Machine Generated Data
Tags
Amazon
created on 2022-03-05
Clothing | 99.6 | |
| ||
Apparel | 99.6 | |
| ||
Person | 99.6 | |
| ||
Human | 99.6 | |
| ||
Person | 99.4 | |
| ||
Person | 99 | |
| ||
Person | 98.7 | |
| ||
Person | 97 | |
| ||
Person | 96.8 | |
| ||
Person | 96.2 | |
| ||
Person | 95.9 | |
| ||
Person | 94.4 | |
| ||
Tie | 93.6 | |
| ||
Accessories | 93.6 | |
| ||
Accessory | 93.6 | |
| ||
Person | 93.2 | |
| ||
Face | 90.7 | |
| ||
Person | 88.9 | |
| ||
Tie | 85.1 | |
| ||
Robe | 83.9 | |
| ||
Fashion | 83.9 | |
| ||
Indoors | 82.1 | |
| ||
Meal | 81.3 | |
| ||
Food | 81.3 | |
| ||
Gown | 79.9 | |
| ||
Wedding | 77.6 | |
| ||
People | 73 | |
| ||
Person | 72.7 | |
| ||
Room | 72.4 | |
| ||
Wedding Gown | 69.1 | |
| ||
Crowd | 66.8 | |
| ||
Suit | 66 | |
| ||
Coat | 66 | |
| ||
Overcoat | 66 | |
| ||
Portrait | 65.5 | |
| ||
Photography | 65.5 | |
| ||
Photo | 65.5 | |
| ||
Person | 61.5 | |
| ||
Female | 59.6 | |
| ||
Dress | 59.6 | |
| ||
Shirt | 59.2 | |
| ||
Dish | 59.1 | |
| ||
Bridegroom | 57.5 | |
| ||
Floor | 56.6 | |
| ||
Bride | 56.6 | |
| ||
Table | 55.4 | |
| ||
Furniture | 55.4 | |
| ||
Person | 48.2 | |
| ||
Person | 46 | |
| ||
Person | 43.3 | |
|
Clarifai
created on 2023-10-22
Imagga
created on 2022-03-05
Google
created on 2022-03-05
Photograph | 94.2 | |
| ||
Black-and-white | 85.5 | |
| ||
Style | 84 | |
| ||
Line | 81.9 | |
| ||
Headgear | 81.7 | |
| ||
Font | 81.4 | |
| ||
Suit | 79.9 | |
| ||
Adaptation | 79.2 | |
| ||
Crowd | 78.8 | |
| ||
Art | 77 | |
| ||
Monochrome photography | 76.6 | |
| ||
Monochrome | 76.5 | |
| ||
Hat | 75.8 | |
| ||
T-shirt | 73.7 | |
| ||
Event | 73.1 | |
| ||
Room | 68.5 | |
| ||
Uniform | 67.4 | |
| ||
Illustration | 66.4 | |
| ||
Crew | 66 | |
| ||
Photo caption | 65.4 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 25-35 |
Gender | Male, 93.3% |
Calm | 76.1% |
Sad | 17.7% |
Happy | 2.3% |
Angry | 1.6% |
Confused | 1.1% |
Fear | 0.5% |
Surprised | 0.4% |
Disgusted | 0.3% |

AWS Rekognition
Age | 47-53 |
Gender | Male, 99.5% |
Calm | 59.5% |
Sad | 26.5% |
Happy | 4.4% |
Confused | 3.9% |
Disgusted | 2.7% |
Angry | 2.1% |
Fear | 0.4% |
Surprised | 0.4% |

AWS Rekognition
Age | 54-64 |
Gender | Male, 62.2% |
Calm | 98.4% |
Sad | 0.9% |
Surprised | 0.3% |
Confused | 0.2% |
Angry | 0.1% |
Disgusted | 0.1% |
Happy | 0% |
Fear | 0% |

AWS Rekognition
Age | 37-45 |
Gender | Male, 94.9% |
Sad | 59% |
Calm | 28.5% |
Confused | 7.6% |
Happy | 3.5% |
Disgusted | 0.5% |
Angry | 0.4% |
Surprised | 0.2% |
Fear | 0.2% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 93.6% |
Happy | 53.7% |
Sad | 19.2% |
Calm | 15.4% |
Confused | 3.5% |
Angry | 3.3% |
Disgusted | 2.2% |
Surprised | 1.8% |
Fear | 0.8% |

AWS Rekognition
Age | 42-50 |
Gender | Male, 99.7% |
Calm | 72% |
Sad | 13.9% |
Happy | 8.1% |
Confused | 1.9% |
Angry | 1.7% |
Disgusted | 1.4% |
Surprised | 0.7% |
Fear | 0.4% |

AWS Rekognition
Age | 29-39 |
Gender | Male, 96.4% |
Calm | 99.5% |
Confused | 0.2% |
Sad | 0.1% |
Angry | 0% |
Happy | 0% |
Surprised | 0% |
Fear | 0% |
Disgusted | 0% |

AWS Rekognition
Age | 47-53 |
Gender | Male, 99.4% |
Calm | 91.4% |
Angry | 2.7% |
Sad | 1.4% |
Happy | 1.3% |
Confused | 1.3% |
Surprised | 1.1% |
Disgusted | 0.6% |
Fear | 0.1% |

AWS Rekognition
Age | 48-56 |
Gender | Male, 69.3% |
Sad | 39% |
Confused | 31.8% |
Calm | 19.4% |
Surprised | 5.3% |
Disgusted | 1.4% |
Fear | 1.2% |
Happy | 1.1% |
Angry | 0.7% |

AWS Rekognition
Age | 40-48 |
Gender | Female, 96.2% |
Calm | 98.8% |
Happy | 0.4% |
Sad | 0.3% |
Confused | 0.2% |
Disgusted | 0.1% |
Angry | 0.1% |
Surprised | 0.1% |
Fear | 0% |

AWS Rekognition
Age | 24-34 |
Gender | Female, 54.5% |
Calm | 99.4% |
Sad | 0.3% |
Confused | 0.1% |
Angry | 0% |
Happy | 0% |
Disgusted | 0% |
Fear | 0% |
Surprised | 0% |

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 | 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 | 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 | 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 | Unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very likely |
Feature analysis
Categories
Imagga
streetview architecture | 47.8% | |
| ||
events parties | 16.2% | |
| ||
people portraits | 14.7% | |
| ||
text visuals | 7.9% | |
| ||
paintings art | 7.5% | |
| ||
interior objects | 3.3% | |
|
Captions
Microsoft
created on 2022-03-05
a group of people standing in front of a crowd | 92.4% | |
| ||
a group of people standing in front of a crowd posing for the camera | 89.5% | |
| ||
a group of people posing for a photo in front of a crowd | 89.4% | |
|
Text analysis
Amazon

28

e8

e8

e8