Machine Generated Data
Tags
Amazon
created on 2021-04-04
Clarifai
created on 2021-04-04
Imagga
created on 2021-04-04
sword | 42.9 | |
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weapon | 35.4 | |
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man | 24.8 | |
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black | 20.3 | |
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person | 19.4 | |
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musical instrument | 19.4 | |
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people | 19 | |
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adult | 18.3 | |
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dark | 16.7 | |
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percussion instrument | 16.6 | |
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portrait | 15.5 | |
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crutch | 14.6 | |
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male | 14.2 | |
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one | 14.2 | |
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sport | 12.4 | |
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silhouette | 12.4 | |
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fashion | 12.1 | |
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water | 12 | |
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model | 11.7 | |
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staff | 11.3 | |
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stick | 11.3 | |
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performer | 11.1 | |
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device | 10.8 | |
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posing | 10.7 | |
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cool | 10.6 | |
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urban | 10.5 | |
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skateboard | 10.3 | |
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action | 10.2 | |
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sensuality | 10 | |
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city | 10 | |
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human | 9.7 | |
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metal | 9.7 | |
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style | 9.6 | |
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body | 9.6 | |
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performance | 9.6 | |
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dance | 9.5 | |
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motion | 9.4 | |
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wall | 9.4 | |
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danger | 9.1 | |
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exercise | 9.1 | |
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old | 9 | |
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dirty | 9 | |
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active | 9 | |
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sexy | 8.8 | |
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wheeled vehicle | 8.6 | |
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moving | 8.6 | |
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attractive | 8.4 | |
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power | 8.4 | |
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elegance | 8.4 | |
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stringed instrument | 8.3 | |
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teenager | 8.2 | |
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pose | 8.1 | |
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fitness | 8.1 | |
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dress | 8.1 | |
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music | 8.1 | |
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wet | 8 | |
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dancer | 8 | |
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hair | 7.9 | |
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art | 7.8 | |
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modern | 7.7 | |
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grunge | 7.7 | |
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studio | 7.6 | |
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board | 7.6 | |
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balance | 7.6 | |
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instrument | 7.5 | |
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fun | 7.5 | |
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vehicle | 7.5 | |
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street | 7.4 | |
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brass | 7.4 | |
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light | 7.3 | |
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conveyance | 7.3 | |
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lifestyle | 7.2 | |
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women | 7.1 | |
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night | 7.1 | |
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Google
created on 2021-04-04
Black | 89.7 | |
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Sports equipment | 87.6 | |
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Style | 83.8 | |
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Black-and-white | 83.7 | |
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Skatepark | 80.3 | |
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Skateboarder | 80.2 | |
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Rolling | 79.5 | |
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Skateboard | 76.4 | |
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Monochrome photography | 74.2 | |
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Monochrome | 72.8 | |
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Kickflip | 67.7 | |
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Stock photography | 65.5 | |
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Skateboarding Equipment | 63.6 | |
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Asphalt | 62.1 | |
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Flash photography | 60.8 | |
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Suit | 58.3 | |
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Vintage clothing | 56.8 | |
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Street stunts | 56.6 | |
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Crew | 56.4 | |
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Extreme sport | 56.1 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 7-17 |
Gender | Male, 79.2% |
Calm | 43.7% |
Fear | 23.1% |
Sad | 18.5% |
Angry | 5% |
Surprised | 3.7% |
Happy | 2.5% |
Confused | 2% |
Disgusted | 1.6% |

AWS Rekognition
Age | 23-37 |
Gender | Female, 51.9% |
Sad | 63.2% |
Angry | 13.1% |
Fear | 7.6% |
Calm | 6.8% |
Surprised | 3.7% |
Confused | 2.9% |
Happy | 1.4% |
Disgusted | 1.3% |

AWS Rekognition
Age | 39-57 |
Gender | Male, 95.6% |
Sad | 76.9% |
Calm | 15.2% |
Angry | 2% |
Happy | 1.8% |
Disgusted | 1.5% |
Confused | 1.2% |
Fear | 1.1% |
Surprised | 0.3% |

AWS Rekognition
Age | 23-37 |
Gender | Male, 90.6% |
Sad | 86.4% |
Calm | 9.2% |
Fear | 1.7% |
Happy | 1.1% |
Confused | 0.6% |
Disgusted | 0.4% |
Angry | 0.4% |
Surprised | 0.3% |
Feature analysis
Categories
Imagga
paintings art | 82.2% | |
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cars vehicles | 11.6% | |
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food drinks | 3% | |
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interior objects | 1.8% | |
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Captions
Microsoft
created on 2021-04-04
an old photo of a person | 57.7% | |
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a group of people on a stage | 42.2% | |
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a person standing in front of a building | 42.1% | |
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Text analysis
Amazon

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