Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
architecture | 41.1 | |
| ||
vehicle | 34 | |
| ||
building | 31.1 | |
| ||
graffito | 28.7 | |
| ||
old | 27.9 | |
| ||
history | 26.8 | |
| ||
military vehicle | 26 | |
| ||
city | 25.8 | |
| ||
tracked vehicle | 25.4 | |
| ||
stone | 23.8 | |
| ||
travel | 22.5 | |
| ||
ancient | 22.5 | |
| ||
decoration | 19 | |
| ||
monument | 18.7 | |
| ||
wheeled vehicle | 18.6 | |
| ||
tank | 18.2 | |
| ||
wall | 17.5 | |
| ||
tourism | 17.3 | |
| ||
sculpture | 17.2 | |
| ||
town | 16.7 | |
| ||
landmark | 16.3 | |
| ||
culture | 16.2 | |
| ||
street | 15.6 | |
| ||
cannon | 15.6 | |
| ||
historic | 15.6 | |
| ||
conveyance | 15.5 | |
| ||
half track | 15.2 | |
| ||
house | 14.3 | |
| ||
famous | 14 | |
| ||
armored vehicle | 13.2 | |
| ||
urban | 13.1 | |
| ||
construction | 12.8 | |
| ||
religion | 12.5 | |
| ||
brick | 12.2 | |
| ||
artillery | 12.2 | |
| ||
structure | 12 | |
| ||
statue | 11.8 | |
| ||
medieval | 11.5 | |
| ||
buildings | 10.4 | |
| ||
antique | 10.4 | |
| ||
historical | 10.4 | |
| ||
vintage | 9.9 | |
| ||
weaponry | 9.8 | |
| ||
scene | 9.5 | |
| ||
place | 9.3 | |
| ||
gun | 9.3 | |
| ||
church | 9.2 | |
| ||
armament | 9.2 | |
| ||
palace | 9.2 | |
| ||
field artillery | 9 | |
| ||
tower | 9 | |
| ||
sky | 8.9 | |
| ||
ruin | 8.8 | |
| ||
houses | 8.7 | |
| ||
art | 8.5 | |
| ||
high-angle gun | 8.3 | |
| ||
exterior | 8.3 | |
| ||
road | 8.1 | |
| ||
temple | 8 | |
| ||
weapon | 7.9 | |
| ||
heritage | 7.7 | |
| ||
grunge | 7.7 | |
| ||
cityscape | 7.6 | |
| ||
memorial | 7.5 | |
| ||
transportation | 7.2 | |
| ||
center | 7.1 | |
| ||
day | 7.1 | |
| ||
stairs | 7.1 | |
|
Google
created on 2019-06-05
Photograph | 94.8 | |
| ||
People | 93.9 | |
| ||
Soldier | 71.9 | |
| ||
Uniform | 70.8 | |
| ||
Military organization | 70.3 | |
| ||
Troop | 68.4 | |
| ||
Infantry | 62.5 | |
| ||
History | 57.6 | |
| ||
Military uniform | 55.4 | |
| ||
Paper product | 50.3 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 10-15 |
Gender | Female, 54.8% |
Sad | 45.6% |
Happy | 47.1% |
Disgusted | 45.9% |
Surprised | 45.4% |
Calm | 50.2% |
Confused | 45.3% |
Angry | 45.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 51.6% |
Confused | 45.1% |
Disgusted | 45.2% |
Calm | 45.3% |
Angry | 45.1% |
Happy | 46.2% |
Surprised | 45.1% |
Sad | 53% |

AWS Rekognition
Age | 14-25 |
Gender | Male, 51.8% |
Confused | 45% |
Happy | 54.8% |
Angry | 45% |
Sad | 45% |
Calm | 45.1% |
Disgusted | 45% |
Surprised | 45% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 54.6% |
Disgusted | 45.1% |
Angry | 46.7% |
Surprised | 45.1% |
Happy | 45.3% |
Sad | 51% |
Calm | 46.8% |
Confused | 45.1% |

AWS Rekognition
Age | 30-47 |
Gender | Male, 53.3% |
Calm | 45.6% |
Surprised | 45.3% |
Disgusted | 45.7% |
Angry | 46.9% |
Happy | 45.9% |
Sad | 49.6% |
Confused | 45.9% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 54.8% |
Disgusted | 45.3% |
Confused | 45.1% |
Angry | 45.5% |
Sad | 50.9% |
Surprised | 45.2% |
Happy | 45.6% |
Calm | 47.3% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 54.9% |
Calm | 51.1% |
Sad | 45.3% |
Surprised | 45.5% |
Happy | 46.6% |
Disgusted | 45.7% |
Confused | 45.3% |
Angry | 45.5% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 54.1% |
Disgusted | 45.1% |
Surprised | 45% |
Happy | 45.1% |
Calm | 45.4% |
Angry | 45.7% |
Sad | 53.7% |
Confused | 45% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 52.4% |
Happy | 45.2% |
Confused | 45.1% |
Calm | 51% |
Surprised | 45.2% |
Sad | 46.6% |
Disgusted | 45.4% |
Angry | 46.5% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 53.3% |
Confused | 45% |
Sad | 54.2% |
Calm | 45.3% |
Happy | 45.1% |
Angry | 45.2% |
Surprised | 45% |
Disgusted | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 52.3% |
Sad | 45.2% |
Angry | 45.2% |
Calm | 53.9% |
Confused | 45.1% |
Happy | 45.2% |
Surprised | 45.1% |
Disgusted | 45.2% |

AWS Rekognition
Age | 30-47 |
Gender | Female, 53.2% |
Calm | 48.4% |
Sad | 46.8% |
Confused | 45.1% |
Happy | 46.8% |
Angry | 47.2% |
Disgusted | 45.3% |
Surprised | 45.4% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 55% |
Disgusted | 46.8% |
Calm | 47% |
Confused | 45.5% |
Surprised | 45.3% |
Happy | 46% |
Angry | 46.8% |
Sad | 47.5% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 54.2% |
Disgusted | 45.1% |
Happy | 46.2% |
Surprised | 45.6% |
Calm | 49.5% |
Angry | 45.5% |
Confused | 45.6% |
Sad | 47.5% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 54.2% |
Sad | 54.8% |
Surprised | 45% |
Confused | 45% |
Disgusted | 45% |
Happy | 45% |
Calm | 45.1% |
Angry | 45% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 53.1% |
Calm | 45.3% |
Surprised | 45.1% |
Disgusted | 45.3% |
Confused | 45.2% |
Happy | 53.9% |
Angry | 45.1% |
Sad | 45.2% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 54.7% |
Surprised | 45.5% |
Angry | 45.5% |
Calm | 48.3% |
Disgusted | 47.6% |
Confused | 45.2% |
Happy | 46.9% |
Sad | 46% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 53.2% |
Disgusted | 46.6% |
Surprised | 45.5% |
Angry | 45.9% |
Confused | 45.2% |
Sad | 45.6% |
Calm | 50.9% |
Happy | 45.4% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 51.1% |
Surprised | 45.7% |
Sad | 48% |
Angry | 45.7% |
Disgusted | 45.3% |
Calm | 49.2% |
Happy | 45.6% |
Confused | 45.4% |

Microsoft Cognitive Services
Age | 4 |
Gender | Female |

Microsoft Cognitive Services
Age | 18 |
Gender | Female |

Microsoft Cognitive Services
Age | 4 |
Gender | Male |

Microsoft Cognitive Services
Age | 10 |
Gender | Female |

Microsoft Cognitive Services
Age | 22 |
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
interior objects | 46.1% | |
| ||
paintings art | 31% | |
| ||
streetview architecture | 19.2% | |
| ||
food drinks | 2% | |
|
Captions
Microsoft
created on 2019-06-05
a vintage photo of a group of people posing for the camera | 83% | |
| ||
a vintage photo of a group of people posing for a picture | 82.9% | |
| ||
a vintage photo of an old building | 82.8% | |
|