Machine Generated Data
Tags
Amazon
created on 2022-02-04
Car | 99.2 | |
| ||
Automobile | 99.2 | |
| ||
Vehicle | 99.2 | |
| ||
Transportation | 99.2 | |
| ||
Wheel | 96 | |
| ||
Machine | 96 | |
| ||
Human | 93.2 | |
| ||
Convertible | 90.1 | |
| ||
Crowd | 79.2 | |
| ||
Person | 75.2 | |
| ||
Urban | 74.5 | |
| ||
Person | 72.5 | |
| ||
Tire | 71.6 | |
| ||
People | 69.6 | |
| ||
City | 69.2 | |
| ||
Building | 69.2 | |
| ||
Town | 69.2 | |
| ||
Spoke | 69.1 | |
| ||
Sports Car | 68.7 | |
| ||
Hot Rod | 67 | |
| ||
Road | 63.9 | |
| ||
Person | 62 | |
| ||
Car Wheel | 60.8 | |
| ||
Person | 60.1 | |
| ||
Antique Car | 59.6 | |
| ||
Street | 57.4 | |
| ||
Driving | 56.4 | |
| ||
Model T | 55.4 | |
| ||
Wheel | 53.3 | |
|
Clarifai
created on 2023-10-29
people | 99.7 | |
| ||
vehicle | 99.2 | |
| ||
transportation system | 97.6 | |
| ||
car | 97.6 | |
| ||
monochrome | 95.9 | |
| ||
group together | 95.3 | |
| ||
adult | 93.1 | |
| ||
group | 92.7 | |
| ||
many | 92.2 | |
| ||
administration | 91.4 | |
| ||
one | 91.1 | |
| ||
man | 90.9 | |
| ||
street | 90.8 | |
| ||
woman | 90.2 | |
| ||
convertible | 89.8 | |
| ||
two | 89.7 | |
| ||
no person | 83.7 | |
| ||
leader | 81.3 | |
| ||
retro | 81.2 | |
| ||
war | 81.1 | |
|
Imagga
created on 2022-02-04
amphibian | 100 | |
| ||
motor vehicle | 100 | |
| ||
car | 54.1 | |
| ||
wheeled vehicle | 52.5 | |
| ||
vehicle | 50.2 | |
| ||
transportation | 34 | |
| ||
travel | 25.3 | |
| ||
road | 25.3 | |
| ||
automobile | 23 | |
| ||
speed | 22.9 | |
| ||
transport | 21.9 | |
| ||
auto | 20.1 | |
| ||
city | 19.1 | |
| ||
architecture | 18.9 | |
| ||
street | 18.4 | |
| ||
drive | 18 | |
| ||
sky | 15.9 | |
| ||
urban | 15.7 | |
| ||
tourism | 15.7 | |
| ||
light | 15.4 | |
| ||
fast | 14.9 | |
| ||
building | 13.8 | |
| ||
modern | 13.3 | |
| ||
traffic | 13.3 | |
| ||
racing | 12.7 | |
| ||
old | 12.5 | |
| ||
engine | 12.5 | |
| ||
vacation | 12.3 | |
| ||
luxury | 12 | |
| ||
motion | 12 | |
| ||
river | 11.6 | |
| ||
wheel | 11.5 | |
| ||
truck | 11.3 | |
| ||
scene | 11.2 | |
| ||
town | 11.1 | |
| ||
power | 10.9 | |
| ||
motor | 10.6 | |
| ||
highway | 10.6 | |
| ||
expensive | 10.5 | |
| ||
metal | 10.5 | |
| ||
bridge | 10.4 | |
| ||
technology | 10.4 | |
| ||
boat | 10.2 | |
| ||
water | 10 | |
| ||
sport | 9.9 | |
| ||
asphalt | 9.8 | |
| ||
reflection | 9.7 | |
| ||
landscape | 9.7 | |
| ||
race | 9.6 | |
| ||
tourist | 9.1 | |
| ||
black | 9 | |
| ||
cars | 8.8 | |
| ||
ship | 8.6 | |
| ||
blur | 8.4 | |
| ||
vintage | 8.3 | |
| ||
landmark | 8.1 | |
| ||
airport | 8 | |
| ||
station | 8 | |
| ||
tire | 8 | |
| ||
automotive | 7.8 | |
| ||
sea | 7.8 | |
| ||
ocean | 7.5 | |
| ||
outdoors | 7.5 | |
| ||
land | 7.4 | |
| ||
industrial | 7.3 | |
| ||
interior | 7.1 | |
| ||
summer | 7.1 | |
|
Google
created on 2022-02-04
Wheel | 97.4 | |
| ||
Tire | 97.1 | |
| ||
Car | 97 | |
| ||
Vehicle | 94.9 | |
| ||
Motor vehicle | 91.4 | |
| ||
Building | 89.5 | |
| ||
Automotive lighting | 86.8 | |
| ||
Hood | 86.5 | |
| ||
Automotive design | 82.4 | |
| ||
Classic | 76.5 | |
| ||
Monochrome | 76.1 | |
| ||
Classic car | 75.9 | |
| ||
Monochrome photography | 74.1 | |
| ||
Hardtop | 73.2 | |
| ||
Antique car | 67.6 | |
| ||
Automotive exterior | 67.5 | |
| ||
Vintage clothing | 67.1 | |
| ||
Automotive wheel system | 66.4 | |
| ||
Headlamp | 65.9 | |
| ||
Kit car | 65.6 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-33 |
Gender | Male, 84.6% |
Calm | 59.1% |
Sad | 19.3% |
Happy | 10.5% |
Angry | 5.2% |
Disgusted | 1.8% |
Confused | 1.7% |
Fear | 1.7% |
Surprised | 0.8% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 86.5% |
Calm | 54.2% |
Sad | 23.6% |
Happy | 12.7% |
Fear | 5.1% |
Angry | 1.7% |
Disgusted | 1.5% |
Confused | 0.7% |
Surprised | 0.5% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 97.2% |
Calm | 44.3% |
Sad | 22.8% |
Fear | 13.3% |
Happy | 11.2% |
Confused | 3% |
Angry | 2.2% |
Disgusted | 2.1% |
Surprised | 1.1% |

AWS Rekognition
Age | 29-39 |
Gender | Male, 79.1% |
Calm | 67.9% |
Disgusted | 11.2% |
Happy | 6.8% |
Sad | 5.8% |
Angry | 2.8% |
Fear | 1.9% |
Surprised | 1.8% |
Confused | 1.7% |

AWS Rekognition
Age | 20-28 |
Gender | Male, 86.5% |
Calm | 90% |
Sad | 6.4% |
Happy | 1.3% |
Disgusted | 0.8% |
Fear | 0.6% |
Confused | 0.4% |
Angry | 0.3% |
Surprised | 0.1% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 98.9% |
Disgusted | 55.3% |
Sad | 13.4% |
Calm | 8.3% |
Confused | 8.1% |
Angry | 8% |
Surprised | 2.8% |
Happy | 2.4% |
Fear | 1.7% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 94.3% |
Happy | 72.7% |
Calm | 18.9% |
Sad | 2.3% |
Angry | 2% |
Fear | 1.7% |
Surprised | 0.9% |
Disgusted | 0.8% |
Confused | 0.6% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 99.7% |
Calm | 69.2% |
Surprised | 9.3% |
Sad | 6.3% |
Happy | 4.9% |
Fear | 2.8% |
Angry | 2.8% |
Confused | 2.7% |
Disgusted | 2.1% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 98.2% |
Calm | 83.5% |
Happy | 10.5% |
Sad | 2.8% |
Angry | 1.4% |
Disgusted | 0.8% |
Surprised | 0.5% |
Confused | 0.3% |
Fear | 0.3% |

AWS Rekognition
Age | 6-14 |
Gender | Female, 75.4% |
Calm | 51.7% |
Happy | 45% |
Fear | 1% |
Sad | 0.7% |
Angry | 0.5% |
Confused | 0.4% |
Disgusted | 0.3% |
Surprised | 0.3% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 70.6% |
Happy | 39.8% |
Fear | 35.8% |
Sad | 7.9% |
Disgusted | 5.7% |
Calm | 5.2% |
Surprised | 2.9% |
Angry | 2% |
Confused | 0.7% |

AWS Rekognition
Age | 18-24 |
Gender | Male, 91.4% |
Happy | 67.1% |
Calm | 18.4% |
Fear | 3.7% |
Disgusted | 3.1% |
Sad | 3% |
Angry | 1.9% |
Surprised | 1.6% |
Confused | 1.3% |

AWS Rekognition
Age | 28-38 |
Gender | Male, 80.6% |
Calm | 80.8% |
Happy | 11.4% |
Sad | 4.8% |
Angry | 1% |
Fear | 0.7% |
Disgusted | 0.6% |
Surprised | 0.4% |
Confused | 0.3% |

AWS Rekognition
Age | 25-35 |
Gender | Female, 69.2% |
Sad | 39.9% |
Calm | 26.7% |
Fear | 12% |
Happy | 11.7% |
Angry | 5.5% |
Disgusted | 2.1% |
Confused | 1.1% |
Surprised | 1.1% |

AWS Rekognition
Age | 22-30 |
Gender | Female, 76.8% |
Happy | 62.2% |
Calm | 17.2% |
Sad | 6.6% |
Angry | 5.2% |
Disgusted | 3.9% |
Fear | 2% |
Surprised | 1.9% |
Confused | 1.1% |

AWS Rekognition
Age | 27-37 |
Gender | Male, 71.4% |
Calm | 97.4% |
Sad | 1.7% |
Angry | 0.3% |
Confused | 0.2% |
Happy | 0.1% |
Disgusted | 0.1% |
Fear | 0.1% |
Surprised | 0.1% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 92% |
Calm | 75.3% |
Sad | 15.5% |
Angry | 3.4% |
Happy | 1.6% |
Confused | 1.2% |
Surprised | 1.1% |
Disgusted | 0.9% |
Fear | 0.9% |

AWS Rekognition
Age | 18-24 |
Gender | Male, 93.3% |
Calm | 58.6% |
Happy | 28.3% |
Sad | 7.9% |
Disgusted | 1.8% |
Fear | 1% |
Surprised | 1% |
Angry | 1% |
Confused | 0.5% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 86.2% |
Calm | 90.6% |
Sad | 2.8% |
Fear | 2.8% |
Happy | 1.2% |
Disgusted | 0.9% |
Angry | 0.7% |
Confused | 0.6% |
Surprised | 0.5% |
Feature analysis
Categories
Imagga
interior objects | 77.2% | |
| ||
cars vehicles | 16.7% | |
| ||
text visuals | 3.1% | |
| ||
streetview architecture | 1.5% | |
|
Captions
Microsoft
created on 2022-02-04
a car parked on the side of a building | 76.4% | |
| ||
a person sitting on the side of a building | 76.3% | |
| ||
a bus that is sitting on the side of a building | 44.2% | |
|
Text analysis
Amazon

FILM

DENNIS

BANK

CHAVES

GLOVER

HOMER GLOVER

HOMER

KODAK

onal

NATIONAL

SEN DENNIS CHAVES

-

SANDRE

SEN

SAFETY

SANDRE HARPER

FIRST

HARPER

GOL

the

FIAST
BANK
BLE
HOMER GLOVER
SEN DENNIS CHAVES
SANDRS WARDER

FIAST

BANK

BLE

HOMER

GLOVER

SEN

DENNIS

CHAVES

SANDRS

WARDER