Machine Generated Data
Tags
Amazon
created on 2019-06-07
Clarifai
created on 2019-06-07
Imagga
created on 2019-06-07
Google
created on 2019-06-07
Games | 96.1 | |
| ||
Billiard room | 95.8 | |
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Indoor games and sports | 94 | |
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Pool | 93 | |
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Table | 92.8 | |
| ||
Room | 92.5 | |
| ||
Recreation room | 88.7 | |
| ||
Furniture | 88 | |
| ||
Snooker | 87.4 | |
| ||
Billiards | 84 | |
| ||
Carom billiards | 83.9 | |
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English billiards | 82.6 | |
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Recreation | 81.7 | |
| ||
Billiard table | 77.2 | |
| ||
Building | 53.4 | |
|
Microsoft
created on 2019-06-07
table | 99.8 | |
| ||
floor | 97.1 | |
| ||
furniture | 96.2 | |
| ||
indoor | 95.7 | |
| ||
indoor games and sports | 89.7 | |
| ||
billiard table | 89.2 | |
| ||
recreation room | 85.7 | |
| ||
billiards | 79.8 | |
| ||
billiard room | 78.4 | |
| ||
blackball (pool) | 75.8 | |
| ||
games | 73.2 | |
| ||
pool | 73.2 | |
| ||
billiard ball | 72.5 | |
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english billiards | 71.2 | |
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straight pool | 69.6 | |
| ||
pocket billiards | 64.4 | |
| ||
nine-ball | 61.2 | |
| ||
old | 52.4 | |
| ||
snooker | 52.3 | |
| ||
eight-ball | 50.5 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 35-52 |
Gender | Male, 54.4% |
Angry | 45.1% |
Happy | 54% |
Confused | 45.1% |
Disgusted | 45.1% |
Sad | 45.1% |
Surprised | 45.1% |
Calm | 45.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.9% |
Confused | 45.5% |
Sad | 45.8% |
Disgusted | 45.2% |
Calm | 49.6% |
Happy | 47.7% |
Surprised | 45.5% |
Angry | 45.6% |

AWS Rekognition
Age | 29-45 |
Gender | Male, 55% |
Surprised | 45.2% |
Confused | 45.2% |
Disgusted | 45.2% |
Angry | 45.1% |
Calm | 46% |
Happy | 53.1% |
Sad | 45.3% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 54.8% |
Disgusted | 45.4% |
Surprised | 45.3% |
Confused | 45.5% |
Sad | 47.9% |
Happy | 46% |
Calm | 49.4% |
Angry | 45.5% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 53.6% |
Happy | 45% |
Angry | 45.1% |
Calm | 45.1% |
Sad | 54.6% |
Confused | 45.1% |
Disgusted | 45.1% |
Surprised | 45% |

AWS Rekognition
Age | 45-66 |
Gender | Female, 51.6% |
Sad | 46.3% |
Calm | 45.6% |
Angry | 46.8% |
Happy | 45.4% |
Disgusted | 50.1% |
Confused | 45.5% |
Surprised | 45.3% |

AWS Rekognition
Age | 30-47 |
Gender | Male, 50.5% |
Sad | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |
Happy | 50.4% |
Angry | 49.5% |
Surprised | 49.5% |
Calm | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 53.1% |
Sad | 46.7% |
Surprised | 45.4% |
Disgusted | 46.7% |
Calm | 47.8% |
Angry | 46% |
Happy | 46.9% |
Confused | 45.5% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 50% |
Happy | 49.5% |
Sad | 49.6% |
Surprised | 49.5% |
Angry | 49.6% |
Calm | 49.6% |
Disgusted | 50% |
Confused | 49.5% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.5% |
Disgusted | 49.5% |
Surprised | 49.6% |
Happy | 50.1% |
Calm | 49.7% |
Angry | 49.5% |
Sad | 49.6% |
Confused | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.5% |
Surprised | 49.6% |
Confused | 49.5% |
Disgusted | 49.6% |
Angry | 49.6% |
Calm | 49.7% |
Happy | 49.8% |
Sad | 49.7% |
Feature analysis
Categories
Imagga
interior objects | 99.9% | |
|
Captions
Microsoft
created on 2019-06-07
a vintage photo of a group of people standing in a room | 96.3% | |
| ||
a vintage photo of a group of people in a room | 96.2% | |
| ||
a vintage photo of a group of people standing around a table | 91.9% | |
|
Text analysis
Amazon

HAP

22631-c

Tes:

7.3
NAVY
HAP
32631-c

7.3

NAVY

HAP

32631-c