Machine Generated Data
Tags
Amazon
created on 2022-03-19
Person | 99.7 | |
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Human | 99.7 | |
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Person | 99.5 | |
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Motorcycle | 99.3 | |
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Vehicle | 99.3 | |
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Transportation | 99.3 | |
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Wheel | 98 | |
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Machine | 98 | |
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Car | 97.8 | |
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Automobile | 97.8 | |
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Wheel | 97.1 | |
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Spoke | 91 | |
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Car | 89.7 | |
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Wheel | 86.7 | |
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Car | 85.6 | |
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Bicycle | 83.8 | |
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Bike | 83.8 | |
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Car | 83.8 | |
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Tire | 82.4 | |
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Clothing | 76 | |
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Apparel | 76 | |
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Wheel | 76 | |
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Wheel | 75.9 | |
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Person | 75 | |
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Motor | 61.1 | |
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Portrait | 60.2 | |
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Photography | 60.2 | |
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Face | 60.2 | |
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Photo | 60.2 | |
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Car Wheel | 58.6 | |
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Clarifai
created on 2023-10-29
Imagga
created on 2022-03-19
window | 29.8 | |
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carriage | 24.5 | |
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city | 24.1 | |
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street | 22.1 | |
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building | 21.7 | |
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old | 21.6 | |
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transportation | 21.5 | |
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wheelchair | 18.8 | |
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door | 17.7 | |
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urban | 17.5 | |
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tricycle | 17.4 | |
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architecture | 17.4 | |
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travel | 16.9 | |
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transport | 16.4 | |
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wheeled vehicle | 16.3 | |
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vehicle | 14.7 | |
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chair | 13.4 | |
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structure | 13.3 | |
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people | 12.8 | |
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wall | 12.8 | |
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bicycle | 12.7 | |
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sliding door | 11.9 | |
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road | 11.7 | |
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seat | 11.7 | |
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bike | 11.7 | |
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house | 11.7 | |
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wheel | 11.3 | |
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tourism | 10.7 | |
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framework | 10.6 | |
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drawing | 9.5 | |
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man | 9.4 | |
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town | 9.3 | |
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exterior | 9.2 | |
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historic | 9.2 | |
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business | 9.1 | |
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aged | 9 | |
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home | 8.9 | |
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cycle | 8.8 | |
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public | 8.7 | |
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barrier | 8.7 | |
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men | 8.6 | |
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glass | 8.6 | |
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construction | 8.6 | |
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sport | 8.5 | |
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brick | 8.5 | |
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historical | 8.5 | |
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black | 8.4 | |
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adult | 8.4 | |
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tourist | 8.2 | |
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activity | 8.1 | |
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history | 8 | |
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conveyance | 8 | |
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supporting structure | 8 | |
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light | 8 | |
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ride | 7.9 | |
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shop | 7.9 | |
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empty | 7.7 | |
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stone | 7.7 | |
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outdoor | 7.6 | |
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walk | 7.6 | |
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power | 7.6 | |
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balcony | 7.5 | |
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human | 7.5 | |
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snow | 7.5 | |
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person | 7.4 | |
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speed | 7.3 | |
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indoor | 7.3 | |
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metal | 7.2 | |
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movable barrier | 7.2 | |
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active | 7.2 | |
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facade | 7.1 | |
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modern | 7 | |
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Google
created on 2022-03-19
Tire | 97.3 | |
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Land vehicle | 97 | |
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Wheel | 95.9 | |
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Vehicle | 95.1 | |
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Car | 94.6 | |
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Automotive lighting | 90.1 | |
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Automotive tire | 89.9 | |
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Motor vehicle | 89.7 | |
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Black-and-white | 84 | |
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Automotive design | 84 | |
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Style | 83.9 | |
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Window | 81.6 | |
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Fender | 80.9 | |
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Motorcycle | 78.7 | |
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Tints and shades | 77.1 | |
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Headlamp | 76.9 | |
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Monochrome | 76.7 | |
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Monochrome photography | 76.2 | |
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Rim | 75.2 | |
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Automotive exterior | 71.7 | |
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Microsoft
created on 2022-03-19
wheel | 96.2 | |
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land vehicle | 95.7 | |
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text | 95.7 | |
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outdoor | 93.4 | |
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vehicle | 91.3 | |
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person | 88.4 | |
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black and white | 85.6 | |
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tire | 82.5 | |
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clothing | 68.7 | |
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motorcycle | 67.8 | |
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people | 62.5 | |
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car | 59.3 | |
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old | 54.2 | |
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motorbike | 51.6 | |
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vintage | 28.1 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 49-57 |
Gender | Male, 99.7% |
Calm | 99.9% |
Angry | 0% |
Confused | 0% |
Disgusted | 0% |
Happy | 0% |
Sad | 0% |
Surprised | 0% |
Fear | 0% |

AWS Rekognition
Age | 43-51 |
Gender | Female, 52.7% |
Sad | 81.9% |
Calm | 10.6% |
Fear | 2.4% |
Disgusted | 1.8% |
Confused | 1.2% |
Angry | 1% |
Happy | 0.9% |
Surprised | 0.2% |

Microsoft Cognitive Services
Age | 43 |
Gender | Female |

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 likely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 100% | |
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