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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Person | 99.3 | |
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Person | 99.3 | |
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Candle | 97.8 | |
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Clothing | 97.2 | |
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Apparel | 97.2 | |
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Furniture | 96.2 | |
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Meal | 95.2 | |
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Food | 95.2 | |
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Dish | 92.8 | |
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Sunglasses | 91.4 | |
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Accessories | 91.4 | |
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Accessory | 91.4 | |
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Table | 87.6 | |
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Dining Table | 85.7 | |
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Person | 84.6 | |
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Face | 82.4 | |
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People | 64.3 | |
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Chair | 62.6 | |
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Hat | 61.8 | |
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Dinner | 59.2 | |
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Supper | 59.2 | |
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Restaurant | 58.5 | |
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Portrait | 58.1 | |
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Photography | 58.1 | |
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Photo | 58.1 | |
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Couch | 56.1 | |
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Clarifai
created on 2025-01-09
Imagga
created on 2022-03-12
Google
created on 2022-03-12
Smile | 97.5 | |
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Tableware | 95 | |
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Photograph | 94.3 | |
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White | 92.2 | |
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Black | 90 | |
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Table | 88.8 | |
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Black-and-white | 86.6 | |
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Plate | 85.9 | |
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Style | 84.1 | |
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People | 79.3 | |
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Monochrome | 77.4 | |
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Picture frame | 77.1 | |
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Monochrome photography | 76.4 | |
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Drinkware | 76.3 | |
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Curtain | 76 | |
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Hat | 75.3 | |
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Snapshot | 74.3 | |
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Cup | 74.3 | |
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Event | 73.4 | |
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Vintage clothing | 71.6 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 6-16 |
Gender | Female, 100% |
Happy | 98.3% |
Surprised | 0.6% |
Angry | 0.3% |
Disgusted | 0.2% |
Fear | 0.2% |
Calm | 0.2% |
Confused | 0.1% |
Sad | 0.1% |

AWS Rekognition
Age | 6-12 |
Gender | Female, 69.5% |
Happy | 76.3% |
Calm | 6.4% |
Sad | 4.4% |
Angry | 3.8% |
Fear | 3.4% |
Disgusted | 3.2% |
Confused | 1.9% |
Surprised | 0.7% |

AWS Rekognition
Age | 10-18 |
Gender | Female, 100% |
Happy | 88.7% |
Fear | 3.2% |
Disgusted | 1.9% |
Sad | 1.9% |
Angry | 1.7% |
Confused | 1% |
Surprised | 0.9% |
Calm | 0.6% |

AWS Rekognition
Age | 2-10 |
Gender | Female, 99.9% |
Happy | 59.8% |
Angry | 13.7% |
Sad | 7.7% |
Fear | 6.2% |
Surprised | 5.4% |
Disgusted | 3.5% |
Confused | 1.9% |
Calm | 1.8% |

AWS Rekognition
Age | 6-16 |
Gender | Male, 86.8% |
Calm | 39.7% |
Confused | 26.5% |
Surprised | 11.7% |
Happy | 7.6% |
Sad | 5.2% |
Angry | 4% |
Fear | 3.8% |
Disgusted | 1.4% |

Microsoft Cognitive Services
Age | 23 |
Gender | Male |

Microsoft Cognitive Services
Age | 12 |
Gender | Female |

Microsoft Cognitive Services
Age | 6 |
Gender | Female |

Microsoft Cognitive Services
Age | 34 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | 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 | Likely |
Headwear | Very likely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 99.5% | |
|
Captions
Microsoft
created on 2022-03-12
Text analysis
Amazon

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