Machine Generated Data
Tags
Amazon
created on 2022-02-11
Person | 99.8 | |
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Human | 99.8 | |
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Person | 99.6 | |
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Person | 99.5 | |
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Person | 99.4 | |
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Person | 99.4 | |
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Person | 98.5 | |
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Person | 98 | |
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Person | 93.8 | |
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Car | 93.1 | |
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Automobile | 93.1 | |
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Vehicle | 93.1 | |
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Transportation | 93.1 | |
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Sports Car | 89.3 | |
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Shoe | 85.2 | |
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Footwear | 85.2 | |
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Clothing | 85.2 | |
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Apparel | 85.2 | |
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Wheel | 80 | |
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Machine | 80 | |
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Race Car | 79.4 | |
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Kart | 76.1 | |
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Tire | 69.2 | |
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Person | 62.9 | |
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People | 61 | |
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Tarmac | 60.5 | |
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Asphalt | 60.5 | |
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Formula One | 58.9 | |
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Advertisement | 58.1 | |
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Shoe | 54.3 | |
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Clarifai
created on 2023-10-29
Imagga
created on 2022-02-11
Google
created on 2022-02-11
Tire | 96.1 | |
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Wheel | 93.1 | |
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Vehicle | 92.9 | |
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Automotive tire | 92.2 | |
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Motor vehicle | 92.1 | |
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Automotive design | 88.1 | |
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Car | 83.8 | |
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Asphalt | 82.2 | |
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Adaptation | 79.2 | |
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Art | 78.8 | |
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Tints and shades | 77.4 | |
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Automotive wheel system | 75.6 | |
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Racing | 74.5 | |
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Font | 73.5 | |
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Rolling | 73.1 | |
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Motorsport | 69.8 | |
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T-shirt | 68.1 | |
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Sitting | 67.5 | |
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Eyewear | 67.1 | |
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Visual arts | 66.5 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 28-38 |
Gender | Male, 97.8% |
Calm | 97.2% |
Happy | 1.4% |
Sad | 0.9% |
Confused | 0.2% |
Angry | 0.2% |
Disgusted | 0.1% |
Surprised | 0.1% |
Fear | 0% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 99.9% |
Happy | 99.7% |
Calm | 0.1% |
Surprised | 0.1% |
Angry | 0.1% |
Fear | 0% |
Confused | 0% |
Sad | 0% |
Disgusted | 0% |

AWS Rekognition
Age | 30-40 |
Gender | Male, 100% |
Happy | 87.5% |
Disgusted | 6.7% |
Confused | 1.5% |
Calm | 1.4% |
Surprised | 1% |
Angry | 0.7% |
Sad | 0.7% |
Fear | 0.6% |

AWS Rekognition
Age | 34-42 |
Gender | Male, 59.1% |
Calm | 99.5% |
Happy | 0.3% |
Sad | 0.1% |
Fear | 0% |
Surprised | 0% |
Angry | 0% |
Disgusted | 0% |
Confused | 0% |

Microsoft Cognitive Services
Age | 40 |
Gender | Male |

Microsoft Cognitive Services
Age | 33 |
Gender | Male |

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Likely |
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 likely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 28.3% | |
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food drinks | 25.6% | |
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people portraits | 25.3% | |
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events parties | 14.7% | |
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pets animals | 2.3% | |
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interior objects | 1.7% | |
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text visuals | 1.7% | |
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Captions
Microsoft
created on 2022-02-11
a group of people riding on the back of a pickup truck | 54% | |
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a group of people riding on the back of a vehicle | 53.9% | |
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a group of people sitting in a chair | 53.8% | |
|
Text analysis
Amazon

Smith

Ca

lay Smith Ca

lay

MJI+

NAGON

HORSEPONE

И n. HORSEPONE

И n.

Smilh
RODVK
YT37 Ae

Smilh

RODVK

YT37

Ae