Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-31 |
Gender | Male, 94.4% |
Sad | 86% |
Calm | 28.6% |
Confused | 9.6% |
Surprised | 8.9% |
Fear | 7.5% |
Angry | 7.2% |
Happy | 4.1% |
Disgusted | 2.8% |

AWS Rekognition
Age | 43-51 |
Gender | Female, 60.3% |
Surprised | 97% |
Happy | 11.1% |
Fear | 7.5% |
Calm | 7% |
Sad | 2.5% |
Confused | 2.2% |
Disgusted | 1.5% |
Angry | 1.3% |

AWS Rekognition
Age | 26-36 |
Gender | Female, 60.6% |
Calm | 98.1% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Confused | 0.9% |
Disgusted | 0.3% |
Happy | 0.1% |
Angry | 0.1% |

AWS Rekognition
Age | 18-26 |
Gender | Female, 99.3% |
Fear | 95.1% |
Calm | 7.8% |
Surprised | 6.3% |
Sad | 2.8% |
Happy | 2.2% |
Angry | 1% |
Disgusted | 0.7% |
Confused | 0.5% |

AWS Rekognition
Age | 22-30 |
Gender | Female, 96.5% |
Sad | 91.5% |
Calm | 26.6% |
Fear | 11.4% |
Confused | 8.2% |
Surprised | 7.6% |
Angry | 4.5% |
Happy | 2.6% |
Disgusted | 1.5% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 91.8% |
Fear | 84.1% |
Calm | 24.2% |
Surprised | 6.8% |
Sad | 3% |
Angry | 2% |
Confused | 1.7% |
Happy | 1.6% |
Disgusted | 1.1% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 99.5% |
Calm | 83.9% |
Fear | 8.8% |
Surprised | 7.3% |
Sad | 3% |
Angry | 2.5% |
Confused | 1.2% |
Happy | 0.8% |
Disgusted | 0.6% |

AWS Rekognition
Age | 20-28 |
Gender | Female, 81.7% |
Fear | 88.7% |
Calm | 9.7% |
Angry | 8.9% |
Surprised | 6.7% |
Confused | 3.5% |
Happy | 2.8% |
Sad | 2.6% |
Disgusted | 0.9% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 99.4% |
Calm | 94.1% |
Surprised | 6.3% |
Fear | 6% |
Sad | 3.8% |
Happy | 0.5% |
Angry | 0.4% |
Confused | 0.2% |
Disgusted | 0.2% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 95% |
Calm | 61.5% |
Sad | 42.4% |
Angry | 7.8% |
Fear | 7% |
Surprised | 6.7% |
Confused | 1.1% |
Disgusted | 0.8% |
Happy | 0.6% |

AWS Rekognition
Age | 28-38 |
Gender | Male, 99.9% |
Calm | 63.1% |
Fear | 19.3% |
Surprised | 7.4% |
Confused | 4.4% |
Angry | 4% |
Sad | 3.8% |
Disgusted | 1.5% |
Happy | 0.6% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 53.1% |
Fear | 98.1% |
Surprised | 6.3% |
Sad | 2.2% |
Calm | 0% |
Happy | 0% |
Angry | 0% |
Disgusted | 0% |
Confused | 0% |

AWS Rekognition
Age | 11-19 |
Gender | Female, 68.3% |
Calm | 95.2% |
Fear | 6.9% |
Surprised | 6.3% |
Sad | 2.4% |
Angry | 0.5% |
Disgusted | 0.3% |
Happy | 0.2% |
Confused | 0.2% |

AWS Rekognition
Age | 14-22 |
Gender | Male, 91.9% |
Angry | 99.1% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Calm | 0.4% |
Confused | 0.1% |
Happy | 0% |
Disgusted | 0% |

AWS Rekognition
Age | 18-26 |
Gender | Male, 93.7% |
Sad | 81.1% |
Calm | 32.2% |
Confused | 16.9% |
Fear | 7.4% |
Surprised | 7% |
Disgusted | 5.6% |
Angry | 1.8% |
Happy | 1.5% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 99.9% |
Calm | 99.9% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Confused | 0% |
Disgusted | 0% |
Angry | 0% |
Happy | 0% |

AWS Rekognition
Age | 16-22 |
Gender | Male, 99.9% |
Sad | 74.9% |
Calm | 56.1% |
Surprised | 6.6% |
Fear | 6.3% |
Angry | 4.8% |
Disgusted | 1.4% |
Confused | 1% |
Happy | 0.4% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 97.5% |
Calm | 90.2% |
Surprised | 6.6% |
Fear | 6% |
Sad | 4.2% |
Angry | 3% |
Disgusted | 0.4% |
Confused | 0.3% |
Happy | 0.2% |

AWS Rekognition
Age | 18-24 |
Gender | Male, 100% |
Calm | 97.2% |
Surprised | 6.3% |
Fear | 6% |
Sad | 2.7% |
Angry | 0.2% |
Confused | 0.2% |
Disgusted | 0.2% |
Happy | 0.1% |

AWS Rekognition
Age | 18-26 |
Gender | Male, 99.9% |
Calm | 71.1% |
Confused | 9.5% |
Surprised | 7.8% |
Fear | 7.3% |
Sad | 4.9% |
Angry | 3.5% |
Disgusted | 2% |
Happy | 1.6% |

AWS Rekognition
Age | 14-22 |
Gender | Male, 95.9% |
Calm | 43.5% |
Fear | 32.9% |
Surprised | 8.9% |
Angry | 6.9% |
Sad | 5.6% |
Disgusted | 3.9% |
Happy | 2% |
Confused | 1.6% |

AWS Rekognition
Age | 18-26 |
Gender | Male, 64% |
Fear | 89.9% |
Calm | 10% |
Surprised | 7.6% |
Angry | 7.4% |
Sad | 3.6% |
Happy | 1.1% |
Confused | 0.7% |
Disgusted | 0.6% |

AWS Rekognition
Age | 19-27 |
Gender | Male, 97.6% |
Calm | 92.6% |
Surprised | 6.4% |
Fear | 6.3% |
Sad | 3% |
Angry | 2.3% |
Confused | 0.8% |
Happy | 0.4% |
Disgusted | 0.3% |

AWS Rekognition
Age | 4-12 |
Gender | Female, 93.4% |
Calm | 79.7% |
Sad | 10.6% |
Fear | 7.8% |
Surprised | 6.4% |
Angry | 1.8% |
Disgusted | 0.7% |
Confused | 0.6% |
Happy | 0.4% |

AWS Rekognition
Age | 34-42 |
Gender | Male, 99.9% |
Calm | 96.5% |
Surprised | 6.4% |
Fear | 5.9% |
Sad | 2.6% |
Angry | 0.6% |
Confused | 0.6% |
Disgusted | 0.3% |
Happy | 0.2% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 98% |
Fear | 95.3% |
Calm | 8% |
Surprised | 6.6% |
Sad | 2.7% |
Happy | 1.4% |
Angry | 1.3% |
Disgusted | 0.6% |
Confused | 0.4% |

AWS Rekognition
Age | 16-24 |
Gender | Male, 99.9% |
Calm | 93% |
Surprised | 6.5% |
Fear | 6.1% |
Sad | 2.9% |
Confused | 2.3% |
Angry | 1% |
Disgusted | 0.5% |
Happy | 0.2% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 54.7% |
Sad | 99.5% |
Angry | 16.1% |
Fear | 9.4% |
Surprised | 6.9% |
Happy | 4.9% |
Disgusted | 3.1% |
Calm | 2% |
Confused | 1.8% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 81.6% |
Calm | 57.7% |
Angry | 24.2% |
Fear | 7.5% |
Surprised | 7% |
Sad | 4.6% |
Disgusted | 2.9% |
Confused | 2.8% |
Happy | 1.6% |

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

Helmet | 99.6% | |

Helmet | 99.4% | |

Helmet | 98.3% | |

Helmet | 96.3% | |

Helmet | 95.6% | |

Helmet | 92.8% | |

Helmet | 92.7% | |

Helmet | 90.2% | |

Helmet | 87.3% | |

Helmet | 85.5% | |

Helmet | 77.4% | |

Helmet | 76.3% | |

Helmet | 75.1% | |

Helmet | 73.1% | |

Helmet | 72.6% | |

Helmet | 70.7% | |

Helmet | 63.9% | |

Helmet | 63.6% | |

Helmet | 63.4% | |

Helmet | 62.8% | |

Helmet | 60.2% | |

Helmet | 60.1% | |

Helmet | 56.3% | |

Person | 97.4% | |

Person | 96.1% | |

Person | 84.1% | |

Person | 83% | |

Person | 82.8% | |

Person | 82.6% | |

Person | 79.4% | |

Person | 78.5% | |

Person | 73.9% | |

Person | 71.7% | |

Person | 71.6% | |

Person | 67.3% | |

Person | 67.3% | |

Person | 67.1% | |

Person | 66.8% | |

Person | 66.5% | |

Person | 63.9% | |

Person | 61.8% | |

Person | 60.2% | |

Person | 57.2% | |

Adult | 97.4% | |

Male | 97.4% | |

Man | 97.4% | |

Handbag | 88.7% | |

Horse | 63.7% | |
Categories
Imagga
cars vehicles | 99.3% | |
Captions
Microsoft
created on 2023-06-26
graphical user interface, website | 99.9% | |
Anthropic Claude
Created by claude-3-haiku-20240307 on 2025-01-01
The image depicts a large crowd of people, likely construction workers or emergency responders, gathered around a site at night. The area is illuminated by bright lights, and the ground is covered with debris and scattered objects. There appears to be some sort of structure or platform in the foreground, which is covered in writings, markings, and graffiti. The overall scene suggests an active and chaotic work or rescue operation taking place.
Created by claude-3-opus-20240229 on 2025-01-01
The image shows a large crowd gathered at night around what appears to be a long, graffiti-covered structure, likely a fallen section of the World Trade Center after the 9/11 attacks based on the "WTC 2002-05.28.11-38" label. People in hardhats and reflective vests, presumably rescue workers, can be seen walking on and around the debris. Bright floodlights illuminate the scene against the dark night sky.
Created by claude-3-5-sonnet-20241022 on 2025-01-01
This image appears to be from the World Trade Center site cleanup efforts in 2002, as indicated by the filename. The photo shows workers in safety vests and hard hats gathered around what appears to be a large steel beam or structure covered in memorial messages, photos, and tributes. The beam appears weathered and discolored, with various items attached to its surface. The scene is lit by overhead lights in what seems to be a nighttime or early morning setting. Construction or recovery workers in high-visibility gear can be seen throughout the scene, suggesting this was taken during the recovery and cleanup operations following the September 11 attacks.