Machine Generated Data
Tags
Amazon
created on 2022-12-07
Person | 97.9 | |
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Bride | 97.9 | |
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Woman | 97.9 | |
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Adult | 97.9 | |
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Female | 97.9 | |
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Wedding | 97.9 | |
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Person | 97.2 | |
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Person | 97.2 | |
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Person | 95.8 | |
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Person | 95.6 | |
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Person | 95.4 | |
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Person | 95.4 | |
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Person | 94.1 | |
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Person | 92.7 | |
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Person | 91 | |
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Person | 88.4 | |
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Person | 87.5 | |
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Face | 86.2 | |
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Head | 86.2 | |
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Person | 85.6 | |
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Electronics | 84.5 | |
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Person | 84.2 | |
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Person | 83.7 | |
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Person | 82.9 | |
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Person | 82.1 | |
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Person | 81.5 | |
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Person | 81.3 | |
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Person | 74 | |
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Shoe | 73.1 | |
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Footwear | 73.1 | |
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Clothing | 73.1 | |
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Person | 69.7 | |
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Person | 67.8 | |
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Screen | 61.7 | |
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Person | 61.3 | |
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Game | 60.1 | |
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Person | 60.1 | |
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Monitor | 57.3 | |
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Computer Hardware | 57.3 | |
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Hardware | 57.3 | |
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Indoors | 55.9 | |
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Radio | 55.7 | |
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Clarifai
created on 2023-10-12
Imagga
created on 2022-12-07
jukebox | 31 | |
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radio | 25.3 | |
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machine | 24.9 | |
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record player | 24.8 | |
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device | 24 | |
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radio receiver | 23.6 | |
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equipment | 23.5 | |
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receiver | 19.8 | |
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computer | 19.1 | |
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electronic equipment | 18 | |
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business | 17.6 | |
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technology | 16.3 | |
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set | 14.7 | |
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building | 13.7 | |
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old | 13.2 | |
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home | 12.8 | |
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hardware | 12.5 | |
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monitor | 12.2 | |
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room | 11.9 | |
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architecture | 11.7 | |
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house | 11.7 | |
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interior | 11.5 | |
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communication system | 11.2 | |
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modern | 11.2 | |
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finance | 11 | |
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currency | 10.8 | |
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digital | 10.5 | |
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television | 10.5 | |
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electronics | 10.4 | |
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money | 10.2 | |
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office | 10.1 | |
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3d | 10.1 | |
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cash | 10.1 | |
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vintage | 9.9 | |
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bank | 9.8 | |
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appliance | 9.8 | |
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apartment | 9.6 | |
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broadcasting | 9.5 | |
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window | 9.5 | |
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dollar | 9.3 | |
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city | 9.1 | |
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black | 9 | |
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design | 9 | |
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information | 8.8 | |
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control | 8.8 | |
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exchange | 8.6 | |
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industry | 8.5 | |
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card | 8.5 | |
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banking | 8.3 | |
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retro | 8.2 | |
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metal | 8 | |
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antique | 7.9 | |
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urban | 7.9 | |
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art | 7.8 | |
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glass | 7.8 | |
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film | 7.7 | |
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network | 7.7 | |
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bill | 7.6 | |
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screen | 7.6 | |
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keyboard | 7.5 | |
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wood | 7.5 | |
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close | 7.4 | |
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telecommunication | 7.3 | |
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data | 7.3 | |
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new | 7.3 | |
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camera | 7.2 | |
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server | 7.1 | |
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steel | 7.1 | |
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paper | 7.1 | |
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Google
created on 2022-12-07
Black | 89.6 | |
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Black-and-white | 84.5 | |
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Font | 83.9 | |
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Style | 83.8 | |
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Art | 78.2 | |
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Picture frame | 76.7 | |
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Monochrome photography | 75.4 | |
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Monochrome | 74.6 | |
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Audio equipment | 71.6 | |
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Machine | 66.6 | |
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Room | 65.8 | |
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Rectangle | 65.2 | |
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Visual arts | 63.6 | |
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Stock photography | 63.2 | |
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Illustration | 62.4 | |
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Building | 62.2 | |
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Office equipment | 59.7 | |
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Collection | 57.6 | |
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Electronic instrument | 55.8 | |
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Drawing | 53.9 | |
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Microsoft
created on 2022-12-07
text | 99.9 | |
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black and white | 71.8 | |
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cartoon | 58.9 | |
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several | 11.4 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 23-31 |
Gender | Male, 99.4% |
Happy | 99.4% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Calm | 0.3% |
Disgusted | 0.1% |
Confused | 0.1% |
Angry | 0% |

AWS Rekognition
Age | 35-43 |
Gender | Male, 99.5% |
Calm | 95.4% |
Surprised | 6.3% |
Fear | 6% |
Happy | 2.6% |
Sad | 2.2% |
Confused | 0.6% |
Angry | 0.4% |
Disgusted | 0.2% |

AWS Rekognition
Age | 52-60 |
Gender | Male, 96.4% |
Calm | 84.3% |
Surprised | 6.9% |
Confused | 6.4% |
Fear | 6.1% |
Angry | 4.2% |
Sad | 2.6% |
Disgusted | 1% |
Happy | 0.8% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 95.7% |
Happy | 95.7% |
Surprised | 6.5% |
Fear | 6% |
Calm | 2.4% |
Sad | 2.2% |
Angry | 0.4% |
Confused | 0.3% |
Disgusted | 0.3% |

AWS Rekognition
Age | 26-36 |
Gender | Female, 100% |
Disgusted | 48.7% |
Surprised | 19.6% |
Calm | 12% |
Sad | 8.4% |
Fear | 7% |
Confused | 4.8% |
Angry | 4.8% |
Happy | 1.8% |

AWS Rekognition
Age | 33-41 |
Gender | Male, 99.8% |
Happy | 76.8% |
Sad | 17.6% |
Surprised | 7% |
Fear | 6.3% |
Calm | 2.6% |
Angry | 1% |
Disgusted | 0.7% |
Confused | 0.6% |

AWS Rekognition
Age | 35-43 |
Gender | Male, 99.9% |
Happy | 97.9% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Calm | 1.6% |
Angry | 0.2% |
Disgusted | 0.1% |
Confused | 0% |

AWS Rekognition
Age | 28-38 |
Gender | Male, 99.9% |
Calm | 85.1% |
Surprised | 8.6% |
Fear | 6.2% |
Confused | 4.3% |
Sad | 3.5% |
Angry | 0.9% |
Disgusted | 0.7% |
Happy | 0.6% |

AWS Rekognition
Age | 25-35 |
Gender | Female, 76.9% |
Calm | 69.5% |
Happy | 27.7% |
Surprised | 6.4% |
Fear | 6.1% |
Sad | 2.5% |
Disgusted | 0.3% |
Angry | 0.2% |
Confused | 0.2% |

AWS Rekognition
Age | 29-39 |
Gender | Male, 97.2% |
Happy | 72.4% |
Calm | 23.8% |
Surprised | 6.4% |
Fear | 6% |
Sad | 2.6% |
Confused | 0.8% |
Angry | 0.5% |
Disgusted | 0.4% |

AWS Rekognition
Age | 23-33 |
Gender | Female, 99.9% |
Happy | 83.2% |
Fear | 12.4% |
Surprised | 6.5% |
Sad | 2.4% |
Calm | 1.9% |
Angry | 0.7% |
Disgusted | 0.5% |
Confused | 0.3% |

AWS Rekognition
Age | 50-58 |
Gender | Male, 100% |
Calm | 89.3% |
Surprised | 6.8% |
Fear | 6.5% |
Disgusted | 3.1% |
Happy | 2.6% |
Sad | 2.3% |
Confused | 1.1% |
Angry | 0.7% |

AWS Rekognition
Age | 41-49 |
Gender | Male, 97.6% |
Calm | 99.3% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Happy | 0.2% |
Angry | 0.1% |
Disgusted | 0.1% |
Confused | 0% |

AWS Rekognition
Age | 23-33 |
Gender | Female, 74.3% |
Angry | 52.9% |
Confused | 21.5% |
Fear | 9.5% |
Happy | 8.6% |
Surprised | 7.3% |
Sad | 3.4% |
Calm | 2.9% |
Disgusted | 1.1% |

AWS Rekognition
Age | 45-53 |
Gender | Male, 99.3% |
Happy | 96.1% |
Surprised | 6.7% |
Fear | 6% |
Sad | 2.3% |
Calm | 1.4% |
Disgusted | 0.5% |
Angry | 0.3% |
Confused | 0.2% |

AWS Rekognition
Age | 6-14 |
Gender | Female, 91.2% |
Sad | 99.9% |
Fear | 8.2% |
Calm | 8% |
Surprised | 6.8% |
Confused | 4.2% |
Happy | 4.2% |
Disgusted | 2.1% |
Angry | 2% |

AWS Rekognition
Age | 16-24 |
Gender | Female, 63% |
Calm | 81.6% |
Sad | 7% |
Surprised | 6.7% |
Fear | 6.2% |
Disgusted | 3.3% |
Angry | 3.1% |
Confused | 1% |
Happy | 0.5% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 99.9% |
Calm | 42.1% |
Angry | 13.9% |
Disgusted | 12.4% |
Surprised | 11.3% |
Sad | 9.4% |
Fear | 8.2% |
Confused | 5.9% |
Happy | 2.2% |

AWS Rekognition
Age | 29-39 |
Gender | Male, 95.8% |
Calm | 95.9% |
Surprised | 6.5% |
Fear | 6.1% |
Sad | 2.4% |
Angry | 0.9% |
Disgusted | 0.6% |
Confused | 0.3% |
Happy | 0.2% |

AWS Rekognition
Age | 23-33 |
Gender | Female, 66.3% |
Calm | 96.9% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.4% |
Happy | 1.6% |
Angry | 0.4% |
Disgusted | 0.1% |
Confused | 0.1% |

AWS Rekognition
Age | 27-37 |
Gender | Male, 100% |
Calm | 98.6% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.4% |
Happy | 0.2% |
Angry | 0.1% |
Disgusted | 0.1% |
Confused | 0% |

Microsoft Cognitive Services
Age | 40 |
Gender | Male |

Microsoft Cognitive Services
Age | 37 |
Gender | Female |

Microsoft Cognitive Services
Age | 48 |
Gender | Male |

Microsoft Cognitive Services
Age | 44 |
Gender | Male |

Microsoft Cognitive Services
Age | 32 |
Gender | Male |

Microsoft Cognitive Services
Age | 38 |
Gender | Male |

Microsoft Cognitive Services
Age | 37 |
Gender | Male |

Microsoft Cognitive Services
Age | 44 |
Gender | Male |

Microsoft Cognitive Services
Age | 46 |
Gender | Male |

Microsoft Cognitive Services
Age | 44 |
Gender | Male |

Microsoft Cognitive Services
Age | 33 |
Gender | Male |

Microsoft Cognitive Services
Age | 29 |
Gender | Male |

Microsoft Cognitive Services
Age | 33 |
Gender | Male |

Microsoft Cognitive Services
Age | 29 |
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 | 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 | 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 | Very likely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Likely |
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 |
Feature analysis
Amazon

Person | 97.9% | |
|

Person | 97.2% | |
|

Person | 97.2% | |
|

Person | 95.8% | |
|

Person | 95.6% | |
|

Person | 95.4% | |
|

Person | 95.4% | |
|

Person | 94.1% | |
|

Person | 92.7% | |
|

Person | 91% | |
|

Person | 88.4% | |
|

Person | 87.5% | |
|

Person | 85.6% | |
|

Person | 84.2% | |
|

Person | 83.7% | |
|

Person | 82.9% | |
|

Person | 82.1% | |
|

Person | 81.5% | |
|

Person | 81.3% | |
|

Person | 74% | |
|

Person | 69.7% | |
|

Person | 67.8% | |
|

Person | 61.3% | |
|

Person | 60.1% | |
|

Bride | 97.9% | |
|

Woman | 97.9% | |
|

Adult | 97.9% | |
|

Female | 97.9% | |
|

Shoe | 73.1% | |
|
Categories
Imagga
cars vehicles | 86.7% | |
| ||
paintings art | 5.9% | |
| ||
interior objects | 5.8% | |
|
Captions
Microsoft
created on 2022-12-07
calendar | 80% | |
|
Anthropic Claude
Created by claude-3-haiku-20240307 on 2025-01-01
The image appears to be a vintage jukebox or music player, surrounded by various framed photographs and album covers of famous musicians and performers. The jukebox itself has a large display and selection buttons, indicating it was likely used in a public space such as a diner or cafe. The black and white photograph gives the image an nostalgic, historical feel, capturing the atmosphere and culture of a bygone era.
Created by claude-3-opus-20240229 on 2025-01-01
The image shows an old jukebox surrounded by posters and photographs on the wall behind it. The posters and photos appear to be from the 1950s or 60s era, depicting various celebrities and music icons of that time period, though I won't name or identify the specific individuals shown. The jukebox itself has a metallic silver finish with some decorative embellishments. It has a large song selection panel displaying many records that could be played. Above the jukebox are framed photos and posters arranged in a collage on the textured wall. Overall, the scene has a nostalgic, retro aesthetic capturing the look and feel of a bygone era in pop culture and music. The black and white image adds to the vintage atmosphere.
Created by claude-3-5-sonnet-20241022 on 2025-01-01
This is a black and white photograph of what appears to be a vintage jukebox or music selection system, likely from the 1960s. The wall behind it is decorated with various framed photographs and album covers featuring country and rock musicians of that era. You can see ornate white frames on some of the photos, and there are several album covers visible including "The Country Boy" and what appears to be other country/rock albums. The jukebox itself has a selection panel with numbered buttons and a song list display. This looks like it could have been taken in a music venue, diner, or similar establishment where jukeboxes were common during that time period.
Text analysis
Amazon














































































































































