Machine Generated Data
Tags
Amazon
created on 2022-03-05
Person | 99.6 | |
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Human | 99.6 | |
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Person | 99.4 | |
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Person | 98.9 | |
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Automobile | 98.5 | |
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Vehicle | 98.5 | |
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Transportation | 98.5 | |
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Car | 95 | |
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Person | 95 | |
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Car | 92.2 | |
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Car | 91.7 | |
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Antique Car | 90.7 | |
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Wheel | 87 | |
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Machine | 87 | |
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Person | 83 | |
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Car | 74.8 | |
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Overcoat | 72.6 | |
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Coat | 72.6 | |
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Clothing | 72.6 | |
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Apparel | 72.6 | |
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Suit | 71.9 | |
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Person | 68.8 | |
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Car | 63.8 | |
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Person | 62.8 | |
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Model T | 57.8 | |
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Shoe | 57.2 | |
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Footwear | 57.2 | |
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Spoke | 56 | |
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Car | 55.7 | |
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Clarifai
created on 2023-10-22
people | 99.9 | |
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group together | 97.2 | |
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vehicle | 97.1 | |
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transportation system | 96.5 | |
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street | 95.8 | |
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adult | 95.6 | |
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man | 95.1 | |
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group | 94.6 | |
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many | 94.1 | |
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administration | 92.5 | |
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leader | 91.4 | |
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car | 91.2 | |
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two | 91.2 | |
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woman | 89.8 | |
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monochrome | 89.1 | |
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music | 86.3 | |
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several | 86 | |
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chair | 84.4 | |
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wait | 84.4 | |
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three | 79.7 | |
|
Imagga
created on 2022-03-05
car | 74 | |
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limousine | 49.3 | |
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transportation | 35.8 | |
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motor vehicle | 33.5 | |
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passenger | 31.6 | |
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vehicle | 28.1 | |
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people | 24 | |
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travel | 23.9 | |
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street | 23.9 | |
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slot | 21 | |
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transport | 21 | |
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city | 19.9 | |
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urban | 19.2 | |
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automobile | 19.1 | |
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road | 19 | |
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wheeled vehicle | 18.6 | |
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building | 18.4 | |
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traffic | 17.1 | |
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slot machine | 16.9 | |
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man | 16.1 | |
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machine | 16 | |
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adult | 15.5 | |
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auto | 15.3 | |
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business | 15.2 | |
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drive | 15.1 | |
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architecture | 14.1 | |
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office | 13.5 | |
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smile | 12.8 | |
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speed | 12.8 | |
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bus | 12.7 | |
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person | 12.5 | |
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male | 11.3 | |
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work | 11 | |
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device | 10.5 | |
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old | 10.4 | |
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sitting | 10.3 | |
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men | 10.3 | |
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motion | 10.3 | |
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day | 10.2 | |
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minibus | 10.1 | |
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tramway | 9.9 | |
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cars | 9.8 | |
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driver | 9.7 | |
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public | 9.7 | |
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driving | 9.7 | |
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smiling | 9.4 | |
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happy | 9.4 | |
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train | 9.2 | |
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modern | 9.1 | |
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black | 9 | |
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working | 8.8 | |
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seat | 8.7 | |
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public transport | 8.5 | |
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streetcar | 8.3 | |
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back | 8.3 | |
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occupation | 8.2 | |
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lifestyle | 7.9 | |
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stop | 7.7 | |
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outside | 7.7 | |
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attractive | 7.7 | |
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windows | 7.7 | |
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shop | 7.6 | |
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outdoors | 7.5 | |
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worker | 7.4 | |
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tourism | 7.4 | |
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town | 7.4 | |
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inside | 7.4 | |
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businesswoman | 7.3 | |
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life | 7.1 | |
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women | 7.1 | |
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indoors | 7 | |
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Google
created on 2022-03-05
Car | 97.3 | |
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Vehicle | 96.1 | |
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Land vehicle | 95.9 | |
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Motor vehicle | 92.4 | |
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Black | 89.7 | |
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Automotive design | 87.5 | |
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Coat | 86.2 | |
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Style | 83.8 | |
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Black-and-white | 82.6 | |
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Vehicle door | 80.2 | |
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Automotive lighting | 80 | |
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Window | 79.6 | |
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Suit | 78.5 | |
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Personal luxury car | 78.4 | |
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Classic | 77.6 | |
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Tints and shades | 76.5 | |
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Monochrome photography | 76 | |
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Classic car | 73.8 | |
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Monochrome | 73 | |
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Automotive exterior | 72.4 | |
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Microsoft
created on 2022-03-05
land vehicle | 98.1 | |
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vehicle | 96.7 | |
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floor | 93.8 | |
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black and white | 93.6 | |
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wheel | 92.7 | |
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car | 92.4 | |
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text | 88.8 | |
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street | 88.7 | |
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monochrome | 58.4 | |
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person | 56.2 | |
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man | 55.2 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 1-7 |
Gender | Male, 99.8% |
Calm | 92.7% |
Sad | 3.7% |
Angry | 1% |
Surprised | 0.7% |
Confused | 0.6% |
Happy | 0.6% |
Fear | 0.4% |
Disgusted | 0.4% |

AWS Rekognition
Age | 4-12 |
Gender | Male, 99.7% |
Calm | 93.8% |
Disgusted | 1.8% |
Sad | 1.3% |
Angry | 1.2% |
Confused | 1.2% |
Fear | 0.4% |
Happy | 0.2% |
Surprised | 0.2% |

AWS Rekognition
Age | 38-46 |
Gender | Male, 96.7% |
Happy | 83% |
Calm | 7.4% |
Confused | 3% |
Disgusted | 2.6% |
Sad | 2.1% |
Fear | 1.1% |
Angry | 0.4% |
Surprised | 0.3% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 93.8% |
Fear | 84.8% |
Calm | 5.7% |
Surprised | 3.9% |
Sad | 2.6% |
Angry | 1.1% |
Happy | 1% |
Confused | 0.6% |
Disgusted | 0.4% |

AWS Rekognition
Age | 31-41 |
Gender | Male, 99.7% |
Sad | 70.6% |
Calm | 13.4% |
Angry | 5.5% |
Happy | 5.2% |
Confused | 1.9% |
Surprised | 1.5% |
Disgusted | 1% |
Fear | 0.9% |

AWS Rekognition
Age | 39-47 |
Gender | Male, 99.8% |
Happy | 99.4% |
Surprised | 0.1% |
Confused | 0.1% |
Calm | 0.1% |
Sad | 0.1% |
Disgusted | 0.1% |
Angry | 0.1% |
Fear | 0% |

AWS Rekognition
Age | 36-44 |
Gender | Male, 90% |
Calm | 88.2% |
Sad | 4.8% |
Happy | 2.4% |
Angry | 1.5% |
Disgusted | 1.2% |
Fear | 0.7% |
Surprised | 0.6% |
Confused | 0.6% |

AWS Rekognition
Age | 19-27 |
Gender | Female, 95.5% |
Calm | 83.4% |
Happy | 10.5% |
Sad | 2.9% |
Disgusted | 0.8% |
Fear | 0.7% |
Confused | 0.7% |
Surprised | 0.5% |
Angry | 0.5% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 98.6% |
Calm | 68.5% |
Surprised | 10.3% |
Angry | 5.1% |
Confused | 4.2% |
Sad | 4.1% |
Fear | 3.7% |
Disgusted | 2.2% |
Happy | 2% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Possible |
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 | Likely |
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 | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | 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 | 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 | 91.4% | |
| ||
interior objects | 2.9% | |
| ||
streetview architecture | 2.4% | |
| ||
paintings art | 1.9% | |
|
Captions
Microsoft
created on 2022-03-05
a group of people sitting around a car | 83.5% | |
| ||
a group of people sitting in a car | 81.4% | |
| ||
a group of people in a car | 81.3% | |
|
Text analysis
Amazon

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WHITTIER

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TV

PROSPERITY

GENERAL

GOVERNOR

COUNT

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REPUBLICAN

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PEACE...

date PEACE...

date

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CROFT
MAC
PROSPERITY
MACE
PROSPERITY
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FINGOLD
THITTIER
"MONTE
CRISTO
STOP
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LAPRCA
GOVERNOR
40

CROFT

MAC

PROSPERITY

MACE

TIV

FINGOLD

THITTIER

"MONTE

CRISTO

STOP

-ATE

GENERAL

LAPRCA

GOVERNOR

40