Machine Generated Data
Tags
Amazon
created on 2022-06-25
Person | 99 | |
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Human | 99 | |
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Restaurant | 98.9 | |
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Person | 98.7 | |
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Person | 98.6 | |
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Person | 97.2 | |
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Furniture | 96.5 | |
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Person | 96.5 | |
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Person | 95.4 | |
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Person | 94.8 | |
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Workshop | 94.6 | |
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Person | 92.5 | |
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Table | 91.3 | |
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Chair | 88.8 | |
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Cafeteria | 82.3 | |
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Dining Table | 81 | |
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Meal | 79.1 | |
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Food | 79.1 | |
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Building | 75.2 | |
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Room | 74.7 | |
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Indoors | 74.7 | |
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Tie | 68.7 | |
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Accessories | 68.7 | |
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Accessory | 68.7 | |
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Food Court | 68.4 | |
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Person | 68 | |
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Cafe | 58.8 | |
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Housing | 58.7 | |
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Factory | 58.2 | |
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Pub | 55.3 | |
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Person | 54.6 | |
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Clarifai
created on 2025-01-10
Imagga
created on 2022-06-25
barbershop | 100 | |
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shop | 100 | |
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mercantile establishment | 100 | |
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place of business | 74.5 | |
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establishment | 37.2 | |
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room | 25.7 | |
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man | 25.5 | |
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indoors | 23.7 | |
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people | 23.4 | |
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interior | 23 | |
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chair | 20.2 | |
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table | 19.9 | |
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medical | 18.5 | |
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male | 18.4 | |
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home | 17.5 | |
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hospital | 15.4 | |
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person | 14.9 | |
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men | 14.6 | |
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work | 14.1 | |
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doctor | 14.1 | |
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life | 14.1 | |
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modern | 14 | |
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medicine | 13.2 | |
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restaurant | 13.2 | |
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patient | 12.8 | |
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food | 12.7 | |
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professional | 12.7 | |
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health | 12.5 | |
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smiling | 12.3 | |
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adult | 12.3 | |
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occupation | 11.9 | |
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glass | 10.9 | |
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house | 10.9 | |
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family | 10.7 | |
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business | 10.3 | |
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women | 10.3 | |
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inside | 10.1 | |
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dinner | 10.1 | |
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kitchen | 9.8 | |
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old | 9.8 | |
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working | 9.7 | |
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dining | 9.5 | |
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happy | 9.4 | |
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lifestyle | 9.4 | |
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floor | 9.3 | |
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portrait | 9.1 | |
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equipment | 9 | |
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laboratory | 8.7 | |
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nurse | 8.7 | |
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scene | 8.7 | |
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party | 8.6 | |
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sitting | 8.6 | |
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senior | 8.4 | |
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mature | 8.4 | |
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drink | 8.3 | |
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city | 8.3 | |
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furniture | 8.2 | |
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window | 8.2 | |
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meal | 8.1 | |
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job | 8 | |
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decoration | 8 | |
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operation | 7.9 | |
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architecture | 7.8 | |
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clinic | 7.8 | |
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ancient | 7.8 | |
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empty | 7.7 | |
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lunch | 7.7 | |
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illness | 7.6 | |
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research | 7.6 | |
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talking | 7.6 | |
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elegance | 7.6 | |
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eat | 7.5 | |
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place | 7.4 | |
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holding | 7.4 | |
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service | 7.4 | |
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seat | 7.3 | |
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office | 7.2 | |
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worker | 7.1 | |
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smile | 7.1 | |
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science | 7.1 | |
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surgeon | 7.1 | |
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decor | 7.1 | |
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Google
created on 2022-06-25
Photograph | 94.2 | |
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Dress | 85.1 | |
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Style | 83.9 | |
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Table | 82.6 | |
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Vintage clothing | 77.7 | |
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Art | 75.1 | |
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Classic | 74.8 | |
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Monochrome | 74.8 | |
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Monochrome photography | 74.3 | |
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Room | 69.7 | |
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Event | 68.2 | |
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History | 67.7 | |
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Stock photography | 65.2 | |
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Fashion design | 63.1 | |
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Collection | 59.6 | |
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Machine | 59 | |
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Visual arts | 54.4 | |
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Retro style | 52 | |
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Window | 50.3 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 21-29 |
Gender | Female, 100% |
Calm | 95.9% |
Surprised | 6.4% |
Fear | 6% |
Sad | 2.3% |
Happy | 2.1% |
Angry | 0.5% |
Disgusted | 0.4% |
Confused | 0.2% |

AWS Rekognition
Age | 29-39 |
Gender | Male, 99.5% |
Calm | 98.7% |
Surprised | 6.4% |
Fear | 6% |
Sad | 2.3% |
Angry | 0.1% |
Disgusted | 0.1% |
Confused | 0.1% |
Happy | 0.1% |

AWS Rekognition
Age | 18-24 |
Gender | Female, 96.1% |
Calm | 61.3% |
Fear | 12.4% |
Sad | 12% |
Surprised | 9.4% |
Confused | 2.8% |
Disgusted | 2.1% |
Angry | 2% |
Happy | 1.6% |

AWS Rekognition
Age | 7-17 |
Gender | Female, 70.8% |
Happy | 95.3% |
Surprised | 7.6% |
Fear | 6% |
Sad | 2.2% |
Calm | 0.8% |
Confused | 0.5% |
Angry | 0.2% |
Disgusted | 0.2% |

AWS Rekognition
Age | 28-38 |
Gender | Male, 100% |
Calm | 79.6% |
Confused | 8.9% |
Surprised | 6.6% |
Fear | 6% |
Sad | 5.9% |
Angry | 2% |
Disgusted | 0.8% |
Happy | 0.4% |

AWS Rekognition
Age | 19-27 |
Gender | Male, 97.8% |
Calm | 99.6% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Confused | 0.1% |
Disgusted | 0% |
Angry | 0% |
Happy | 0% |

AWS Rekognition
Age | 20-28 |
Gender | Male, 99.8% |
Calm | 87.9% |
Surprised | 6.5% |
Fear | 6.2% |
Sad | 4.6% |
Confused | 2.8% |
Happy | 1.2% |
Angry | 0.8% |
Disgusted | 0.4% |

Microsoft Cognitive Services
Age | 23 |
Gender | Female |

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 | Likely |

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 | 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 |
Feature analysis
Categories
Imagga
interior objects | 42.8% | |
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streetview architecture | 34.9% | |
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paintings art | 21.3% | |
|
Captions
Microsoft
created on 2022-06-25
a vintage photo of a person cooking in a kitchen | 61.6% | |
| ||
an old photo of a person cooking in a kitchen | 61.5% | |
| ||
a vintage photo of a person cooking in the kitchen | 60.6% | |
|
Text analysis
Amazon

13

LEE

9 B 13

B

9

LEE SMETER

SMETER

LEE EXCETER

LEE

EXCETER