Machine Generated Data
Tags
Amazon
created on 2023-10-25
People | 98.7 | |
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Person | 96.5 | |
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Machine | 95.9 | |
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Wheel | 95.9 | |
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Person | 94.9 | |
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Car | 94.8 | |
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Transportation | 94.8 | |
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Vehicle | 94.8 | |
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Wheel | 94 | |
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Person | 92.3 | |
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Person | 91 | |
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Person | 90.7 | |
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Person | 90.1 | |
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Person | 89.2 | |
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Adult | 89.2 | |
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Male | 89.2 | |
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Man | 89.2 | |
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Person | 89 | |
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Person | 87.9 | |
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Adult | 87.9 | |
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Male | 87.9 | |
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Man | 87.9 | |
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Person | 83.3 | |
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Person | 81.4 | |
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Person | 81.3 | |
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Person | 79.7 | |
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Indoors | 77.8 | |
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Person | 77.1 | |
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Outdoors | 75.3 | |
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Person | 68.8 | |
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Person | 68.2 | |
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Person | 66.7 | |
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Adult | 66.7 | |
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Female | 66.7 | |
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Woman | 66.7 | |
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Funeral | 66.6 | |
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Head | 66.6 | |
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Person | 65.2 | |
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Motorcycle | 60.8 | |
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Person | 57.6 | |
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Terminal | 55.4 | |
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Clarifai
created on 2023-10-15
Imagga
created on 2019-01-31
conveyance | 68.5 | |
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sidecar | 65.1 | |
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vehicle | 62.9 | |
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car | 53.5 | |
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motor scooter | 50.2 | |
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wheeled vehicle | 45.2 | |
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automobile | 32.5 | |
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transportation | 29.6 | |
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motor | 28.2 | |
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auto | 25.8 | |
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engine | 24 | |
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transport | 23.7 | |
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metal | 22.5 | |
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speed | 22 | |
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seat | 18.9 | |
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wheel | 16.2 | |
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chrome | 16 | |
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metallic | 14.7 | |
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machine | 14.4 | |
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drive | 14.2 | |
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industry | 13.7 | |
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racer | 13.6 | |
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classic | 13 | |
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power | 12.6 | |
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race | 12.4 | |
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steel | 12.4 | |
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motor vehicle | 12.3 | |
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fast | 12.1 | |
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black | 12 | |
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wreck | 11.8 | |
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road | 11.7 | |
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sport | 11.7 | |
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wheels | 11.7 | |
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driving | 11.6 | |
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broken | 11.6 | |
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shiny | 11.1 | |
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motorcycle | 10.8 | |
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crash | 10.8 | |
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racing | 10.8 | |
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tire | 10.7 | |
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travel | 10.6 | |
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industrial | 10 | |
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hood | 9.8 | |
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automotive | 9.8 | |
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cars | 9.8 | |
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old | 9.7 | |
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chair | 9.7 | |
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damaged | 9.5 | |
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modern | 9.1 | |
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vintage | 9.1 | |
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technology | 8.9 | |
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support | 8.9 | |
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cockpit | 8.9 | |
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interior | 8.8 | |
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driver | 8.7 | |
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design | 8.4 | |
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street | 8.3 | |
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reflection | 8.1 | |
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device | 8 | |
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motorbike | 7.9 | |
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scrap | 7.9 | |
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bike | 7.8 | |
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mechanical | 7.8 | |
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windshield | 7.7 | |
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pollution | 7.7 | |
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repair | 7.7 | |
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performance | 7.7 | |
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iron | 7.5 | |
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row | 7.4 | |
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furniture | 7.4 | |
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environment | 7.4 | |
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sports | 7.4 | |
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new | 7.3 | |
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work | 7.1 | |
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Google
created on 2019-01-31
Motor vehicle | 90.1 | |
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Vehicle | 67.1 | |
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Photography | 62.4 | |
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Car | 58.4 | |
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Black-and-white | 56.4 | |
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Microsoft
created on 2019-01-31
car | 19.4 | |
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street | 7.7 | |
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black and white | 4.9 | |
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flight | 4.1 | |
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city | 3.7 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-31 |
Gender | Female, 75% |
Fear | 43.1% |
Calm | 41.4% |
Happy | 11.4% |
Surprised | 6.6% |
Angry | 3.3% |
Sad | 3% |
Disgusted | 2.4% |
Confused | 1.2% |

AWS Rekognition
Age | 0-6 |
Gender | Male, 98.5% |
Calm | 73.9% |
Happy | 10.2% |
Fear | 7.5% |
Surprised | 6.6% |
Sad | 3.8% |
Angry | 3.3% |
Disgusted | 2.2% |
Confused | 1.8% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 99.8% |
Calm | 90.7% |
Surprised | 6.5% |
Fear | 6% |
Sad | 5.2% |
Happy | 0.9% |
Angry | 0.5% |
Disgusted | 0.4% |
Confused | 0.4% |
Feature analysis
Amazon
Person
Wheel
Car
Adult
Male
Man
Female
Woman
Motorcycle

Person | 96.5% | |
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Person | 94.9% | |
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Person | 92.3% | |
|

Person | 91% | |
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Person | 90.7% | |
|

Person | 90.1% | |
|

Person | 89.2% | |
|

Person | 89% | |
|

Person | 87.9% | |
|

Person | 83.3% | |
|

Person | 81.4% | |
|

Person | 81.3% | |
|

Person | 79.7% | |
|

Person | 77.1% | |
|

Person | 68.8% | |
|

Person | 68.2% | |
|

Person | 66.7% | |
|

Person | 65.2% | |
|

Person | 57.6% | |
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Wheel | 95.9% | |
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Wheel | 94% | |
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Car | 94.8% | |
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Adult | 89.2% | |
|

Adult | 87.9% | |
|

Adult | 66.7% | |
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Male | 89.2% | |
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Male | 87.9% | |
|

Man | 89.2% | |
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Man | 87.9% | |
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Female | 66.7% | |
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Woman | 66.7% | |
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Motorcycle | 60.8% | |
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Categories
Imagga
paintings art | 47.1% | |
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food drinks | 46.3% | |
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nature landscape | 3.8% | |
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cars vehicles | 1% | |
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Captions
Microsoft
created on 2019-01-31
a group of people riding on the back of a motorcycle | 30.3% | |
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a group of people on a motorcycle | 30.2% | |
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a group of people in a car | 30.1% | |
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