Machine Generated Data
Tags
Amazon
created on 2021-12-14
Clarifai
created on 2023-10-22
people | 99.4 | |
| ||
adult | 97.8 | |
| ||
man | 97.5 | |
| ||
two | 96.5 | |
| ||
woman | 95.1 | |
| ||
monochrome | 95.1 | |
| ||
aircraft | 93.3 | |
| ||
portrait | 93.2 | |
| ||
vehicle | 92.4 | |
| ||
group together | 90.5 | |
| ||
recreation | 89.5 | |
| ||
group | 89.2 | |
| ||
transportation system | 87.9 | |
| ||
three | 85.5 | |
| ||
airplane | 82.9 | |
| ||
girl | 81.4 | |
| ||
one | 79.9 | |
| ||
couple | 75.8 | |
| ||
sitting | 75.1 | |
| ||
music | 74.9 | |
|
Imagga
created on 2021-12-14
rotor | 23 | |
| ||
device | 21.3 | |
| ||
tail rotor | 17.2 | |
| ||
mechanism | 16.6 | |
| ||
rotating mechanism | 14.4 | |
| ||
sky | 14 | |
| ||
metal | 12.9 | |
| ||
handsaw | 12.7 | |
| ||
aviator | 12.7 | |
| ||
tool | 10.9 | |
| ||
black | 10.8 | |
| ||
military | 10.6 | |
| ||
equipment | 10.6 | |
| ||
saw | 10.4 | |
| ||
machine | 10.4 | |
| ||
people | 10 | |
| ||
technology | 9.6 | |
| ||
light | 8.7 | |
| ||
hand tool | 8.6 | |
| ||
business | 8.5 | |
| ||
person | 8.4 | |
| ||
protection | 8.2 | |
| ||
transportation | 8.1 | |
| ||
design | 8 | |
| ||
fastener | 7.8 | |
| ||
work | 7.8 | |
| ||
adult | 7.8 | |
| ||
weapon | 7.6 | |
| ||
happy | 7.5 | |
| ||
war | 7.3 | |
| ||
transport | 7.3 | |
| ||
aircraft | 7.2 | |
| ||
color | 7.2 | |
| ||
sexy | 7.2 | |
| ||
hand | 7.2 | |
| ||
steel | 7.1 | |
|
Google
created on 2021-12-14
Sky | 95.7 | |
| ||
Flash photography | 87.7 | |
| ||
Gesture | 85.3 | |
| ||
Black-and-white | 84.6 | |
| ||
Style | 83.9 | |
| ||
Happy | 82 | |
| ||
Elbow | 80.1 | |
| ||
Monochrome photography | 72.1 | |
| ||
Monochrome | 70.7 | |
| ||
Event | 70.1 | |
| ||
Stock photography | 63.6 | |
| ||
Recreation | 63.1 | |
| ||
Room | 59.8 | |
| ||
Human leg | 59.7 | |
| ||
Helicopter | 57.9 | |
| ||
Chest | 56.7 | |
| ||
Team | 56 | |
| ||
T-shirt | 55.3 | |
| ||
Crew | 52.5 | |
| ||
Rotorcraft | 52.5 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 26-40 |
Gender | Male, 85.5% |
Calm | 90.9% |
Angry | 3.8% |
Sad | 2.2% |
Happy | 0.9% |
Confused | 0.7% |
Surprised | 0.7% |
Fear | 0.4% |
Disgusted | 0.4% |

AWS Rekognition
Age | 20-32 |
Gender | Male, 99.6% |
Happy | 68.5% |
Calm | 17.7% |
Confused | 4% |
Disgusted | 3.8% |
Angry | 1.9% |
Surprised | 1.4% |
Fear | 1.3% |
Sad | 1.3% |

AWS Rekognition
Age | 20-32 |
Gender | Male, 95.2% |
Calm | 34.1% |
Angry | 28.7% |
Confused | 13.7% |
Surprised | 7.9% |
Happy | 5.6% |
Sad | 3.8% |
Disgusted | 3.6% |
Fear | 2.7% |

AWS Rekognition
Age | 18-30 |
Gender | Male, 97.6% |
Calm | 50.1% |
Angry | 24.3% |
Confused | 11.2% |
Disgusted | 5.5% |
Surprised | 4.6% |
Fear | 2.7% |
Sad | 1.2% |
Happy | 0.4% |

AWS Rekognition
Age | 31-47 |
Gender | Male, 78.3% |
Disgusted | 53.2% |
Calm | 23.1% |
Sad | 5.2% |
Confused | 4.8% |
Happy | 4.6% |
Fear | 4.2% |
Angry | 2.7% |
Surprised | 2.2% |

AWS Rekognition
Age | 13-23 |
Gender | Male, 50.1% |
Fear | 36.8% |
Calm | 23.9% |
Surprised | 17.9% |
Happy | 7.2% |
Confused | 5.5% |
Sad | 4% |
Angry | 2.8% |
Disgusted | 2% |

AWS Rekognition
Age | 21-33 |
Gender | Male, 86.5% |
Surprised | 88.6% |
Fear | 4% |
Calm | 2% |
Happy | 1.8% |
Confused | 1.4% |
Angry | 1.2% |
Disgusted | 0.6% |
Sad | 0.4% |

AWS Rekognition
Age | 19-31 |
Gender | Female, 58.5% |
Calm | 87.9% |
Disgusted | 3% |
Surprised | 2.6% |
Happy | 2% |
Angry | 1.6% |
Sad | 1.6% |
Confused | 0.9% |
Fear | 0.4% |

Microsoft Cognitive Services
Age | 27 |
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 | 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 | 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 | Unlikely |
Blurred | Likely |
Feature analysis
Amazon
Person
Helicopter
Wheel
Categories
Imagga
interior objects | 93.1% | |
| ||
food drinks | 3.7% | |
| ||
cars vehicles | 1.4% | |
|
Captions
Microsoft
created on 2021-12-14
Ángel Nieto sitting on a boat | 62.7% | |
| ||
Ángel Nieto sitting in a boat | 62.6% | |
| ||
Ángel Nieto et al. sitting on a boat | 53.9% | |
|
Text analysis
Amazon

nm