Machine Generated Data
Tags
Amazon
created on 2019-06-05
Human | 99.7 | |
| ||
Person | 99.7 | |
| ||
Person | 99.5 | |
| ||
Person | 99.3 | |
| ||
Person | 98.5 | |
| ||
Person | 98.4 | |
| ||
Person | 97.5 | |
| ||
Military | 97.1 | |
| ||
Military Uniform | 97 | |
| ||
People | 96.8 | |
| ||
Armored | 95 | |
| ||
Army | 95 | |
| ||
Troop | 94.6 | |
| ||
Person | 92.5 | |
| ||
Person | 91.4 | |
| ||
Person | 88 | |
| ||
Person | 83.4 | |
| ||
Outdoors | 82.6 | |
| ||
Person | 82.1 | |
| ||
Soldier | 80.9 | |
| ||
Nature | 78.6 | |
| ||
Officer | 69.3 | |
| ||
Person | 63.8 | |
| ||
Team | 63.2 | |
| ||
Crowd | 63 | |
| ||
Countryside | 57.1 | |
| ||
Police | 55 | |
| ||
Person | 42.8 | |
|
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
military uniform | 81.1 | |
| ||
uniform | 77.5 | |
| ||
clothing | 54.2 | |
| ||
consumer goods | 32.7 | |
| ||
covering | 28.6 | |
| ||
helmet | 24.1 | |
| ||
military | 23.2 | |
| ||
soldier | 21.5 | |
| ||
statue | 19.7 | |
| ||
man | 19.5 | |
| ||
people | 18.4 | |
| ||
male | 17.7 | |
| ||
person | 17.7 | |
| ||
protection | 17.3 | |
| ||
danger | 17.3 | |
| ||
weapon | 17.1 | |
| ||
commodity | 16.2 | |
| ||
gun | 15.8 | |
| ||
war | 15.6 | |
| ||
photographer | 15.3 | |
| ||
army | 14.6 | |
| ||
sport | 14.1 | |
| ||
mask | 13.7 | |
| ||
sculpture | 13.5 | |
| ||
old | 13.2 | |
| ||
armor plate | 12.7 | |
| ||
history | 12.5 | |
| ||
monument | 12.1 | |
| ||
ancient | 12.1 | |
| ||
historic | 11.9 | |
| ||
camouflage | 11.9 | |
| ||
travel | 11.3 | |
| ||
adult | 11.2 | |
| ||
rifle | 10.3 | |
| ||
tourism | 9.9 | |
| ||
men | 9.4 | |
| ||
architecture | 9.4 | |
| ||
battle | 8.8 | |
| ||
art | 8.6 | |
| ||
historical | 8.5 | |
| ||
traditional | 8.3 | |
| ||
city | 8.3 | |
| ||
planner | 8.3 | |
| ||
vintage | 8.3 | |
| ||
industrial | 8.2 | |
| ||
dirty | 8.1 | |
| ||
landmark | 8.1 | |
| ||
activity | 8.1 | |
| ||
destruction | 7.8 | |
| ||
warrior | 7.8 | |
| ||
black | 7.8 | |
| ||
toxic | 7.8 | |
| ||
defense | 7.8 | |
| ||
protective | 7.8 | |
| ||
portrait | 7.8 | |
| ||
nuclear | 7.8 | |
| ||
outdoor | 7.6 | |
| ||
plate | 7.3 | |
| ||
color | 7.2 | |
| ||
building | 7.2 | |
| ||
to | 7.1 | |
|
Google
created on 2019-06-05
Photograph | 96.2 | |
| ||
People | 95 | |
| ||
Social group | 90.5 | |
| ||
Snapshot | 84.7 | |
| ||
Photography | 62.4 | |
| ||
Family | 62.1 | |
| ||
History | 57.6 | |
| ||
Vintage clothing | 57 | |
| ||
Crew | 53.8 | |
| ||
Team | 52.3 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 30-47 |
Gender | Male, 51.4% |
Sad | 46.6% |
Calm | 46.2% |
Surprised | 45.3% |
Disgusted | 47.6% |
Angry | 47.9% |
Happy | 46% |
Confused | 45.3% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 54.9% |
Confused | 45.2% |
Sad | 45.1% |
Surprised | 45.1% |
Disgusted | 45.3% |
Calm | 54% |
Happy | 45% |
Angry | 45.1% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 54.7% |
Happy | 45.1% |
Surprised | 45.1% |
Angry | 45.3% |
Sad | 51.1% |
Confused | 45.3% |
Disgusted | 45.2% |
Calm | 47.9% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.5% |
Sad | 45.7% |
Surprised | 45.5% |
Happy | 45.4% |
Disgusted | 46.8% |
Angry | 46% |
Calm | 50.4% |
Confused | 45.2% |

AWS Rekognition
Age | 35-53 |
Gender | Male, 54.3% |
Angry | 46.2% |
Calm | 49.7% |
Confused | 45.3% |
Sad | 45.5% |
Happy | 45.3% |
Disgusted | 47.8% |
Surprised | 45.2% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 53.4% |
Confused | 45.2% |
Sad | 45.5% |
Calm | 52.9% |
Happy | 45.3% |
Angry | 45.3% |
Surprised | 45.4% |
Disgusted | 45.4% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.3% |
Angry | 45.2% |
Surprised | 45.1% |
Confused | 45.1% |
Sad | 53.4% |
Disgusted | 45.1% |
Happy | 45.9% |
Calm | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.3% |
Happy | 46.3% |
Angry | 47.3% |
Sad | 47.9% |
Calm | 47.1% |
Confused | 45.3% |
Disgusted | 45.8% |
Surprised | 45.3% |

AWS Rekognition
Age | 38-57 |
Gender | Female, 54.7% |
Surprised | 45.4% |
Confused | 45.4% |
Sad | 46.6% |
Calm | 45.5% |
Disgusted | 45.6% |
Happy | 45.3% |
Angry | 51.4% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 53.7% |
Happy | 45.6% |
Confused | 45.4% |
Disgusted | 46% |
Sad | 46.2% |
Calm | 50.3% |
Angry | 45.8% |
Surprised | 45.7% |

AWS Rekognition
Age | 26-44 |
Gender | Female, 53.6% |
Calm | 52.8% |
Sad | 45.5% |
Confused | 45.3% |
Angry | 45.3% |
Disgusted | 45.3% |
Happy | 45.5% |
Surprised | 45.3% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 51.1% |
Happy | 45.7% |
Angry | 45.5% |
Surprised | 45.5% |
Calm | 50.8% |
Sad | 45.9% |
Confused | 45.4% |
Disgusted | 46.2% |

AWS Rekognition
Age | 48-68 |
Gender | Female, 50.5% |
Happy | 45.4% |
Angry | 45.6% |
Surprised | 45.5% |
Calm | 47.7% |
Sad | 45.5% |
Confused | 45.3% |
Disgusted | 50.1% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 52.1% |
Calm | 48.7% |
Confused | 45.2% |
Sad | 45.5% |
Surprised | 45.4% |
Happy | 45.3% |
Disgusted | 45.7% |
Angry | 49.2% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 52.6% |
Calm | 52% |
Confused | 45.3% |
Angry | 46.3% |
Surprised | 45.3% |
Disgusted | 45.4% |
Sad | 45.6% |
Happy | 45.1% |

AWS Rekognition
Age | 45-63 |
Gender | Male, 50% |
Surprised | 45.5% |
Angry | 47% |
Calm | 47.6% |
Disgusted | 45.9% |
Confused | 45.3% |
Happy | 46.3% |
Sad | 47.4% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 53.1% |
Calm | 46.3% |
Disgusted | 45.2% |
Confused | 45.1% |
Angry | 45.4% |
Sad | 52.3% |
Surprised | 45.1% |
Happy | 45.6% |

AWS Rekognition
Age | 38-57 |
Gender | Female, 50.4% |
Sad | 54.8% |
Surprised | 45% |
Happy | 45% |
Angry | 45.1% |
Confused | 45.1% |
Disgusted | 45% |
Calm | 45% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 53.7% |
Sad | 48.2% |
Calm | 50.7% |
Surprised | 45.1% |
Confused | 45.1% |
Angry | 45.3% |
Disgusted | 45.2% |
Happy | 45.4% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 53.2% |
Surprised | 45.3% |
Confused | 45.4% |
Happy | 45.7% |
Angry | 45.4% |
Calm | 52.4% |
Sad | 45.5% |
Disgusted | 45.3% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 51.1% |
Calm | 52.6% |
Disgusted | 45.7% |
Confused | 45.2% |
Angry | 45.7% |
Sad | 45.3% |
Happy | 45.2% |
Surprised | 45.3% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 51.2% |
Disgusted | 46.6% |
Surprised | 45.4% |
Calm | 51.6% |
Angry | 45.7% |
Happy | 45.1% |
Sad | 45.2% |
Confused | 45.3% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 54.2% |
Sad | 52.9% |
Happy | 45.1% |
Angry | 45.2% |
Calm | 46.5% |
Disgusted | 45.1% |
Confused | 45.1% |
Surprised | 45.1% |

Microsoft Cognitive Services
Age | 48 |
Gender | Male |

Microsoft Cognitive Services
Age | 64 |
Gender | Male |

Microsoft Cognitive Services
Age | 51 |
Gender | Male |

Microsoft Cognitive Services
Age | 24 |
Gender | Male |

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 |
Feature analysis
Categories
Imagga
paintings art | 48.6% | |
| ||
interior objects | 36.7% | |
| ||
streetview architecture | 9.8% | |
| ||
beaches seaside | 3.4% | |
|
Captions
Microsoft
created on 2019-06-05
a group of people posing for a photo | 97.1% | |
| ||
a group of people posing for the camera | 97% | |
| ||
a group of people in uniform posing for a photo | 96.3% | |
|