Machine Generated Data
Tags
Amazon
created on 2022-03-25
Person | 99.4 | |
| ||
Human | 99.4 | |
| ||
Person | 98.7 | |
| ||
Person | 98.7 | |
| ||
Person | 98.4 | |
| ||
Person | 98.3 | |
| ||
Person | 97.7 | |
| ||
Wheel | 97.4 | |
| ||
Machine | 97.4 | |
| ||
Person | 97.4 | |
| ||
Person | 96.8 | |
| ||
Person | 95.7 | |
| ||
Person | 95.7 | |
| ||
Person | 94.8 | |
| ||
Person | 92.5 | |
| ||
Person | 86.5 | |
| ||
Car | 86.2 | |
| ||
Automobile | 86.2 | |
| ||
Vehicle | 86.2 | |
| ||
Transportation | 86.2 | |
| ||
Car | 85.4 | |
| ||
Person | 84.5 | |
| ||
Person | 82.4 | |
| ||
Person | 81.1 | |
| ||
Person | 80.6 | |
| ||
Person | 79.4 | |
| ||
Person | 76.4 | |
| ||
Person | 75.5 | |
| ||
Crowd | 75.4 | |
| ||
Person | 73.9 | |
| ||
People | 72.6 | |
| ||
Military | 66.5 | |
| ||
Person | 64.5 | |
| ||
Person | 64 | |
| ||
Person | 63.3 | |
| ||
Car | 63.2 | |
| ||
Car | 63 | |
| ||
Nature | 59.4 | |
| ||
Road | 58.3 | |
| ||
Military Uniform | 58.1 | |
| ||
Funeral | 55.4 | |
| ||
Car | 55 | |
|
Clarifai
created on 2023-10-29
Imagga
created on 2022-03-25
chairlift | 55.4 | |
| ||
ski tow | 43.7 | |
| ||
conveyance | 43 | |
| ||
snow | 32.2 | |
| ||
winter | 24.7 | |
| ||
vehicle | 19.8 | |
| ||
cold | 18.1 | |
| ||
black | 15.6 | |
| ||
car | 14.7 | |
| ||
machine | 14.6 | |
| ||
road | 14.4 | |
| ||
travel | 14.1 | |
| ||
sport | 13.7 | |
| ||
transportation | 13.4 | |
| ||
man | 13.4 | |
| ||
old | 13.2 | |
| ||
sky | 12.7 | |
| ||
stretcher | 12.6 | |
| ||
weather | 12.2 | |
| ||
outdoor | 11.5 | |
| ||
landscape | 11.1 | |
| ||
power | 10.9 | |
| ||
city | 10.8 | |
| ||
track | 10.6 | |
| ||
grunge | 10.2 | |
| ||
street | 10.1 | |
| ||
plow | 10.1 | |
| ||
litter | 10.1 | |
| ||
transport | 10 | |
| ||
danger | 10 | |
| ||
tree | 10 | |
| ||
tool | 9.6 | |
| ||
dangerous | 9.5 | |
| ||
action | 9.3 | |
| ||
ice | 9.2 | |
| ||
speed | 9.2 | |
| ||
war | 8.7 | |
| ||
work | 8.6 | |
| ||
park | 8.6 | |
| ||
wheel | 8.5 | |
| ||
wheeled vehicle | 8.4 | |
| ||
vintage | 8.3 | |
| ||
mountain | 8.2 | |
| ||
industrial | 8.2 | |
| ||
dirty | 8.1 | |
| ||
trees | 8 | |
| ||
male | 7.8 | |
| ||
military | 7.7 | |
| ||
motion | 7.7 | |
| ||
house | 7.5 | |
| ||
hill | 7.5 | |
| ||
truck | 7.5 | |
| ||
outdoors | 7.5 | |
| ||
lifestyle | 7.2 | |
| ||
active | 7.2 | |
| ||
recreation | 7.2 | |
| ||
rural | 7 | |
| ||
device | 7 | |
|
Google
created on 2022-03-25
Tire | 93.4 | |
| ||
Car | 93.4 | |
| ||
Vehicle | 93 | |
| ||
Wheel | 90.6 | |
| ||
Motor vehicle | 90.4 | |
| ||
Plant | 81.9 | |
| ||
Tree | 81.3 | |
| ||
Automotive tire | 75 | |
| ||
Kit car | 74 | |
| ||
Classic car | 71.6 | |
| ||
Classic | 70.7 | |
| ||
Urban design | 70.4 | |
| ||
Automotive wheel system | 66.7 | |
| ||
Antique car | 65.9 | |
| ||
History | 63.5 | |
| ||
Monochrome | 62.8 | |
| ||
House | 60.1 | |
| ||
Auto part | 59.8 | |
| ||
Art | 58.9 | |
| ||
Family car | 55.9 | |
|
Microsoft
created on 2022-03-25
text | 95.7 | |
| ||
vehicle | 92.5 | |
| ||
land vehicle | 89.9 | |
| ||
outdoor | 88.2 | |
| ||
military vehicle | 86.7 | |
| ||
transport | 72.3 | |
| ||
car | 69.5 | |
| ||
wheel | 59 | |
| ||
people | 56.9 | |
| ||
old | 46 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-28 |
Gender | Male, 95.4% |
Calm | 82.5% |
Confused | 11.1% |
Angry | 2.3% |
Disgusted | 1.5% |
Sad | 1.2% |
Surprised | 0.7% |
Happy | 0.3% |
Fear | 0.3% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 99.5% |
Sad | 92.6% |
Angry | 2.6% |
Disgusted | 1.8% |
Calm | 1.2% |
Happy | 0.7% |
Confused | 0.4% |
Fear | 0.4% |
Surprised | 0.4% |

AWS Rekognition
Age | 40-48 |
Gender | Male, 78.7% |
Angry | 63.3% |
Sad | 19.5% |
Calm | 10.5% |
Disgusted | 3.5% |
Surprised | 1.4% |
Confused | 0.8% |
Fear | 0.6% |
Happy | 0.3% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 92.5% |
Calm | 79.8% |
Happy | 7.2% |
Sad | 6.5% |
Disgusted | 2.1% |
Fear | 1.8% |
Surprised | 1.1% |
Angry | 0.9% |
Confused | 0.6% |

AWS Rekognition
Age | 27-37 |
Gender | Male, 93.5% |
Calm | 82.2% |
Happy | 7.8% |
Sad | 4% |
Angry | 3% |
Surprised | 1.6% |
Disgusted | 0.8% |
Confused | 0.3% |
Fear | 0.2% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 80.9% |
Disgusted | 52.9% |
Calm | 30.7% |
Angry | 7.2% |
Sad | 5.3% |
Happy | 1.4% |
Confused | 1% |
Surprised | 0.8% |
Fear | 0.7% |

AWS Rekognition
Age | 18-26 |
Gender | Male, 67.5% |
Calm | 66.7% |
Sad | 25.4% |
Angry | 3.1% |
Confused | 2.4% |
Disgusted | 0.9% |
Surprised | 0.6% |
Fear | 0.5% |
Happy | 0.5% |

AWS Rekognition
Age | 18-26 |
Gender | Male, 91.6% |
Confused | 26.3% |
Disgusted | 22.8% |
Calm | 15.2% |
Sad | 11% |
Angry | 8.4% |
Surprised | 8% |
Happy | 4.3% |
Fear | 3.9% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 56.5% |
Sad | 61.1% |
Confused | 12.3% |
Calm | 10.3% |
Surprised | 5.3% |
Disgusted | 4.2% |
Fear | 3.8% |
Angry | 2.2% |
Happy | 0.9% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 94% |
Calm | 36.1% |
Sad | 23.5% |
Disgusted | 15.6% |
Confused | 5.6% |
Angry | 5.4% |
Surprised | 5% |
Fear | 4.5% |
Happy | 4.3% |

AWS Rekognition
Age | 25-35 |
Gender | Female, 55.1% |
Happy | 92.8% |
Disgusted | 3.3% |
Surprised | 1.4% |
Calm | 0.8% |
Angry | 0.7% |
Sad | 0.5% |
Fear | 0.3% |
Confused | 0.2% |

AWS Rekognition
Age | 16-24 |
Gender | Male, 96.6% |
Calm | 92% |
Disgusted | 2.5% |
Angry | 2% |
Sad | 1.3% |
Surprised | 0.8% |
Happy | 0.7% |
Confused | 0.4% |
Fear | 0.3% |

AWS Rekognition
Age | 33-41 |
Gender | Male, 100% |
Sad | 30.2% |
Disgusted | 23.3% |
Confused | 15.6% |
Angry | 9.6% |
Calm | 7.9% |
Happy | 6.8% |
Surprised | 3.9% |
Fear | 2.7% |

AWS Rekognition
Age | 4-12 |
Gender | Female, 77.8% |
Calm | 82.3% |
Sad | 6.6% |
Happy | 4.7% |
Surprised | 2% |
Disgusted | 1.7% |
Angry | 1.1% |
Fear | 1.1% |
Confused | 0.5% |

AWS Rekognition
Age | 28-38 |
Gender | Female, 74.8% |
Sad | 67% |
Calm | 15.4% |
Confused | 6.1% |
Disgusted | 3.8% |
Angry | 3.5% |
Fear | 1.5% |
Surprised | 1.4% |
Happy | 1.3% |

AWS Rekognition
Age | 22-30 |
Gender | Female, 53.4% |
Happy | 56.7% |
Calm | 11.9% |
Surprised | 8.8% |
Sad | 7.5% |
Disgusted | 6.3% |
Angry | 4% |
Fear | 3.2% |
Confused | 1.7% |

AWS Rekognition
Age | 27-37 |
Gender | Male, 95.4% |
Happy | 46.2% |
Calm | 24.2% |
Sad | 23% |
Angry | 1.6% |
Surprised | 1.4% |
Fear | 1.3% |
Confused | 1.2% |
Disgusted | 1% |

AWS Rekognition
Age | 29-39 |
Gender | Female, 54% |
Calm | 42.3% |
Sad | 25% |
Confused | 12% |
Angry | 11.3% |
Happy | 5% |
Disgusted | 1.8% |
Fear | 1.8% |
Surprised | 0.8% |

AWS Rekognition
Age | 37-45 |
Gender | Male, 99.6% |
Calm | 79.9% |
Sad | 8.3% |
Happy | 4.5% |
Disgusted | 3.6% |
Angry | 1.6% |
Confused | 1% |
Surprised | 0.6% |
Fear | 0.5% |

AWS Rekognition
Age | 4-10 |
Gender | Male, 95.4% |
Sad | 84.4% |
Calm | 10.7% |
Angry | 1.9% |
Confused | 1.8% |
Fear | 0.5% |
Happy | 0.3% |
Disgusted | 0.2% |
Surprised | 0.2% |

AWS Rekognition
Age | 12-20 |
Gender | Male, 90.7% |
Calm | 45.9% |
Disgusted | 20.7% |
Angry | 14.4% |
Sad | 10.4% |
Fear | 4.1% |
Surprised | 1.9% |
Happy | 1.4% |
Confused | 1.3% |

AWS Rekognition
Age | 25-35 |
Gender | Female, 93.9% |
Calm | 66.8% |
Sad | 13.2% |
Confused | 6.4% |
Happy | 6.3% |
Angry | 3.5% |
Fear | 1.4% |
Disgusted | 1.3% |
Surprised | 1.1% |

AWS Rekognition
Age | 11-19 |
Gender | Male, 61.5% |
Calm | 98.8% |
Angry | 0.7% |
Sad | 0.2% |
Surprised | 0.1% |
Happy | 0.1% |
Confused | 0.1% |
Disgusted | 0% |
Fear | 0% |

AWS Rekognition
Age | 35-43 |
Gender | Male, 93.8% |
Sad | 38.3% |
Angry | 34.1% |
Calm | 17.9% |
Happy | 4.7% |
Disgusted | 1.9% |
Confused | 1.7% |
Surprised | 0.9% |
Fear | 0.5% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 99% |
Confused | 44.9% |
Calm | 23.6% |
Sad | 16.8% |
Surprised | 4% |
Happy | 3.6% |
Fear | 3.1% |
Disgusted | 2.6% |
Angry | 1.5% |

AWS Rekognition
Age | 27-37 |
Gender | Male, 92.9% |
Happy | 34.1% |
Sad | 28.1% |
Calm | 11.1% |
Angry | 6.3% |
Confused | 6% |
Fear | 6% |
Disgusted | 5.5% |
Surprised | 2.9% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 77% |
Sad | 94.8% |
Confused | 1.9% |
Calm | 1.8% |
Angry | 0.7% |
Disgusted | 0.3% |
Fear | 0.2% |
Surprised | 0.1% |
Happy | 0.1% |

AWS Rekognition
Age | 11-19 |
Gender | Male, 63.4% |
Calm | 64.2% |
Angry | 14.8% |
Sad | 12.8% |
Disgusted | 6.6% |
Surprised | 0.4% |
Confused | 0.4% |
Happy | 0.4% |
Fear | 0.4% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 73.5% |
Confused | 43.7% |
Sad | 23.8% |
Calm | 17.3% |
Disgusted | 3.8% |
Surprised | 3.2% |
Fear | 3.1% |
Angry | 2.8% |
Happy | 2.2% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 91.5% |
Calm | 94% |
Sad | 3.7% |
Happy | 0.7% |
Confused | 0.5% |
Fear | 0.3% |
Disgusted | 0.3% |
Surprised | 0.2% |
Angry | 0.2% |

AWS Rekognition
Age | 18-24 |
Gender | Male, 99.1% |
Calm | 52.8% |
Sad | 29% |
Disgusted | 5.6% |
Confused | 5% |
Fear | 2.9% |
Surprised | 2.2% |
Angry | 1.5% |
Happy | 1% |

AWS Rekognition
Age | 28-38 |
Gender | Male, 73.6% |
Sad | 74.8% |
Calm | 11% |
Fear | 4.2% |
Surprised | 2.9% |
Confused | 2.8% |
Angry | 1.7% |
Disgusted | 1.4% |
Happy | 1.2% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 90.8% |
Sad | 83.7% |
Calm | 6% |
Fear | 5.2% |
Angry | 2% |
Confused | 1.9% |
Happy | 0.5% |
Disgusted | 0.4% |
Surprised | 0.3% |

AWS Rekognition
Age | 26-36 |
Gender | Female, 90% |
Sad | 79.2% |
Happy | 8.7% |
Calm | 7.1% |
Fear | 1.4% |
Angry | 1.2% |
Disgusted | 0.9% |
Confused | 0.8% |
Surprised | 0.8% |

AWS Rekognition
Age | 14-22 |
Gender | Male, 86.9% |
Angry | 74.7% |
Calm | 12.4% |
Sad | 3.8% |
Disgusted | 3.2% |
Fear | 2.3% |
Surprised | 1.6% |
Happy | 1.1% |
Confused | 0.8% |

AWS Rekognition
Age | 6-14 |
Gender | Female, 72.6% |
Calm | 91% |
Sad | 5.3% |
Angry | 1.2% |
Confused | 0.9% |
Happy | 0.6% |
Fear | 0.4% |
Disgusted | 0.3% |
Surprised | 0.1% |

AWS Rekognition
Age | 20-28 |
Gender | Female, 58.1% |
Calm | 64.3% |
Sad | 28% |
Fear | 1.9% |
Happy | 1.8% |
Angry | 1.5% |
Confused | 1.4% |
Disgusted | 0.6% |
Surprised | 0.6% |

AWS Rekognition
Age | 16-24 |
Gender | Female, 78.4% |
Calm | 53.3% |
Sad | 25.4% |
Happy | 7% |
Fear | 5.8% |
Confused | 3.4% |
Angry | 2% |
Surprised | 1.7% |
Disgusted | 1.4% |

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 | Very unlikely |
Headwear | Very unlikely |
Blurred | Possible |

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 | 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 |
Feature analysis
Amazon
Person
Wheel
Car

Person | 99.4% | |
|

Person | 98.7% | |
|

Person | 98.7% | |
|

Person | 98.4% | |
|

Person | 98.3% | |
|

Person | 97.7% | |
|

Person | 97.4% | |
|

Person | 96.8% | |
|

Person | 95.7% | |
|

Person | 95.7% | |
|

Person | 94.8% | |
|

Person | 92.5% | |
|

Person | 86.5% | |
|

Person | 84.5% | |
|

Person | 82.4% | |
|

Person | 81.1% | |
|

Person | 80.6% | |
|

Person | 79.4% | |
|

Person | 76.4% | |
|

Person | 75.5% | |
|

Person | 73.9% | |
|

Person | 64.5% | |
|

Person | 64% | |
|

Person | 63.3% | |
|

Wheel | 97.4% | |
|

Car | 86.2% | |
|

Car | 85.4% | |
|

Car | 63.2% | |
|

Car | 63% | |
|

Car | 55% | |
|
Categories
Imagga
paintings art | 99.7% | |
|
Captions
Microsoft
created on 2022-03-25
a group of people riding on the back of a vehicle | 73.5% | |
| ||
a group of people in a vehicle | 73.4% | |
| ||
a group of people in an old photo of a vehicle | 73.3% | |
|
Text analysis
Amazon

NAO

TERAC NAO

ZYTATA

TERAC

ca.e