Machine Generated Data
Tags
Amazon
created on 2024-11-15
Art | 100 | |
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Collage | 100 | |
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Person | 96.7 | |
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Person | 95.9 | |
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Person | 95.5 | |
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Person | 93.3 | |
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Person | 93 | |
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Person | 92.6 | |
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Person | 92.5 | |
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Person | 92.1 | |
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Person | 92 | |
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Person | 91.8 | |
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Person | 91.7 | |
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Person | 91.2 | |
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Person | 90.8 | |
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Person | 90.7 | |
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Person | 90.4 | |
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Person | 90.3 | |
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Person | 90.2 | |
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Person | 88.4 | |
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Person | 87.5 | |
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Person | 87.2 | |
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Person | 86.4 | |
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Book | 86.2 | |
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Comics | 86.2 | |
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Publication | 86.2 | |
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Face | 85.6 | |
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Head | 85.6 | |
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Person | 84.5 | |
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Person | 83.2 | |
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Person | 78.8 | |
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Person | 78.7 | |
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Person | 78.4 | |
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Person | 78.1 | |
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Person | 77.6 | |
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Person | 76.8 | |
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Person | 76.8 | |
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Person | 76 | |
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Person | 75 | |
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Person | 74.4 | |
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Painting | 72.1 | |
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Person | 69.8 | |
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Person | 65 | |
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Person | 64.2 | |
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Person | 62.7 | |
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Person | 62.4 | |
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Person | 61.9 | |
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Person | 59.1 | |
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Clarifai
created on 2024-11-15
Imagga
created on 2024-11-15
furniture | 24.6 | |
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window | 22.3 | |
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art | 18.4 | |
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furnishing | 17.4 | |
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design | 15.4 | |
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glass | 14.9 | |
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old | 14.6 | |
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shop | 14.2 | |
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texture | 13.9 | |
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bookcase | 13.6 | |
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colorful | 13.6 | |
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pattern | 13 | |
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china cabinet | 12.8 | |
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religion | 12.5 | |
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slot machine | 12 | |
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church | 12 | |
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cathedral | 11.6 | |
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cabinet | 11.3 | |
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collection | 10.8 | |
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case | 10.8 | |
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retro | 10.6 | |
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stained | 10.6 | |
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device | 10.4 | |
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vending machine | 10.2 | |
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machine | 9.7 | |
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style | 9.6 | |
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architecture | 9.6 | |
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building | 9.5 | |
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shelf | 9 | |
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technology | 8.9 | |
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market | 8.9 | |
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store | 8.5 | |
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business | 8.5 | |
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mercantile establishment | 8.5 | |
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commercial | 8.4 | |
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modern | 8.4 | |
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vintage | 8.3 | |
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digital | 8.1 | |
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antique | 8 | |
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framework | 7.9 | |
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bright | 7.9 | |
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paper | 7.8 | |
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color | 7.8 | |
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collage | 7.7 | |
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food | 7.5 | |
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religious | 7.5 | |
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traditional | 7.5 | |
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graphic | 7.3 | |
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box | 7.3 | |
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history | 7.1 | |
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structure | 7.1 | |
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Google
created on 2024-11-15
Textile | 87.4 | |
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Rectangle | 86.5 | |
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Font | 84.2 | |
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Military camouflage | 81.5 | |
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Wall | 80.9 | |
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Art | 77.5 | |
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Pattern | 76.8 | |
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Room | 67.9 | |
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Military person | 66.4 | |
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Visual arts | 65 | |
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Collection | 62.5 | |
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Collage | 61 | |
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Wood | 59.7 | |
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Facade | 58.8 | |
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Painting | 58 | |
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Illustration | 57.3 | |
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Display case | 55.9 | |
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History | 55.2 | |
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Metal | 53.9 | |
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Fictional character | 53.4 | |
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Microsoft
created on 2024-11-15
collection | 91.3 | |
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art | 88.1 | |
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book | 84.6 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 21-27 |
Gender | Male, 99.9% |
Happy | 100% |
Calm | 0% |
Confused | 0% |
Angry | 0% |
Sad | 0% |
Surprised | 0% |
Disgusted | 0% |
Fear | 0% |

AWS Rekognition
Age | 20-26 |
Gender | Male, 99.9% |
Happy | 100% |
Calm | 0% |
Angry | 0% |
Confused | 0% |
Sad | 0% |
Surprised | 0% |
Disgusted | 0% |
Fear | 0% |

AWS Rekognition
Age | 22-28 |
Gender | Male, 99.6% |
Calm | 96.3% |
Sad | 1.7% |
Confused | 0.6% |
Happy | 0% |
Angry | 0% |
Disgusted | 0% |
Surprised | 0% |
Fear | 0% |

AWS Rekognition
Age | 24-30 |
Gender | Male, 99.7% |
Happy | 66.8% |
Calm | 4.7% |
Confused | 0.5% |
Sad | 0.5% |
Surprised | 0.2% |
Angry | 0% |
Disgusted | 0% |
Fear | 0% |

AWS Rekognition
Age | 19-25 |
Gender | Male, 99.6% |
Calm | 97.3% |
Sad | 0.6% |
Happy | 0.3% |
Confused | 0.1% |
Angry | 0.1% |
Disgusted | 0% |
Surprised | 0% |
Fear | 0% |

AWS Rekognition
Age | 19-25 |
Gender | Male, 91.4% |
Calm | 96.6% |
Sad | 2.1% |
Confused | 0.1% |
Disgusted | 0.1% |
Happy | 0% |
Angry | 0% |
Surprised | 0% |
Fear | 0% |

AWS Rekognition
Age | 24-30 |
Gender | Male, 85% |
Calm | 55.7% |
Sad | 23.6% |
Confused | 0.1% |
Angry | 0.1% |
Disgusted | 0.1% |
Happy | 0.1% |
Surprised | 0% |
Fear | 0% |

AWS Rekognition
Age | 19-25 |
Gender | Male, 100% |
Calm | 44.9% |
Happy | 12.6% |
Sad | 0.4% |
Confused | 0.2% |
Angry | 0% |
Disgusted | 0% |
Surprised | 0% |
Fear | 0% |

AWS Rekognition
Age | 20-26 |
Gender | Male, 94.4% |
Sad | 93.8% |
Calm | 19.8% |
Confused | 3.1% |
Angry | 0.4% |
Disgusted | 0.2% |
Happy | 0% |
Surprised | 0% |
Fear | 0% |

AWS Rekognition
Age | 21-27 |
Gender | Female, 84.5% |
Calm | 85% |
Angry | 3% |
Surprised | 2.9% |
Sad | 2.5% |
Disgusted | 1.5% |
Happy | 0.4% |
Confused | 0.4% |
Fear | 0.1% |

AWS Rekognition
Age | 21-27 |
Gender | Female, 97.2% |
Happy | 59.9% |
Fear | 2.4% |
Sad | 2% |
Calm | 0.7% |
Surprised | 0.4% |
Disgusted | 0.2% |
Confused | 0% |
Angry | 0% |

AWS Rekognition
Age | 6-12 |
Gender | Female, 97.4% |
Fear | 98.9% |
Surprised | 2.5% |
Confused | 0% |
Angry | 0% |
Calm | 0% |
Sad | 0% |
Disgusted | 0% |
Happy | 0% |

AWS Rekognition
Age | 25-33 |
Gender | Male, 96% |
Calm | 64.7% |
Angry | 15.6% |
Disgusted | 0.8% |
Confused | 0.6% |
Surprised | 0.5% |
Sad | 0.2% |
Happy | 0.1% |
Fear | 0% |

AWS Rekognition
Age | 22-28 |
Gender | Male, 93.1% |
Calm | 95.7% |
Sad | 2.7% |
Angry | 0.1% |
Confused | 0.1% |
Surprised | 0.1% |
Disgusted | 0.1% |
Happy | 0% |
Fear | 0% |

AWS Rekognition
Age | 20-26 |
Gender | Male, 99% |
Happy | 98.7% |
Surprised | 0.2% |
Sad | 0.1% |
Calm | 0% |
Confused | 0% |
Disgusted | 0% |
Fear | 0% |
Angry | 0% |

AWS Rekognition
Age | 27-35 |
Gender | Female, 95.7% |
Happy | 50.9% |
Calm | 10.6% |
Fear | 1.6% |
Surprised | 1.6% |
Sad | 1% |
Disgusted | 0.3% |
Angry | 0.3% |
Confused | 0.1% |

AWS Rekognition
Age | 8-14 |
Gender | Female, 56.6% |
Sad | 51.5% |
Calm | 32.5% |
Angry | 7.9% |
Confused | 4.8% |
Fear | 1.7% |
Disgusted | 1.6% |
Surprised | 0.2% |
Happy | 0% |

AWS Rekognition
Age | 21-27 |
Gender | Male, 81.1% |
Calm | 41.7% |
Fear | 38% |
Angry | 3.4% |
Sad | 2.6% |
Surprised | 1.4% |
Disgusted | 1% |
Happy | 0.5% |
Confused | 0.2% |

AWS Rekognition
Age | 21-27 |
Gender | Male, 99.8% |
Confused | 42.1% |
Calm | 29.8% |
Surprised | 11% |
Fear | 2.3% |
Disgusted | 1.7% |
Angry | 1% |
Sad | 0.7% |
Happy | 0% |

AWS Rekognition
Age | 18-22 |
Gender | Female, 62.1% |
Calm | 68.8% |
Sad | 8.2% |
Fear | 2.3% |
Disgusted | 1.1% |
Angry | 0.9% |
Surprised | 0.6% |
Confused | 0.4% |
Happy | 0.4% |

AWS Rekognition
Age | 23-29 |
Gender | Male, 97.4% |
Sad | 50.3% |
Calm | 46.6% |
Confused | 0.3% |
Disgusted | 0.2% |
Angry | 0.1% |
Surprised | 0.1% |
Fear | 0% |
Happy | 0% |

AWS Rekognition
Age | 24-30 |
Gender | Male, 99.9% |
Surprised | 28.1% |
Fear | 25.7% |
Confused | 14.5% |
Calm | 13.8% |
Angry | 12.5% |
Disgusted | 8.4% |
Sad | 0.2% |
Happy | 0.1% |

AWS Rekognition
Age | 24-32 |
Gender | Male, 99.9% |
Calm | 66.9% |
Sad | 7.7% |
Confused | 3.2% |
Angry | 3.1% |
Disgusted | 2.3% |
Surprised | 0.5% |
Fear | 0.1% |
Happy | 0.1% |

AWS Rekognition
Age | 27-35 |
Gender | Female, 51.2% |
Calm | 86.8% |
Sad | 6.1% |
Angry | 1.2% |
Disgusted | 0.9% |
Confused | 0.5% |
Surprised | 0.4% |
Fear | 0.2% |
Happy | 0% |

AWS Rekognition
Age | 24-30 |
Gender | Female, 59.7% |
Calm | 35% |
Happy | 9.5% |
Fear | 9.3% |
Surprised | 3.3% |
Angry | 2% |
Sad | 0.9% |
Disgusted | 0.5% |
Confused | 0.1% |

AWS Rekognition
Age | 24-30 |
Gender | Female, 56.1% |
Happy | 69.7% |
Fear | 1.4% |
Surprised | 0.7% |
Angry | 0.6% |
Calm | 0.5% |
Disgusted | 0.4% |
Sad | 0.4% |
Confused | 0.1% |

AWS Rekognition
Age | 21-27 |
Gender | Male, 99.5% |
Calm | 23.7% |
Angry | 18.9% |
Confused | 17.8% |
Disgusted | 14.7% |
Surprised | 9.9% |
Sad | 2.9% |
Fear | 1.9% |
Happy | 0% |

Microsoft Cognitive Services
Age | |
Gender |

Microsoft Cognitive Services
Age | |
Gender |

Microsoft Cognitive Services
Age | |
Gender |

Microsoft Cognitive Services
Age | |
Gender |

Microsoft Cognitive Services
Age | |
Gender |

Microsoft Cognitive Services
Age | |
Gender |

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

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

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

Person | 96.7% | |
|

Person | 95.9% | |
|

Person | 95.5% | |
|

Person | 93.3% | |
|

Person | 93% | |
|

Person | 92.6% | |
|

Person | 92.5% | |
|

Person | 92.1% | |
|

Person | 92% | |
|

Person | 91.8% | |
|

Person | 91.7% | |
|

Person | 91.2% | |
|

Person | 90.8% | |
|

Person | 90.7% | |
|

Person | 90.4% | |
|

Person | 90.3% | |
|

Person | 90.2% | |
|

Person | 88.4% | |
|

Person | 87.5% | |
|

Person | 87.2% | |
|

Person | 86.4% | |
|

Person | 84.5% | |
|

Person | 83.2% | |
|

Person | 78.8% | |
|

Person | 78.7% | |
|

Person | 78.4% | |
|

Person | 78.1% | |
|

Person | 77.6% | |
|

Person | 76.8% | |
|

Person | 76.8% | |
|

Person | 76% | |
|

Person | 75% | |
|

Person | 74.4% | |
|

Person | 69.8% | |
|

Person | 65% | |
|

Person | 64.2% | |
|

Person | 62.7% | |
|

Person | 62.4% | |
|

Person | 61.9% | |
|

Person | 59.1% | |
|
Categories
Imagga
interior objects | 87.1% | |
| ||
paintings art | 5.5% | |
| ||
streetview architecture | 4.7% | |
| ||
text visuals | 2.4% | |
|
Captions
Microsoft
created on 2024-11-15
a collage of pictures of a man and a woman | 40.1% | |
|
OpenAI GPT
Created by gpt-4 on 2024-11-15
This image shows a contact sheet containing black and white photographs. The images seem to capture various scenes and possibly tell a story or document an event. There are several frames that include outdoor settings, individuals in casual attire, and scenes that may depict daily life or a specific activity. Some of the photos show individuals in conversation or engaged in tasks, and others could be candid shots. A few of the frames have been marked with red X marks, which usually indicates that those particular shots were not selected for final use or did not meet the criteria set by the photographer or editor. The red markings are a common part of the photo selection process in traditional film photography. Overall, the contact sheet serves as an overview of the photographs taken during a single roll of film, enabling a photographer to review all the images at once and make decisions about which images to enlarge and print.
Created by gpt-4o-2024-05-13 on 2025-01-02
The image displays a contact sheet of black-and-white photographs. These images seem to capture various scenes of soldiers in a military setting. Some of the frames show soldiers interacting with each other or their environment, such as setting up makeshift tents, handling equipment, and resting. There are editing marks, including red circles and cross marks on certain frames, which suggest some selections and notations by the editor. Overall, the contact sheet provides a glimpse into moments of military life and action.
Anthropic Claude
Created by claude-3-5-sonnet-20241022 on 2024-12-28
This appears to be a contact sheet of black and white photographs, likely from a military or war-related photo shoot. The sheet contains multiple rows of images showing various scenes including soldiers in the field, individuals under makeshift tents or shelters, and what appears to be military personnel in different settings. Some of the photos have editing marks in red and orange, suggesting this was a working contact sheet used by a photo editor to select specific images. The photos appear to be from the same time period and share a documentary-style approach to capturing military life or operations. The images are numbered along the bottom of each frame, which is typical of contact sheets used in film photography.
Created by claude-3-haiku-20240307 on 2024-11-15
The image appears to be a series of black and white photographic negatives or contact sheets. The panels show various scenes, likely capturing moments from a war or military conflict. The images depict soldiers and their actions in a battlefield or camp setting. Some of the frames have been highlighted or circled, potentially indicating specific frames of interest. The overall presentation suggests this is a photographic record or documentation of events, rather than a single cohesive image.
Text analysis
Amazon







































































