Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 23-37 |
Gender | Male, 66.1% |
Calm | 0.7% |
Disgusted | 0.5% |
Angry | 16.8% |
Surprised | 1.7% |
Happy | 0.6% |
Fear | 76.7% |
Sad | 2.8% |
Confused | 0.1% |

AWS Rekognition
Age | 39-57 |
Gender | Male, 97.6% |
Happy | 0.2% |
Calm | 0.9% |
Sad | 27.8% |
Angry | 6.5% |
Disgusted | 1% |
Surprised | 0.2% |
Fear | 2% |
Confused | 61.4% |

AWS Rekognition
Age | 33-49 |
Gender | Male, 98.6% |
Fear | 2.7% |
Happy | 8.1% |
Surprised | 1.4% |
Disgusted | 2.4% |
Calm | 2.8% |
Sad | 28% |
Angry | 20.8% |
Confused | 33.8% |

AWS Rekognition
Age | 31-47 |
Gender | Male, 97.9% |
Calm | 0.3% |
Disgusted | 0.7% |
Fear | 2.3% |
Sad | 0.3% |
Angry | 47.9% |
Confused | 0.8% |
Surprised | 2.5% |
Happy | 45.2% |

AWS Rekognition
Age | 26-42 |
Gender | Male, 99.5% |
Happy | 28.8% |
Disgusted | 2.1% |
Angry | 27.3% |
Surprised | 1.1% |
Calm | 2.1% |
Confused | 1.4% |
Fear | 23.2% |
Sad | 14.1% |

AWS Rekognition
Age | 32-48 |
Gender | Male, 95.2% |
Calm | 0.1% |
Happy | 0% |
Confused | 0.5% |
Fear | 0.8% |
Disgusted | 1% |
Surprised | 0.1% |
Sad | 0.4% |
Angry | 97.1% |

AWS Rekognition
Age | 40-58 |
Gender | Male, 98.7% |
Fear | 19.5% |
Happy | 61.3% |
Calm | 4.8% |
Disgusted | 2.3% |
Angry | 2.2% |
Sad | 8.1% |
Surprised | 0.7% |
Confused | 1% |

AWS Rekognition
Age | 20-32 |
Gender | Female, 60.6% |
Angry | 65.3% |
Happy | 0.2% |
Fear | 12.7% |
Disgusted | 0.3% |
Surprised | 0.5% |
Calm | 1% |
Confused | 0.2% |
Sad | 19.8% |

AWS Rekognition
Age | 36-52 |
Gender | Male, 99.5% |
Fear | 5.1% |
Surprised | 1.2% |
Angry | 10.1% |
Happy | 4.3% |
Sad | 49.3% |
Calm | 9.6% |
Confused | 17.3% |
Disgusted | 3.1% |

AWS Rekognition
Age | 23-35 |
Gender | Male, 93.1% |
Angry | 0.2% |
Confused | 0.1% |
Happy | 97.6% |
Disgusted | 0.1% |
Sad | 0.3% |
Fear | 0.8% |
Surprised | 0.6% |
Calm | 0.2% |

AWS Rekognition
Age | 24-38 |
Gender | Male, 99.1% |
Fear | 1.9% |
Happy | 4% |
Disgusted | 1.4% |
Calm | 7.1% |
Sad | 26.5% |
Angry | 5.2% |
Surprised | 0.4% |
Confused | 53.6% |

AWS Rekognition
Age | 26-40 |
Gender | Male, 84.8% |
Calm | 0.2% |
Confused | 0.4% |
Surprised | 0.6% |
Happy | 0% |
Angry | 9.9% |
Disgusted | 1.2% |
Sad | 2.8% |
Fear | 84.8% |

AWS Rekognition
Age | 29-45 |
Gender | Female, 53% |
Confused | 1.2% |
Fear | 4.1% |
Angry | 83.8% |
Happy | 0.9% |
Sad | 6.2% |
Disgusted | 1.3% |
Calm | 0.8% |
Surprised | 1.6% |

AWS Rekognition
Age | 34-50 |
Gender | Male, 85.1% |
Sad | 34.7% |
Happy | 2.9% |
Disgusted | 0.3% |
Fear | 11% |
Angry | 6.1% |
Calm | 42.4% |
Surprised | 0.9% |
Confused | 1.7% |

AWS Rekognition
Age | 40-58 |
Gender | Male, 97.3% |
Happy | 25.5% |
Fear | 1.6% |
Sad | 13.1% |
Calm | 5.6% |
Angry | 26.5% |
Surprised | 1% |
Disgusted | 2.4% |
Confused | 24.3% |

AWS Rekognition
Age | 26-40 |
Gender | Male, 98.8% |
Angry | 0.8% |
Surprised | 0.1% |
Sad | 2.8% |
Happy | 95.6% |
Fear | 0.2% |
Confused | 0.1% |
Calm | 0.2% |
Disgusted | 0.1% |

AWS Rekognition
Age | 22-34 |
Gender | Male, 92.1% |
Calm | 22.8% |
Fear | 12.2% |
Disgusted | 1.1% |
Happy | 1.4% |
Angry | 7.8% |
Surprised | 1.2% |
Confused | 4.5% |
Sad | 49% |

AWS Rekognition
Age | 38-56 |
Gender | Male, 99% |
Happy | 25.7% |
Surprised | 0.6% |
Sad | 6.1% |
Calm | 0.4% |
Fear | 5.3% |
Angry | 57.3% |
Disgusted | 3.4% |
Confused | 1.2% |

AWS Rekognition
Age | 38-56 |
Gender | Male, 92% |
Angry | 96.4% |
Confused | 0.3% |
Happy | 0.1% |
Disgusted | 0.2% |
Sad | 2.1% |
Fear | 0.6% |
Surprised | 0.1% |
Calm | 0.3% |

AWS Rekognition
Age | 48-66 |
Gender | Male, 91.5% |
Sad | 3.8% |
Calm | 3.9% |
Surprised | 3.5% |
Happy | 71.5% |
Fear | 11% |
Disgusted | 2.9% |
Confused | 1.2% |
Angry | 2.1% |

AWS Rekognition
Age | 36-52 |
Gender | Male, 78.3% |
Happy | 38.4% |
Angry | 10.6% |
Sad | 4.9% |
Surprised | 7.2% |
Disgusted | 2.3% |
Calm | 29.9% |
Confused | 1.9% |
Fear | 4.8% |

AWS Rekognition
Age | 36-52 |
Gender | Male, 95.6% |
Confused | 1.5% |
Surprised | 2.5% |
Angry | 66.6% |
Sad | 4% |
Happy | 1.9% |
Fear | 3% |
Calm | 14.6% |
Disgusted | 5.8% |

AWS Rekognition
Age | 28-44 |
Gender | Male, 91.1% |
Sad | 16.5% |
Happy | 8.9% |
Disgusted | 2.3% |
Fear | 34.8% |
Confused | 3.7% |
Surprised | 6.4% |
Angry | 7.8% |
Calm | 19.6% |

AWS Rekognition
Age | 36-52 |
Gender | Male, 98.8% |
Fear | 1.2% |
Angry | 41.2% |
Disgusted | 2.6% |
Calm | 8.6% |
Happy | 40.6% |
Sad | 2.5% |
Surprised | 1.1% |
Confused | 2.1% |

AWS Rekognition
Age | 33-49 |
Gender | Male, 88.1% |
Confused | 0.9% |
Fear | 56.6% |
Sad | 31.3% |
Disgusted | 0.4% |
Calm | 1.3% |
Happy | 0.4% |
Angry | 7.8% |
Surprised | 1.3% |

AWS Rekognition
Age | 36-52 |
Gender | Female, 51.6% |
Confused | 2.9% |
Fear | 1.4% |
Surprised | 1.9% |
Calm | 0.4% |
Disgusted | 78.8% |
Angry | 12.7% |
Sad | 0.6% |
Happy | 1.4% |

AWS Rekognition
Age | 39-57 |
Gender | Male, 97.7% |
Happy | 16.3% |
Fear | 4.9% |
Angry | 2.5% |
Surprised | 0.4% |
Disgusted | 0.4% |
Sad | 39.5% |
Confused | 0.5% |
Calm | 35.6% |

AWS Rekognition
Age | 33-49 |
Gender | Male, 74% |
Sad | 32.5% |
Surprised | 17.5% |
Fear | 4.3% |
Calm | 36.1% |
Disgusted | 0.3% |
Confused | 2% |
Happy | 1.7% |
Angry | 5.6% |

AWS Rekognition
Age | 31-47 |
Gender | Female, 53.6% |
Happy | 20.3% |
Calm | 13.8% |
Sad | 47.9% |
Angry | 2.9% |
Surprised | 4.8% |
Fear | 3.4% |
Confused | 6.5% |
Disgusted | 0.5% |

AWS Rekognition
Age | 51-69 |
Gender | Male, 98.2% |
Calm | 20.6% |
Disgusted | 1.2% |
Sad | 40.9% |
Angry | 3.8% |
Confused | 4.7% |
Fear | 1.8% |
Happy | 25.7% |
Surprised | 1.4% |

AWS Rekognition
Age | 38-56 |
Gender | Female, 56.5% |
Surprised | 0.1% |
Calm | 0.1% |
Angry | 15.4% |
Disgusted | 0.1% |
Fear | 4.4% |
Happy | 0.2% |
Sad | 79.4% |
Confused | 0.2% |

AWS Rekognition
Age | 44-62 |
Gender | Male, 97.8% |
Confused | 0.4% |
Surprised | 0.1% |
Calm | 0.1% |
Sad | 94.4% |
Happy | 0.1% |
Disgusted | 0.9% |
Angry | 0.6% |
Fear | 3.5% |

AWS Rekognition
Age | 23-35 |
Gender | Male, 74.3% |
Confused | 0.4% |
Fear | 18.3% |
Surprised | 0.8% |
Calm | 63.1% |
Disgusted | 0.2% |
Angry | 2.7% |
Sad | 10.1% |
Happy | 4.4% |

AWS Rekognition
Age | 5-15 |
Gender | Male, 94.1% |
Happy | 11% |
Angry | 0.8% |
Disgusted | 1.1% |
Calm | 64.4% |
Sad | 7.2% |
Confused | 1.4% |
Fear | 4.2% |
Surprised | 10% |

AWS Rekognition
Age | 10-20 |
Gender | Male, 90.6% |
Confused | 0.9% |
Fear | 10.5% |
Disgusted | 0.5% |
Sad | 52.5% |
Calm | 33% |
Angry | 2.1% |
Surprised | 0.3% |
Happy | 0.3% |

AWS Rekognition
Age | 36-54 |
Gender | Male, 98.6% |
Angry | 6.2% |
Calm | 1.1% |
Disgusted | 17.7% |
Fear | 0.9% |
Happy | 71.9% |
Confused | 1% |
Surprised | 0.9% |
Sad | 0.2% |

AWS Rekognition
Age | 21-33 |
Gender | Female, 60.7% |
Happy | 2.8% |
Fear | 2.8% |
Sad | 1.6% |
Calm | 0.2% |
Angry | 0.3% |
Surprised | 1.2% |
Disgusted | 0.2% |
Confused | 90.9% |

AWS Rekognition
Age | 24-38 |
Gender | Male, 95.3% |
Happy | 0.1% |
Confused | 0.7% |
Disgusted | 0.3% |
Sad | 20.9% |
Angry | 6.8% |
Fear | 1% |
Calm | 70% |
Surprised | 0.2% |

AWS Rekognition
Age | 32-48 |
Gender | Male, 94.9% |
Disgusted | 1.2% |
Calm | 1.5% |
Angry | 27.3% |
Happy | 1% |
Fear | 5.1% |
Surprised | 0.8% |
Sad | 27.5% |
Confused | 35.6% |

AWS Rekognition
Age | 28-44 |
Gender | Male, 73.8% |
Happy | 0.1% |
Surprised | 0.2% |
Sad | 59.9% |
Calm | 0.2% |
Fear | 37.7% |
Angry | 0.5% |
Disgusted | 0.4% |
Confused | 1% |

AWS Rekognition
Age | 26-42 |
Gender | Male, 96.1% |
Surprised | 6.9% |
Disgusted | 2.2% |
Sad | 12.6% |
Fear | 13% |
Happy | 4.7% |
Calm | 35.8% |
Angry | 21.8% |
Confused | 3% |

AWS Rekognition
Age | 13-25 |
Gender | Female, 57.5% |
Disgusted | 2.5% |
Fear | 0.2% |
Sad | 0.5% |
Happy | 1.7% |
Angry | 0.9% |
Calm | 9.5% |
Confused | 5.6% |
Surprised | 79.2% |

Microsoft Cognitive Services
Age | 61 |
Gender | Male |

Microsoft Cognitive Services
Age | 66 |
Gender | Female |

Microsoft Cognitive Services
Age | 27 |
Gender | Male |

Microsoft Cognitive Services
Age | 47 |
Gender | Male |

Microsoft Cognitive Services
Age | 58 |
Gender | Male |

Microsoft Cognitive Services
Age | 23 |
Gender | Male |

Microsoft Cognitive Services
Age | 58 |
Gender | Male |

Microsoft Cognitive Services
Age | 58 |
Gender | Male |

Microsoft Cognitive Services
Age | 39 |
Gender | Male |

Microsoft Cognitive Services
Age | 58 |
Gender | Male |

Microsoft Cognitive Services
Age | 38 |
Gender | Male |

Microsoft Cognitive Services
Age | 49 |
Gender | Male |

Microsoft Cognitive Services
Age | 54 |
Gender | Male |

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 | Possible |
Headwear | Likely |
Blurred | Very unlikely |

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 | 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 | 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 likely |
Headwear | Very likely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
text visuals | 94.3% | |
paintings art | 4.9% | |
Captions
Microsoft
created on 2019-10-30
a black and white photo of a newspaper | 61.9% | |
a black and silver text on a newspaper | 61.1% | |
a close up of a newspaper | 61% | |
OpenAI GPT
Created by gpt-4o-2024-05-13 on 2025-01-30
The image consists of a grid with multiple sections labeled "FLUXPOST" followed by numbers. Each visible section contains a black and white photograph depicting various facial expressions, with some exhibiting exaggerated or comical features. Some images show hands or fingers manipulating the face to create different expressions, such as pulling the mouth wide open or distorting the cheeks. One of the sections features a skull. The images are arranged sequentially and appear to be part of an artistic or experimental series focusing on human expressions and anatomy.
Created by gpt-4 on 2025-01-30
The image is a collage of various individual black and white pictures, each depicting different expressions and manipulations of what appears to be a mouth and chin. Some images show exaggerated facial expressions like wide-open mouths, while others include additional elements like fingers pulling at the cheeks or lips. Each picture is labeled with the word "FLUXPOST" followed by a different number, indicating a sequential series. The overall effect is an array of diverse, expressive shots likely meant to emphasize the range of human expression or for an artistic or experimental purpose. Some areas of the image are intentionally obscured with gray blurring, focusing attention only on the parts of the image that are meant to be seen.
Anthropic Claude
Created by claude-3-5-sonnet-20241022 on 2025-01-30
This is a collection of black and white photographs arranged in a grid format, labeled as "FLUXPOST 1" through "FLUXPOST 42". The images appear to be an artistic series focusing on various expressions and close-up shots of mouths, teeth, and smiles. Each photo captures different emotional expressions - some showing laughter, others showing playful or exaggerated facial gestures. One image (FLUXPOST 13) shows a skull, providing an interesting contrast to the other expressive shots. The photographs have a raw, documentary-style quality and appear to be from an art project or exhibition. The consistent labeling and arrangement suggests this was a deliberate series meant to explore human expression and emotion through facial features.
Created by claude-3-opus-20240229 on 2025-01-30
The image shows a grid of 42 black-and-white close-up photographs of human faces, each labeled "FLUXPOST" followed by a number from 1 to 42. The photographs capture a wide range of intense facial expressions, with the subjects' mouths open in various positions as if yelling, screaming, grimacing or baring their teeth. The stark, high-contrast style gives the images an unsettling, almost grotesque quality that seems intended to provoke an emotional reaction in the viewer. Together, the grid forms a striking typology study of extreme human expressions and emotions.
Created by claude-3-haiku-20240307 on 2025-01-30
This image appears to be a collage or grid of various close-up photographs of human faces, primarily focused on the expressions and features of the mouths and teeth. The images depict a wide range of facial expressions, from angry and intense to silly and exaggerated. The faces come from diverse backgrounds and appear to be of different ages and ethnicities. The overall effect is quite striking and evocative, inviting the viewer to consider the emotions and experiences conveyed through these expressive facial features.
Amazon Nova
Created by amazon.nova-pro-v1:0 on 2025-01-30
The image is a grid of 42 black-and-white photographs of faces, each labeled with "FLUXPOST" followed by a number from 1 to 42. The faces are captured in various expressions, including smiles, laughs, and expressions of surprise or shock. The photographs are arranged in a structured grid format, with six rows and seven columns. Each face is cropped to focus on the mouth and eyes, emphasizing the expressions. The expressions vary widely, showcasing a range of human emotions and reactions. Some faces are captured with their mouths open, revealing teeth, while others have their mouths closed or partially open. The eyes in each photograph convey different levels of intensity and emotion, complementing the mouth expressions. The overall composition suggests a study or collection of human facial expressions, possibly for artistic, psychological, or sociological purposes.
Created by amazon.nova-lite-v1:0 on 2025-01-30
The image is a collage of 42 black-and-white photographs of people's faces, each labeled "FLUXPOST" followed by a number from 1 to 42. The photos depict a variety of facial expressions, including smiling, frowning, wincing, and making various mouth shapes. The expressions range from neutral to exaggerated, with some images showing close-ups of mouths and teeth, while others capture more of the face. The images are arranged in a grid-like pattern, with each photo occupying its own cell. The overall effect is that of a visual study of human facial expressions, possibly for artistic or scientific purposes.