Machine Generated Data
Tags
Amazon
created on 2022-02-11
Clarifai
created on 2023-10-29
club | 99.6 | |
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game | 98.7 | |
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recreation | 98.4 | |
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people | 98 | |
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participate | 97.9 | |
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sport | 97.9 | |
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ball | 97.8 | |
| ||
dug-out pool | 97.6 | |
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man | 97.5 | |
| ||
fun | 97.2 | |
| ||
leisure | 96.5 | |
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woman | 94.4 | |
| ||
cue | 94 | |
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snooker | 93.9 | |
| ||
competition | 93.1 | |
| ||
girl | 92.6 | |
| ||
nightlife | 91.5 | |
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poker | 91.3 | |
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group together | 90.2 | |
| ||
adult | 89.8 | |
|
Imagga
created on 2022-02-11
Google
created on 2022-02-11
Baize | 95.2 | |
| ||
Billiard table | 94.9 | |
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Shirt | 94 | |
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Sports equipment | 93.3 | |
| ||
Table | 91.6 | |
| ||
Billiards | 91 | |
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Billiard room | 90.3 | |
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Recreation room | 89.9 | |
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Cue stick | 89.2 | |
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Pool player | 87.8 | |
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Billiard ball | 87.8 | |
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Straight pool | 87.2 | |
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Ball | 86.6 | |
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Pool | 84.9 | |
| ||
Indoor games and sports | 84.7 | |
| ||
Pocket billiards | 82.5 | |
| ||
Blackball (pool) | 81.7 | |
| ||
Wood | 81.5 | |
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Recreation | 75.6 | |
| ||
Leisure | 73.7 | |
|
Microsoft
created on 2022-02-11
person | 99.8 | |
| ||
man | 90.6 | |
| ||
ball | 87.9 | |
| ||
indoor games and sports | 84.1 | |
| ||
games | 83.2 | |
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table | 78.4 | |
| ||
billiard table | 76.5 | |
| ||
billiards | 65.2 | |
| ||
billiard ball | 64.3 | |
| ||
blackball (pool) | 63.9 | |
| ||
pool | 59.5 | |
| ||
straight pool | 58 | |
| ||
baize | 56.8 | |
| ||
billiard room | 54.5 | |
| ||
recreation room | 53.3 | |
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english billiards | 52.1 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 31-41 |
Gender | Male, 100% |
Calm | 94.2% |
Confused | 3.3% |
Angry | 1.1% |
Sad | 0.6% |
Happy | 0.4% |
Disgusted | 0.2% |
Surprised | 0.2% |
Fear | 0.1% |

AWS Rekognition
Age | 13-21 |
Gender | Male, 97% |
Calm | 86.9% |
Sad | 12.2% |
Confused | 0.6% |
Angry | 0.1% |
Fear | 0% |
Surprised | 0% |
Happy | 0% |
Disgusted | 0% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 99% |
Calm | 94.5% |
Sad | 3.9% |
Confused | 0.4% |
Angry | 0.3% |
Disgusted | 0.3% |
Surprised | 0.3% |
Fear | 0.2% |
Happy | 0.1% |

AWS Rekognition
Age | 23-33 |
Gender | Female, 100% |
Happy | 63.5% |
Fear | 18% |
Calm | 8.7% |
Sad | 3% |
Confused | 2.1% |
Disgusted | 1.7% |
Angry | 1.7% |
Surprised | 1.4% |

AWS Rekognition
Age | 14-22 |
Gender | Male, 87.9% |
Sad | 98.7% |
Calm | 1.1% |
Confused | 0.1% |
Angry | 0% |
Happy | 0% |
Disgusted | 0% |
Surprised | 0% |
Fear | 0% |

Microsoft Cognitive Services
Age | 30 |
Gender | Male |

Microsoft Cognitive Services
Age | 22 |
Gender | Male |

Microsoft Cognitive Services
Age | 21 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | 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 | 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 | Possible |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
events parties | 43.9% | |
| ||
food drinks | 36.6% | |
| ||
people portraits | 16.9% | |
| ||
interior objects | 1.8% | |
|
Captions
Text analysis
Amazon

x

OL

OL 2

COTA

2

EIIA

COTA COV 664A EIIA

EIRN

COV 664A

MJI3 YT37 A2 XA
G 10

MJI3

YT37

A2

XA

G

10