Machine Generated Data
Tags
Amazon
created on 2022-03-18
Clarifai
created on 2025-01-10
car | 99.8 | |
| ||
people | 99.7 | |
| ||
vehicle | 99.4 | |
| ||
convertible | 99.3 | |
| ||
transportation system | 98.6 | |
| ||
woman | 95 | |
| ||
many | 94.9 | |
| ||
adult | 94.3 | |
| ||
man | 94 | |
| ||
group together | 93.6 | |
| ||
two | 88.5 | |
| ||
driver | 87.3 | |
| ||
group | 83.2 | |
| ||
limousine | 81 | |
| ||
police | 79.6 | |
| ||
retro | 79 | |
| ||
military | 76.3 | |
| ||
administration | 73.8 | |
| ||
one | 72.8 | |
| ||
road | 71 | |
|
Imagga
created on 2022-03-18
convertible | 100 | |
| ||
car | 100 | |
| ||
motor vehicle | 100 | |
| ||
vehicle | 60.9 | |
| ||
automobile | 55.5 | |
| ||
auto | 54.6 | |
| ||
transportation | 50.2 | |
| ||
speed | 43.1 | |
| ||
wheeled vehicle | 39.1 | |
| ||
transport | 37.4 | |
| ||
luxury | 35.2 | |
| ||
drive | 34 | |
| ||
motor | 33.9 | |
| ||
wheel | 33.8 | |
| ||
road | 32.5 | |
| ||
fast | 30.9 | |
| ||
engine | 23.1 | |
| ||
expensive | 22 | |
| ||
power | 21.8 | |
| ||
race | 20.1 | |
| ||
style | 20 | |
| ||
sports | 19.4 | |
| ||
driving | 19.3 | |
| ||
tire | 19.2 | |
| ||
modern | 18.2 | |
| ||
sport | 18.1 | |
| ||
automotive | 17.7 | |
| ||
wheels | 17.6 | |
| ||
chrome | 17 | |
| ||
design | 16.9 | |
| ||
travel | 16.2 | |
| ||
metal | 16.1 | |
| ||
classic | 15.8 | |
| ||
vintage | 15.7 | |
| ||
street | 15.6 | |
| ||
retro | 15.6 | |
| ||
shiny | 15 | |
| ||
black | 15 | |
| ||
model | 14.8 | |
| ||
headlight | 14.8 | |
| ||
light | 14.7 | |
| ||
bumper | 14.5 | |
| ||
traffic | 14.3 | |
| ||
old | 13.9 | |
| ||
elegant | 13.7 | |
| ||
racing | 13.7 | |
| ||
sky | 12.8 | |
| ||
cars | 12.7 | |
| ||
limousine | 12.7 | |
| ||
sedan | 12.5 | |
| ||
antique | 12.1 | |
| ||
technology | 11.9 | |
| ||
roadster | 11.9 | |
| ||
amphibian | 11.7 | |
| ||
reflection | 11.4 | |
| ||
machine | 11 | |
| ||
silver | 10.6 | |
| ||
performance | 10.5 | |
| ||
urban | 10.5 | |
| ||
show | 10.4 | |
| ||
motion | 10.3 | |
| ||
tires | 9.9 | |
| ||
hood | 9.8 | |
| ||
new | 9.7 | |
| ||
highway | 9.6 | |
| ||
moving | 9.5 | |
| ||
color | 9.5 | |
| ||
city | 9.1 | |
| ||
detail | 8.8 | |
| ||
lifestyle | 8.7 | |
| ||
lamp | 8.6 | |
| ||
clouds | 8.5 | |
| ||
metallic | 8.3 | |
| ||
prestige | 7.9 | |
| ||
asphalt | 7.8 | |
| ||
high | 7.8 | |
| ||
driver | 7.8 | |
| ||
dream | 7.6 | |
| ||
blur | 7.4 | |
| ||
land | 7.4 | |
| ||
business | 7.3 | |
|
Google
created on 2022-03-18
Tire | 97.7 | |
| ||
Wheel | 97.4 | |
| ||
Vehicle | 94.7 | |
| ||
Car | 92.7 | |
| ||
Automotive lighting | 91.9 | |
| ||
Black | 89.5 | |
| ||
Motor vehicle | 84.2 | |
| ||
Style | 84 | |
| ||
Personal luxury car | 82.2 | |
| ||
Vehicle door | 82.1 | |
| ||
Automotive exterior | 81.4 | |
| ||
Hood | 79 | |
| ||
Automotive design | 77.6 | |
| ||
Classic car | 77.5 | |
| ||
Roadster | 77.4 | |
| ||
Monochrome | 76.5 | |
| ||
Automotive wheel system | 76.4 | |
| ||
Monochrome photography | 72.9 | |
| ||
Full-size car | 71.7 | |
| ||
Antique car | 71.2 | |
|
Microsoft
created on 2022-03-18
text | 93.7 | |
| ||
land vehicle | 89 | |
| ||
vehicle | 88.9 | |
| ||
black and white | 87.1 | |
| ||
car | 78.5 | |
| ||
wheel | 62.6 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 12-20 |
Gender | Male, 74.5% |
Fear | 84.7% |
Sad | 6.2% |
Calm | 4% |
Disgusted | 2.1% |
Angry | 1.4% |
Happy | 0.8% |
Surprised | 0.6% |
Confused | 0.3% |

AWS Rekognition
Age | 20-28 |
Gender | Female, 88.8% |
Fear | 44.5% |
Calm | 15.8% |
Angry | 12.3% |
Happy | 10.6% |
Disgusted | 9.3% |
Sad | 4% |
Confused | 2% |
Surprised | 1.5% |

AWS Rekognition
Age | 16-22 |
Gender | Male, 55.1% |
Surprised | 56.7% |
Calm | 10.4% |
Disgusted | 9.3% |
Sad | 8.9% |
Fear | 7.4% |
Angry | 4.7% |
Happy | 1.4% |
Confused | 1.2% |

AWS Rekognition
Age | 12-20 |
Gender | Male, 86.1% |
Fear | 36.3% |
Angry | 29.9% |
Sad | 12.5% |
Calm | 8.3% |
Confused | 5.5% |
Surprised | 2.9% |
Disgusted | 2.3% |
Happy | 2.3% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 89.6% |
Calm | 40.6% |
Happy | 16.7% |
Sad | 13.8% |
Fear | 12.1% |
Angry | 8.9% |
Disgusted | 4.2% |
Surprised | 2.3% |
Confused | 1.4% |

AWS Rekognition
Age | 27-37 |
Gender | Female, 87.6% |
Calm | 98.3% |
Sad | 0.7% |
Surprised | 0.4% |
Disgusted | 0.3% |
Happy | 0.2% |
Confused | 0.1% |
Fear | 0.1% |
Angry | 0% |

AWS Rekognition
Age | 18-26 |
Gender | Female, 50.9% |
Disgusted | 38.9% |
Calm | 29.2% |
Confused | 8.5% |
Sad | 6.9% |
Angry | 6.5% |
Surprised | 3.5% |
Happy | 3.2% |
Fear | 3.2% |

AWS Rekognition
Age | 28-38 |
Gender | Male, 99% |
Calm | 55.7% |
Sad | 37.2% |
Angry | 4% |
Happy | 1% |
Confused | 0.6% |
Disgusted | 0.6% |
Fear | 0.6% |
Surprised | 0.3% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 98.4% |
Fear | 75.8% |
Calm | 10% |
Sad | 6.6% |
Confused | 1.9% |
Surprised | 1.8% |
Angry | 1.6% |
Happy | 1.5% |
Disgusted | 0.8% |

AWS Rekognition
Age | 28-38 |
Gender | Male, 67.4% |
Calm | 48.4% |
Angry | 19.4% |
Disgusted | 14.8% |
Sad | 6.3% |
Happy | 3.7% |
Surprised | 3.3% |
Fear | 2.1% |
Confused | 1.9% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 70.8% |
Calm | 67.5% |
Fear | 18.8% |
Sad | 7.8% |
Confused | 3% |
Angry | 1% |
Surprised | 0.8% |
Disgusted | 0.7% |
Happy | 0.4% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 89.4% |
Happy | 48.3% |
Sad | 19.8% |
Fear | 16.2% |
Calm | 7.5% |
Disgusted | 5.1% |
Surprised | 1.5% |
Angry | 1.2% |
Confused | 0.3% |

AWS Rekognition
Age | 33-41 |
Gender | Male, 99.9% |
Happy | 31.4% |
Sad | 23.8% |
Calm | 21.9% |
Fear | 11.5% |
Surprised | 4.5% |
Disgusted | 2.8% |
Angry | 2.1% |
Confused | 1.9% |

AWS Rekognition
Age | 2-10 |
Gender | Female, 90.3% |
Calm | 99.6% |
Sad | 0.2% |
Happy | 0.1% |
Fear | 0% |
Surprised | 0% |
Angry | 0% |
Disgusted | 0% |
Confused | 0% |

AWS Rekognition
Age | 18-26 |
Gender | Male, 55.9% |
Angry | 46.5% |
Calm | 31.2% |
Sad | 7% |
Fear | 4.1% |
Happy | 4% |
Disgusted | 3.2% |
Confused | 3.1% |
Surprised | 1% |

AWS Rekognition
Age | 6-16 |
Gender | Male, 95.6% |
Calm | 77.3% |
Sad | 9.3% |
Surprised | 7.1% |
Disgusted | 3.8% |
Happy | 0.9% |
Angry | 0.8% |
Fear | 0.5% |
Confused | 0.2% |

AWS Rekognition
Age | 19-27 |
Gender | Male, 85.1% |
Calm | 71.8% |
Angry | 8.6% |
Confused | 6.3% |
Sad | 4.3% |
Disgusted | 3.5% |
Surprised | 2.2% |
Fear | 2.1% |
Happy | 1.1% |

AWS Rekognition
Age | 16-24 |
Gender | Male, 99.2% |
Disgusted | 41.6% |
Calm | 37.8% |
Sad | 10.8% |
Angry | 5.1% |
Confused | 2% |
Happy | 1.1% |
Surprised | 1.1% |
Fear | 0.5% |

AWS Rekognition
Age | 16-24 |
Gender | Female, 52.1% |
Calm | 47.6% |
Sad | 20.3% |
Angry | 17% |
Fear | 7.5% |
Surprised | 2.3% |
Disgusted | 2.3% |
Happy | 1.6% |
Confused | 1.4% |

AWS Rekognition
Age | 40-48 |
Gender | Female, 92.9% |
Sad | 97.9% |
Calm | 1.2% |
Fear | 0.5% |
Happy | 0.2% |
Angry | 0.1% |
Surprised | 0.1% |
Disgusted | 0.1% |
Confused | 0.1% |

AWS Rekognition
Age | 16-24 |
Gender | Female, 50.4% |
Fear | 84.2% |
Sad | 12.3% |
Calm | 2% |
Confused | 0.4% |
Happy | 0.4% |
Disgusted | 0.3% |
Angry | 0.2% |
Surprised | 0.1% |

AWS Rekognition
Age | 20-28 |
Gender | Male, 90.3% |
Sad | 94.1% |
Calm | 3.8% |
Fear | 1.3% |
Confused | 0.2% |
Disgusted | 0.2% |
Angry | 0.2% |
Surprised | 0.2% |
Happy | 0.1% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 64.8% |
Disgusted | 56.3% |
Fear | 12.5% |
Sad | 10.7% |
Angry | 5.7% |
Calm | 5.6% |
Confused | 4.5% |
Happy | 2.4% |
Surprised | 2.2% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 59.5% |
Calm | 42.8% |
Angry | 23.3% |
Sad | 10.7% |
Disgusted | 5.8% |
Happy | 5.2% |
Fear | 5% |
Confused | 4.3% |
Surprised | 2.9% |

AWS Rekognition
Age | 11-19 |
Gender | Male, 78.6% |
Calm | 41.4% |
Surprised | 33.9% |
Fear | 6.8% |
Sad | 6.7% |
Angry | 4.5% |
Disgusted | 2.9% |
Confused | 1.9% |
Happy | 1.8% |

AWS Rekognition
Age | 1-7 |
Gender | Male, 76.5% |
Calm | 87.3% |
Sad | 5.1% |
Disgusted | 1.8% |
Confused | 1.6% |
Surprised | 1.3% |
Fear | 1.2% |
Happy | 0.9% |
Angry | 0.8% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 89.2% |
Sad | 93.3% |
Calm | 1.8% |
Angry | 1.3% |
Confused | 1.2% |
Disgusted | 1.1% |
Fear | 0.8% |
Happy | 0.3% |
Surprised | 0.2% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 71.2% |
Calm | 96.7% |
Sad | 1.4% |
Confused | 0.7% |
Happy | 0.5% |
Angry | 0.2% |
Disgusted | 0.2% |
Fear | 0.2% |
Surprised | 0.1% |

AWS Rekognition
Age | 13-21 |
Gender | Female, 52.7% |
Calm | 60.6% |
Happy | 17.7% |
Angry | 6.1% |
Sad | 5.7% |
Fear | 4% |
Confused | 2.7% |
Surprised | 2.6% |
Disgusted | 0.7% |

AWS Rekognition
Age | 13-21 |
Gender | Male, 92.8% |
Calm | 42.8% |
Sad | 33.5% |
Surprised | 6.9% |
Happy | 5.6% |
Confused | 3% |
Angry | 2.9% |
Disgusted | 2.7% |
Fear | 2.6% |

AWS Rekognition
Age | 6-14 |
Gender | Male, 93% |
Calm | 91.8% |
Fear | 5.7% |
Sad | 1.5% |
Confused | 0.4% |
Happy | 0.2% |
Surprised | 0.1% |
Disgusted | 0.1% |
Angry | 0.1% |

AWS Rekognition
Age | 24-34 |
Gender | Female, 56.7% |
Calm | 92.1% |
Sad | 4.8% |
Fear | 0.8% |
Happy | 0.7% |
Angry | 0.7% |
Confused | 0.4% |
Disgusted | 0.3% |
Surprised | 0.2% |

AWS Rekognition
Age | 13-21 |
Gender | Male, 91% |
Fear | 97.3% |
Sad | 0.9% |
Surprised | 0.8% |
Calm | 0.6% |
Happy | 0.1% |
Angry | 0.1% |
Disgusted | 0.1% |
Confused | 0.1% |

AWS Rekognition
Age | 39-47 |
Gender | Male, 93.6% |
Fear | 28.9% |
Angry | 20.8% |
Calm | 15.9% |
Surprised | 9.1% |
Happy | 8.9% |
Disgusted | 7% |
Sad | 6.8% |
Confused | 2.5% |

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
cars vehicles | 92.3% | |
| ||
food drinks | 4.7% | |
| ||
interior objects | 1.7% | |
|
Captions
Microsoft
created on 2022-03-18
calendar | 77.2% | |
|
Text analysis
Amazon

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