Machine Generated Data
Tags
Amazon
created on 2022-03-18
Person | 99.8 | |
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Human | 99.8 | |
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Person | 99.8 | |
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Wheel | 99.7 | |
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Machine | 99.7 | |
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Person | 99.7 | |
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Person | 99.5 | |
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Bus | 99.4 | |
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Vehicle | 99.4 | |
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Transportation | 99.4 | |
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Wheel | 99.2 | |
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Person | 98.1 | |
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Person | 98 | |
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Person | 97.3 | |
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Wheel | 96.7 | |
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Bicycle | 95.9 | |
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Bike | 95.9 | |
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Person | 95.5 | |
| ||
Person | 95.5 | |
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Wheel | 94.3 | |
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Person | 90.9 | |
| ||
Bicycle | 90.2 | |
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Person | 84.1 | |
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Person | 82.8 | |
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Plant | 81.9 | |
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Tree | 80.7 | |
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Person | 78.3 | |
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Car | 67.6 | |
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Automobile | 67.6 | |
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Palm Tree | 67.5 | |
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Arecaceae | 67.5 | |
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Shorts | 59.4 | |
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Clothing | 59.4 | |
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Apparel | 59.4 | |
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People | 55.5 | |
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Person | 54.1 | |
|
Clarifai
created on 2025-01-10
people | 99.8 | |
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vehicle | 99.7 | |
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transportation system | 98.8 | |
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adult | 98 | |
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group together | 96.4 | |
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group | 96.1 | |
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monochrome | 95.8 | |
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street | 95.5 | |
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man | 94.9 | |
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wear | 94.8 | |
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car | 89.8 | |
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no person | 89.4 | |
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two | 89.2 | |
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woman | 85 | |
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many | 84.2 | |
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vintage | 83.8 | |
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several | 83.1 | |
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administration | 82.5 | |
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child | 82.1 | |
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one | 80.3 | |
|
Imagga
created on 2022-03-18
carriage | 53.9 | |
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vehicle | 31.9 | |
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transportation | 27.8 | |
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old | 25.1 | |
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snow | 24.7 | |
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transport | 21 | |
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street | 20.2 | |
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travel | 18.3 | |
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city | 17.4 | |
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horse | 15.2 | |
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building | 14.6 | |
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road | 13.5 | |
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house | 13.4 | |
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wheel | 13.2 | |
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weather | 12.7 | |
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wheeled vehicle | 12.6 | |
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wheels | 11.7 | |
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rural | 11.5 | |
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urban | 11.4 | |
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architecture | 10.9 | |
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bicycle | 10.7 | |
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mobile home | 10.5 | |
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structure | 10.4 | |
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car | 10.2 | |
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vacation | 9.8 | |
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bike | 9.8 | |
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antique | 9.7 | |
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sky | 9.6 | |
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stone | 9.3 | |
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vintage | 9.1 | |
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machine | 9.1 | |
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tourist | 9.1 | |
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trailer | 8.7 | |
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tree | 8.5 | |
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town | 8.3 | |
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conveyance | 8.3 | |
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ride | 8.3 | |
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tourism | 8.2 | |
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housing | 8.2 | |
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industrial | 8.2 | |
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metal | 8 | |
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farm | 8 | |
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graffito | 8 | |
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cart | 8 | |
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steel | 8 | |
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summer | 7.7 | |
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engine | 7.7 | |
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industry | 7.7 | |
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outdoor | 7.6 | |
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drive | 7.6 | |
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power | 7.6 | |
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park | 7.5 | |
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outdoors | 7.5 | |
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track | 7.2 | |
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device | 7.2 | |
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activity | 7.2 | |
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equipment | 7.1 | |
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tire | 7.1 | |
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Google
created on 2022-03-18
Wheel | 97.1 | |
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Land vehicle | 97 | |
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Bicycle | 97 | |
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Bus | 96.6 | |
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Tire | 96.6 | |
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Vehicle | 95.5 | |
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Car | 95.1 | |
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Motor vehicle | 91.7 | |
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Sky | 86.6 | |
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Mode of transport | 86.1 | |
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Tree | 84.8 | |
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Black-and-white | 82.6 | |
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Plant | 81.8 | |
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Fender | 80.3 | |
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Adaptation | 79.5 | |
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Monochrome | 75 | |
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Snapshot | 74.3 | |
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Bicycle wheel | 72.6 | |
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Classic | 71.4 | |
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Monochrome photography | 71.3 | |
|
Microsoft
created on 2022-03-18
land vehicle | 93.1 | |
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text | 90.3 | |
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vehicle | 88.3 | |
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wheel | 87.4 | |
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bicycle | 75 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 25-35 |
Gender | Female, 68.2% |
Sad | 56.4% |
Happy | 23.2% |
Angry | 7.2% |
Surprised | 5.2% |
Disgusted | 3.7% |
Fear | 2.3% |
Calm | 1% |
Confused | 0.9% |

AWS Rekognition
Age | 12-20 |
Gender | Male, 98.8% |
Angry | 46.7% |
Calm | 18.1% |
Confused | 14% |
Sad | 9.8% |
Happy | 5.9% |
Disgusted | 2.7% |
Surprised | 1.5% |
Fear | 1.2% |

AWS Rekognition
Age | 16-24 |
Gender | Male, 92.7% |
Disgusted | 70.6% |
Angry | 12.2% |
Happy | 10.4% |
Calm | 3% |
Sad | 1.4% |
Fear | 1.2% |
Confused | 0.8% |
Surprised | 0.6% |

AWS Rekognition
Age | 2-8 |
Gender | Female, 99.9% |
Confused | 45.1% |
Sad | 40.4% |
Calm | 6.2% |
Fear | 5.4% |
Angry | 0.8% |
Disgusted | 0.7% |
Surprised | 0.7% |
Happy | 0.7% |

AWS Rekognition
Age | 6-16 |
Gender | Male, 99.4% |
Happy | 29.4% |
Angry | 20.6% |
Disgusted | 16% |
Sad | 9.5% |
Confused | 9.3% |
Fear | 7.5% |
Calm | 4.6% |
Surprised | 3% |

AWS Rekognition
Age | 6-12 |
Gender | Male, 61.6% |
Disgusted | 61.3% |
Sad | 17.6% |
Angry | 11.3% |
Calm | 3% |
Surprised | 2.9% |
Fear | 2.8% |
Happy | 0.6% |
Confused | 0.6% |

AWS Rekognition
Age | 6-12 |
Gender | Female, 95.6% |
Sad | 61.5% |
Calm | 9.2% |
Confused | 9.1% |
Fear | 9.1% |
Angry | 4% |
Disgusted | 3.9% |
Surprised | 2% |
Happy | 1.2% |

AWS Rekognition
Age | 10-18 |
Gender | Female, 90.2% |
Angry | 77.8% |
Disgusted | 13.4% |
Sad | 2.5% |
Calm | 1.9% |
Surprised | 1.5% |
Fear | 1.2% |
Happy | 1% |
Confused | 0.7% |

AWS Rekognition
Age | 1-7 |
Gender | Female, 100% |
Happy | 98.6% |
Calm | 0.4% |
Disgusted | 0.2% |
Surprised | 0.2% |
Fear | 0.2% |
Sad | 0.2% |
Angry | 0.1% |
Confused | 0.1% |

AWS Rekognition
Age | 19-27 |
Gender | Female, 85.3% |
Disgusted | 53.1% |
Sad | 23.7% |
Calm | 18.5% |
Happy | 1.4% |
Angry | 1.3% |
Fear | 0.8% |
Surprised | 0.8% |
Confused | 0.3% |

AWS Rekognition
Age | 1-7 |
Gender | Male, 93.3% |
Happy | 30.7% |
Angry | 23.9% |
Sad | 13.3% |
Calm | 12.2% |
Confused | 7.2% |
Fear | 6.2% |
Surprised | 5.2% |
Disgusted | 1.3% |

AWS Rekognition
Age | 4-12 |
Gender | Male, 95.5% |
Disgusted | 97.2% |
Angry | 2.3% |
Confused | 0.3% |
Sad | 0.1% |
Happy | 0.1% |
Calm | 0% |
Surprised | 0% |
Fear | 0% |

AWS Rekognition
Age | 0-6 |
Gender | Male, 76.3% |
Happy | 92.3% |
Disgusted | 4.5% |
Calm | 1.1% |
Sad | 0.7% |
Surprised | 0.6% |
Fear | 0.4% |
Angry | 0.3% |
Confused | 0.2% |

AWS Rekognition
Age | 4-10 |
Gender | Female, 99.9% |
Calm | 84.9% |
Sad | 10.7% |
Fear | 2.5% |
Disgusted | 0.7% |
Confused | 0.6% |
Angry | 0.2% |
Happy | 0.2% |
Surprised | 0.2% |

AWS Rekognition
Age | 33-41 |
Gender | Male, 96.8% |
Happy | 96.6% |
Sad | 1.4% |
Calm | 1% |
Disgusted | 0.4% |
Surprised | 0.2% |
Confused | 0.1% |
Angry | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 16-24 |
Gender | Male, 99.9% |
Sad | 38.8% |
Calm | 35.7% |
Angry | 9.8% |
Confused | 6.3% |
Disgusted | 4.4% |
Fear | 2.4% |
Surprised | 1.4% |
Happy | 1.2% |

AWS Rekognition
Age | 2-10 |
Gender | Male, 92.2% |
Angry | 48.2% |
Confused | 29% |
Fear | 5.6% |
Surprised | 5% |
Sad | 3.9% |
Calm | 3.9% |
Disgusted | 3.5% |
Happy | 0.8% |

AWS Rekognition
Age | 18-24 |
Gender | Female, 96.6% |
Calm | 32.5% |
Surprised | 28.9% |
Confused | 17.1% |
Sad | 11% |
Fear | 6.7% |
Disgusted | 1.8% |
Angry | 1.5% |
Happy | 0.6% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | 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 | 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 | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very likely |

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 | Likely |

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 | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | 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 | Very unlikely |
Blurred | Very likely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Very unlikely |
Blurred | Very likely |

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
Bus
Bicycle
Car
Categories
Imagga
paintings art | 97.2% | |
| ||
interior objects | 1% | |
|
Captions
Microsoft
created on 2022-03-18
a group of people standing in front of a bus | 74.9% | |
| ||
a group of people standing around a bus | 73.5% | |
| ||
a group of people standing in front of a store | 73.4% | |
|
Text analysis
Amazon

SCHOOL

21

SCHOOL BUS

LS

BUS

44534

KODAK-

CME

KODAK- 2.VLEIV

2.VLEIV

781
SCHOOL BIS
LS
21

781

SCHOOL

BIS

LS

21