the

row

from

kooks

Worting to row kooks from the library

Worting

library

to

Woiting to arow books trom the library

Woiting

to

arow

books

trom

the

library