Machine Generated Data
Tags
Amazon
created on 2022-01-15
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-15
camper | 21.5 | |
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helmet | 19.2 | |
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device | 17.5 | |
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recreational vehicle | 17.2 | |
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football helmet | 17.1 | |
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sky | 15.3 | |
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travel | 14.1 | |
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self-propelled vehicle | 13.3 | |
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wheeled vehicle | 12.9 | |
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protection | 12.7 | |
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cockpit | 12.1 | |
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vehicle | 12.1 | |
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earth | 11.9 | |
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machine | 11.8 | |
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sea | 11.7 | |
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equipment | 11.5 | |
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headdress | 11.3 | |
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technology | 11.1 | |
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negative | 11.1 | |
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transport | 11 | |
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industrial | 10.9 | |
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clothing | 10.7 | |
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business | 10.3 | |
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industry | 10.2 | |
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power | 10.1 | |
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film | 9.7 | |
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military | 9.7 | |
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respirator | 9.4 | |
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structure | 9.4 | |
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light | 9.4 | |
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iron lung | 9.3 | |
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danger | 9.1 | |
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black | 9 | |
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protective | 8.8 | |
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building | 8.7 | |
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aircraft | 8.5 | |
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truck | 8.4 | |
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action | 8.3 | |
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moon | 8.2 | |
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team | 8.1 | |
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person | 7.7 | |
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mask | 7.7 | |
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old | 7.7 | |
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clouds | 7.6 | |
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dark | 7.5 | |
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globe | 7.4 | |
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man | 7.4 | |
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training | 7.4 | |
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safety | 7.4 | |
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air | 7.4 | |
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island | 7.3 | |
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global | 7.3 | |
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metal | 7.2 | |
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road | 7.2 | |
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world | 7.2 | |
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transportation | 7.2 | |
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architecture | 7 | |
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Google
created on 2022-01-15
Aircraft | 91.2 | |
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Airplane | 85.7 | |
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Vehicle | 84 | |
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Aerospace manufacturer | 83.2 | |
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Aviation | 79.6 | |
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Tints and shades | 75.4 | |
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Propeller-driven aircraft | 75 | |
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Propeller | 74.6 | |
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Snapshot | 74.3 | |
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Light aircraft | 69.8 | |
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Monoplane | 68.1 | |
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Air travel | 64.2 | |
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Aerospace engineering | 63.2 | |
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Stock photography | 62.6 | |
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General aviation | 60.2 | |
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Biplane | 59.9 | |
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Rectangle | 58 | |
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Visual arts | 55.3 | |
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Photographic paper | 54.9 | |
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Flight | 53.9 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 35-43 |
Gender | Male, 87.5% |
Confused | 52.1% |
Sad | 29.5% |
Happy | 5.4% |
Disgusted | 5.2% |
Calm | 4.5% |
Surprised | 1.7% |
Angry | 1.1% |
Fear | 0.5% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 99.1% |
Sad | 71.1% |
Confused | 9.1% |
Calm | 7.4% |
Happy | 5.3% |
Disgusted | 4% |
Angry | 1.3% |
Surprised | 1% |
Fear | 0.8% |

AWS Rekognition
Age | 39-47 |
Gender | Male, 98.4% |
Happy | 53.3% |
Sad | 25.3% |
Calm | 17% |
Disgusted | 1.5% |
Confused | 1.2% |
Angry | 0.8% |
Fear | 0.5% |
Surprised | 0.5% |

AWS Rekognition
Age | 37-45 |
Gender | Male, 96% |
Sad | 90.6% |
Disgusted | 3.3% |
Calm | 2.7% |
Surprised | 1.1% |
Confused | 0.8% |
Fear | 0.8% |
Happy | 0.4% |
Angry | 0.3% |

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 | 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 | Very 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
paintings art | 99.1% | |
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Captions
Text analysis

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