Machine Generated Data
Tags
Amazon
created on 2022-03-12
Person | 99.6 | |
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Human | 99.6 | |
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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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Person | 99.1 | |
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Person | 98.9 | |
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Person | 98.8 | |
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Person | 98.5 | |
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Meal | 98 | |
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Food | 98 | |
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Clothing | 98 | |
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Apparel | 98 | |
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Person | 97.6 | |
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Person | 94.8 | |
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Dish | 93.8 | |
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Furniture | 93.5 | |
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Person | 93.4 | |
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Person | 92.8 | |
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Dining Table | 92.5 | |
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Table | 92.5 | |
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Person | 91.4 | |
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Restaurant | 90.2 | |
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Suit | 85.4 | |
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Coat | 85.4 | |
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Overcoat | 85.4 | |
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Tablecloth | 83.2 | |
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Beer | 80.3 | |
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Beverage | 80.3 | |
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Alcohol | 80.3 | |
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Drink | 80.3 | |
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Plant | 68.6 | |
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Glass | 67.5 | |
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Person | 63.4 | |
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Flower | 63.1 | |
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Blossom | 63.1 | |
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Gown | 58.6 | |
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Fashion | 58.6 | |
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Party | 58 | |
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Robe | 58 | |
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Cafeteria | 56.3 | |
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Buffet | 55.1 | |
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Clarifai
created on 2025-01-09
people | 99.9 | |
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group | 99.8 | |
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group together | 99.7 | |
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many | 98.8 | |
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several | 98.7 | |
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adult | 98.3 | |
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man | 97.8 | |
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woman | 97.8 | |
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leader | 96.7 | |
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administration | 96.3 | |
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four | 94.7 | |
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child | 93.1 | |
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actress | 92.2 | |
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family | 91.3 | |
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facial expression | 91.2 | |
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music | 90 | |
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offspring | 88.6 | |
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furniture | 86.8 | |
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five | 86.6 | |
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recreation | 86.5 | |
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Imagga
created on 2022-03-12
Google
created on 2022-03-12
Photograph | 94.1 | |
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Table | 90.6 | |
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Black | 89.7 | |
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Black-and-white | 86.1 | |
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Style | 84 | |
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Adaptation | 79.3 | |
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Bottle | 78.4 | |
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Monochrome | 76.6 | |
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Monochrome photography | 76.3 | |
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Fun | 75.8 | |
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Event | 74.7 | |
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Snapshot | 74.3 | |
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Vintage clothing | 71.4 | |
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Sharing | 67.6 | |
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Stock photography | 65 | |
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History | 64.4 | |
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Suit | 64.1 | |
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Tableware | 63.3 | |
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Rehearsal dinner | 61.9 | |
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Family reunion | 61.1 | |
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Microsoft
created on 2022-03-12
person | 99.9 | |
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bottle | 96.4 | |
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clothing | 96 | |
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man | 89.4 | |
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human face | 89.2 | |
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indoor | 85.2 | |
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woman | 83.1 | |
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text | 78.9 | |
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black and white | 64.2 | |
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cut | 62 | |
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people | 61.8 | |
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group | 59.9 | |
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drink | 52.8 | |
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dining table | 6.2 | |
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crowd | 1.2 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 22-30 |
Gender | Male, 98.3% |
Calm | 99% |
Sad | 0.5% |
Disgusted | 0.3% |
Angry | 0.1% |
Surprised | 0.1% |
Confused | 0% |
Fear | 0% |
Happy | 0% |

AWS Rekognition
Age | 40-48 |
Gender | Male, 99.9% |
Disgusted | 49.3% |
Surprised | 29.8% |
Confused | 7.1% |
Angry | 6.1% |
Happy | 2.6% |
Fear | 2% |
Calm | 1.9% |
Sad | 1.1% |

AWS Rekognition
Age | 29-39 |
Gender | Male, 100% |
Calm | 74.5% |
Angry | 10.7% |
Confused | 4.8% |
Sad | 3.3% |
Happy | 2.5% |
Disgusted | 2.3% |
Fear | 1% |
Surprised | 1% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 99.9% |
Sad | 79.6% |
Calm | 7.5% |
Happy | 5.7% |
Confused | 2.4% |
Angry | 2.2% |
Disgusted | 1.1% |
Fear | 1% |
Surprised | 0.6% |

AWS Rekognition
Age | 29-39 |
Gender | Female, 100% |
Happy | 98.8% |
Confused | 0.2% |
Disgusted | 0.2% |
Surprised | 0.2% |
Sad | 0.1% |
Fear | 0.1% |
Angry | 0.1% |
Calm | 0.1% |

AWS Rekognition
Age | 27-37 |
Gender | Male, 100% |
Calm | 97.9% |
Confused | 1.6% |
Sad | 0.1% |
Surprised | 0.1% |
Fear | 0.1% |
Angry | 0.1% |
Disgusted | 0.1% |
Happy | 0% |

AWS Rekognition
Age | 33-41 |
Gender | Female, 100% |
Happy | 86.4% |
Sad | 5.7% |
Fear | 2.1% |
Surprised | 1.9% |
Calm | 1.6% |
Angry | 1.1% |
Disgusted | 0.7% |
Confused | 0.6% |

AWS Rekognition
Age | 43-51 |
Gender | Male, 93.2% |
Sad | 92.4% |
Confused | 7.5% |
Calm | 0% |
Fear | 0% |
Angry | 0% |
Disgusted | 0% |
Surprised | 0% |
Happy | 0% |

AWS Rekognition
Age | 29-39 |
Gender | Male, 74.8% |
Angry | 25% |
Confused | 20.9% |
Fear | 19.2% |
Sad | 14.4% |
Calm | 13.3% |
Surprised | 3.3% |
Disgusted | 2.5% |
Happy | 1.4% |

AWS Rekognition
Age | 30-40 |
Gender | Female, 99.8% |
Calm | 98.7% |
Surprised | 0.8% |
Happy | 0.3% |
Angry | 0.1% |
Sad | 0% |
Confused | 0% |
Disgusted | 0% |
Fear | 0% |

AWS Rekognition
Age | 54-62 |
Gender | Male, 99.2% |
Calm | 56.9% |
Happy | 24.6% |
Sad | 14.2% |
Disgusted | 2.4% |
Surprised | 0.5% |
Angry | 0.5% |
Fear | 0.4% |
Confused | 0.4% |

AWS Rekognition
Age | 45-53 |
Gender | Male, 99.9% |
Calm | 37.9% |
Disgusted | 23.2% |
Surprised | 13.2% |
Confused | 7.4% |
Happy | 7% |
Fear | 5.1% |
Sad | 4.8% |
Angry | 1.4% |

Microsoft Cognitive Services
Age | 29 |
Gender | Male |

Microsoft Cognitive Services
Age | 38 |
Gender | Female |

Microsoft Cognitive Services
Age | 33 |
Gender | Female |

Microsoft Cognitive Services
Age | 32 |
Gender | Male |

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 | Very unlikely |
Sorrow | Very unlikely |
Joy | Likely |
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 likely |
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 | 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 |
Feature analysis
Categories
Imagga
people portraits | 97% | |
| ||
events parties | 2.1% | |
|
Captions
Microsoft
created on 2022-03-12
Jinx Falkenburg et al. standing on top of a cutting board with a cake | 83.3% | |
| ||
Jinx Falkenburg et al. on a cutting board with a cake | 83.2% | |
| ||
Jinx Falkenburg et al. cutting a cake | 83.1% | |
|
Text analysis
Amazon

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