Machine Generated Data
Tags
Amazon
created on 2022-03-12
Person | 99.7 | |
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Human | 99.7 | |
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Person | 99.6 | |
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Airport | 99.4 | |
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Person | 99.2 | |
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Person | 99.2 | |
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Person | 98.8 | |
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Airplane | 98.6 | |
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Vehicle | 98.6 | |
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Transportation | 98.6 | |
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Aircraft | 98.6 | |
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Person | 97.6 | |
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Airfield | 97.6 | |
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Person | 97.5 | |
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Person | 97 | |
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Person | 96.2 | |
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Person | 88.5 | |
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Landing | 70.7 | |
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Person | 66.6 | |
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Silhouette | 64.4 | |
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Warplane | 63.1 | |
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Airliner | 62.4 | |
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Tarmac | 62 | |
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Asphalt | 62 | |
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Truck | 59 | |
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Jet | 56.8 | |
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Person | 54.5 | |
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Person | 43.8 | |
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Clarifai
created on 2025-01-10
Imagga
created on 2022-03-12
ship | 56 | |
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aircraft carrier | 54 | |
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warship | 46.7 | |
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military vehicle | 36.3 | |
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sky | 32.2 | |
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vessel | 30.6 | |
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water | 28.7 | |
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vehicle | 25.9 | |
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sea | 23.5 | |
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boat | 22.8 | |
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travel | 22.5 | |
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ocean | 19.2 | |
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landscape | 18.6 | |
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structure | 18.3 | |
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clouds | 17.7 | |
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billboard | 17.6 | |
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craft | 17.1 | |
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harbor | 15.4 | |
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cloud | 14.6 | |
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sunset | 14.4 | |
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bay | 14.2 | |
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summer | 14.1 | |
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signboard | 13.5 | |
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tourism | 13.2 | |
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boats | 12.6 | |
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transportation | 12.6 | |
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urban | 12.2 | |
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sun | 12.1 | |
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beach | 11.8 | |
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city | 11.6 | |
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river | 11.6 | |
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wire | 11.4 | |
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transport | 11 | |
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coast | 10.8 | |
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dock | 10.7 | |
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vacation | 10.6 | |
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port | 10.6 | |
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outdoors | 10.5 | |
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marina | 10.4 | |
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industry | 10.2 | |
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island | 10.1 | |
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industrial | 10 | |
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airport | 9.8 | |
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jet | 9.7 | |
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conveyance | 9.6 | |
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architecture | 9.4 | |
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environment | 9 | |
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bridge | 9 | |
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recreation | 9 | |
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tower | 9 | |
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cable | 8.5 | |
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cloudy | 8.4 | |
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resort | 8.4 | |
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power | 8.4 | |
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shore | 8.4 | |
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air | 8.3 | |
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grass | 7.9 | |
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scenic | 7.9 | |
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sand | 7.9 | |
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yacht | 7.8 | |
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tramway | 7.8 | |
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airplane | 7.7 | |
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fishing | 7.7 | |
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outdoor | 7.6 | |
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pier | 7.5 | |
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field | 7.5 | |
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coastline | 7.5 | |
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leisure | 7.5 | |
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technology | 7.4 | |
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light | 7.4 | |
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scenery | 7.2 | |
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rural | 7.1 | |
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car | 7 | |
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passenger | 7 | |
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Google
created on 2022-03-12
Sky | 96.2 | |
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Cloud | 96 | |
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Aircraft | 92.7 | |
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Airplane | 90.3 | |
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Vehicle | 86.2 | |
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Aviation | 85.5 | |
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Aerospace manufacturer | 84.8 | |
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Air travel | 81.4 | |
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Propeller-driven aircraft | 80.7 | |
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Military aircraft | 80.7 | |
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Monoplane | 77.8 | |
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Airliner | 77.4 | |
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Jet aircraft | 74.8 | |
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Flap | 73.4 | |
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Fighter aircraft | 73.4 | |
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Airline | 69.6 | |
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Monochrome | 68 | |
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Aerospace engineering | 67.9 | |
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Propeller | 66 | |
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Airport apron | 66 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 21-29 |
Gender | Male, 55.1% |
Angry | 38.7% |
Calm | 37.4% |
Confused | 7.1% |
Disgusted | 4.8% |
Fear | 4.7% |
Sad | 3.3% |
Surprised | 2.2% |
Happy | 1.8% |

AWS Rekognition
Age | 48-56 |
Gender | Male, 99.4% |
Angry | 37.7% |
Calm | 33.3% |
Sad | 16.8% |
Disgusted | 7.2% |
Confused | 1.6% |
Happy | 1.3% |
Surprised | 1.3% |
Fear | 0.8% |

AWS Rekognition
Age | 29-39 |
Gender | Female, 100% |
Sad | 99.7% |
Calm | 0.2% |
Fear | 0% |
Happy | 0% |
Angry | 0% |
Confused | 0% |
Disgusted | 0% |
Surprised | 0% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 99.8% |
Sad | 30% |
Angry | 23% |
Disgusted | 18.4% |
Calm | 17.5% |
Confused | 4.2% |
Surprised | 3.3% |
Fear | 2.3% |
Happy | 1.3% |

AWS Rekognition
Age | 29-39 |
Gender | Male, 89.1% |
Happy | 69.7% |
Calm | 19.8% |
Angry | 3.5% |
Sad | 3.1% |
Disgusted | 1.4% |
Surprised | 1.4% |
Fear | 0.6% |
Confused | 0.5% |

AWS Rekognition
Age | 6-14 |
Gender | Male, 69.6% |
Calm | 63.2% |
Disgusted | 8.1% |
Happy | 7.2% |
Sad | 7.1% |
Confused | 5.4% |
Fear | 5% |
Angry | 3.2% |
Surprised | 0.8% |

AWS Rekognition
Age | 40-48 |
Gender | Female, 57.5% |
Disgusted | 97.8% |
Happy | 1.6% |
Angry | 0.1% |
Calm | 0.1% |
Sad | 0.1% |
Surprised | 0.1% |
Confused | 0% |
Fear | 0% |

AWS Rekognition
Age | 39-47 |
Gender | Male, 99.9% |
Angry | 31.8% |
Confused | 30.7% |
Surprised | 16.5% |
Calm | 14.4% |
Sad | 4.3% |
Disgusted | 1.2% |
Fear | 0.7% |
Happy | 0.5% |

AWS Rekognition
Age | 30-40 |
Gender | Female, 94.6% |
Sad | 34.5% |
Angry | 31.6% |
Disgusted | 15.5% |
Calm | 8.8% |
Happy | 5.3% |
Confused | 1.6% |
Fear | 1.5% |
Surprised | 1.2% |

AWS Rekognition
Age | 30-40 |
Gender | Male, 100% |
Calm | 74.2% |
Angry | 10.1% |
Sad | 9.9% |
Disgusted | 1.9% |
Happy | 1.2% |
Confused | 0.9% |
Surprised | 0.9% |
Fear | 0.8% |

AWS Rekognition
Age | 16-24 |
Gender | Male, 97.5% |
Fear | 35.8% |
Angry | 21.8% |
Surprised | 21.5% |
Sad | 8.7% |
Confused | 6.5% |
Disgusted | 2.8% |
Calm | 1.7% |
Happy | 1.3% |

AWS Rekognition
Age | 37-45 |
Gender | Male, 98.6% |
Calm | 75.3% |
Surprised | 12.3% |
Disgusted | 3.4% |
Sad | 3% |
Confused | 2.2% |
Fear | 1.7% |
Angry | 1.4% |
Happy | 0.9% |

AWS Rekognition
Age | 45-53 |
Gender | Male, 95% |
Angry | 43.2% |
Calm | 17.3% |
Sad | 13% |
Fear | 8.5% |
Surprised | 6% |
Disgusted | 4.4% |
Confused | 4.3% |
Happy | 3.3% |

AWS Rekognition
Age | 33-41 |
Gender | Male, 99.6% |
Calm | 58.3% |
Angry | 11.4% |
Surprised | 10.9% |
Sad | 6.3% |
Fear | 6% |
Confused | 3.8% |
Disgusted | 2.2% |
Happy | 1.1% |

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 | 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 | Possible |
Headwear | Very unlikely |
Blurred | Very unlikely |

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 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 | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
cars vehicles | 96.8% | |
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nature landscape | 1.3% | |
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Captions
Microsoft
created on 2022-03-12
a group of people standing around a plane | 97.1% | |
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a group of people standing in front of a plane | 95.8% | |
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a group of people standing in front of an airplane | 95.7% | |
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Text analysis
Amazon

SJ

NATIONAL

38

NATIONAL AIRLINES

AIRLINES

YТЭ

رحيم

38
YT37A2 - AGON

38

YT37A2

-

AGON