Machine Generated Data
Tags
Amazon
created on 2022-01-30
Person | 99.7 | |
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Human | 99.7 | |
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Person | 99.3 | |
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Person | 99.2 | |
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Person | 98.5 | |
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Person | 98.2 | |
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Person | 95 | |
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Person | 94.3 | |
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Person | 93.5 | |
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Musician | 92.9 | |
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Musical Instrument | 92.9 | |
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Person | 92.1 | |
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Person | 91.7 | |
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Shorts | 91.2 | |
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Clothing | 91.2 | |
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Apparel | 91.2 | |
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Person | 91.2 | |
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Person | 90.8 | |
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Person | 85.6 | |
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Tie | 79.4 | |
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Accessories | 79.4 | |
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Accessory | 79.4 | |
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Stage | 78.6 | |
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Leisure Activities | 76.1 | |
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People | 69.8 | |
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Crowd | 67.7 | |
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Music Band | 66.2 | |
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Guitar | 62.2 | |
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Guitarist | 60.4 | |
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Performer | 60.4 | |
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Room | 55.7 | |
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Indoors | 55.7 | |
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Clarifai
created on 2023-10-29
Imagga
created on 2022-01-30
film | 31.9 | |
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x-ray film | 30.5 | |
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blackboard | 29.1 | |
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stage | 22.8 | |
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photographic paper | 22.4 | |
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freight car | 20 | |
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black | 19.2 | |
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car | 19 | |
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grunge | 17 | |
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platform | 16.9 | |
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art | 16.9 | |
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silhouette | 16.5 | |
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people | 15 | |
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photographic equipment | 14.9 | |
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wheeled vehicle | 14.9 | |
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vintage | 11.6 | |
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crowd | 11.5 | |
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design | 11.2 | |
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old | 11.1 | |
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texture | 11.1 | |
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business | 10.9 | |
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equipment | 10.8 | |
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man | 10.7 | |
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building | 10.7 | |
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billboard | 10.7 | |
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negative | 10.6 | |
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vehicle | 10.3 | |
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party | 10.3 | |
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symbol | 10.1 | |
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retro | 9.8 | |
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night | 9.8 | |
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group | 9.7 | |
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antique | 9.5 | |
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city | 9.1 | |
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hand | 9.1 | |
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digital | 8.9 | |
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style | 8.9 | |
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pattern | 8.9 | |
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women | 8.7 | |
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signboard | 8.6 | |
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men | 8.6 | |
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grungy | 8.5 | |
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structure | 8.5 | |
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paint | 8.1 | |
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aged | 8.1 | |
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dirty | 8.1 | |
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world | 8.1 | |
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urban | 7.9 | |
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rock | 7.8 | |
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space | 7.8 | |
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television | 7.6 | |
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window | 7.5 | |
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frame | 7.5 | |
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fun | 7.5 | |
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map | 7.5 | |
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computer | 7.3 | |
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graphic | 7.3 | |
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global | 7.3 | |
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border | 7.2 | |
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music | 7.2 | |
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adult | 7.2 | |
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person | 7.1 | |
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male | 7.1 | |
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working | 7.1 | |
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architecture | 7 | |
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Google
created on 2022-01-30
Black | 89.5 | |
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Rectangle | 86 | |
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Font | 78.9 | |
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Snapshot | 74.3 | |
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Technology | 73.6 | |
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Picture frame | 73.1 | |
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Art | 71.7 | |
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Monochrome photography | 68.7 | |
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Room | 68.3 | |
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Visual arts | 66.9 | |
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Event | 66.5 | |
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Monochrome | 66.2 | |
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Suit | 65.4 | |
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Stock photography | 63.2 | |
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History | 61.8 | |
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Team | 61.8 | |
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Photographic paper | 58.5 | |
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Display device | 57.8 | |
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Vintage clothing | 53.7 | |
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Collection | 53.2 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 35-43 |
Gender | Male, 99.6% |
Calm | 100% |
Surprised | 0% |
Sad | 0% |
Confused | 0% |
Angry | 0% |
Happy | 0% |
Disgusted | 0% |
Fear | 0% |

AWS Rekognition
Age | 28-38 |
Gender | Male, 80.4% |
Calm | 82.3% |
Happy | 7.3% |
Sad | 4.8% |
Confused | 3.7% |
Fear | 0.9% |
Angry | 0.5% |
Disgusted | 0.3% |
Surprised | 0.3% |

AWS Rekognition
Age | 43-51 |
Gender | Male, 97.9% |
Happy | 57.9% |
Calm | 40.8% |
Sad | 0.8% |
Surprised | 0.2% |
Confused | 0.1% |
Disgusted | 0.1% |
Angry | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 89.8% |
Sad | 70.2% |
Calm | 21% |
Happy | 4.4% |
Disgusted | 1.4% |
Fear | 0.9% |
Confused | 0.9% |
Angry | 0.8% |
Surprised | 0.4% |

AWS Rekognition
Age | 39-47 |
Gender | Male, 99.7% |
Happy | 37.1% |
Calm | 30.6% |
Sad | 23.7% |
Surprised | 4.2% |
Confused | 1.7% |
Angry | 1.2% |
Disgusted | 1% |
Fear | 0.5% |

AWS Rekognition
Age | 34-42 |
Gender | Male, 99.8% |
Calm | 95.7% |
Happy | 1.9% |
Sad | 1.8% |
Confused | 0.2% |
Disgusted | 0.1% |
Angry | 0.1% |
Surprised | 0.1% |
Fear | 0% |

AWS Rekognition
Age | 40-48 |
Gender | Male, 51.4% |
Sad | 81.1% |
Calm | 16.9% |
Happy | 0.9% |
Confused | 0.4% |
Angry | 0.3% |
Surprised | 0.2% |
Disgusted | 0.2% |
Fear | 0.1% |

AWS Rekognition
Age | 31-41 |
Gender | Female, 90.7% |
Happy | 94.9% |
Calm | 3.8% |
Sad | 0.4% |
Angry | 0.3% |
Confused | 0.2% |
Surprised | 0.2% |
Fear | 0.2% |
Disgusted | 0.1% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 63% |
Calm | 90.7% |
Sad | 6.2% |
Happy | 1.8% |
Angry | 0.5% |
Confused | 0.3% |
Disgusted | 0.2% |
Surprised | 0.2% |
Fear | 0.1% |

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 | 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 | 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 likely |

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 | 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 | 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 | Possible |

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 | Unlikely |
Blurred | 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
interior objects | 43.8% | |
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streetview architecture | 36.1% | |
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nature landscape | 5.2% | |
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pets animals | 4.1% | |
| ||
text visuals | 3.8% | |
| ||
paintings art | 2.6% | |
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cars vehicles | 1.5% | |
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beaches seaside | 1.1% | |
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Captions
Microsoft
created on 2022-01-30
a group of people standing in front of a window | 70.7% | |
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a group of people in a room | 70.6% | |
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a group of people in front of a window | 69% | |
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Text analysis
Amazon

RODOR-SVEET