Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 35-52 |
| Gender | Female, 51.5% |
| Sad | 54.3% |
| Angry | 45.4% |
| Happy | 45% |
| Calm | 45.1% |
| Confused | 45.1% |
| Disgusted | 45.2% |
| Surprised | 45% |
AWS Rekognition
| Age | 48-68 |
| Gender | Male, 54% |
| Confused | 45.3% |
| Disgusted | 45.1% |
| Angry | 45.6% |
| Calm | 49.2% |
| Happy | 45.2% |
| Surprised | 45.2% |
| Sad | 49.4% |
AWS Rekognition
| Age | 35-52 |
| Gender | Female, 50% |
| Sad | 54% |
| Happy | 45% |
| Disgusted | 45.1% |
| Calm | 45.2% |
| Confused | 45.1% |
| Angry | 45.5% |
| Surprised | 45.1% |
AWS Rekognition
| Age | 48-68 |
| Gender | Female, 51.7% |
| Confused | 45.1% |
| Happy | 45.1% |
| Disgusted | 45.1% |
| Surprised | 45.1% |
| Angry | 45.7% |
| Sad | 48.8% |
| Calm | 50.2% |
AWS Rekognition
| Age | 45-65 |
| Gender | Male, 52.3% |
| Angry | 45.4% |
| Disgusted | 45% |
| Confused | 45% |
| Surprised | 45.1% |
| Calm | 52.4% |
| Sad | 47.1% |
| Happy | 45% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 51.1% |
| Angry | 45.3% |
| Sad | 53.9% |
| Happy | 45% |
| Surprised | 45.1% |
| Calm | 45.4% |
| Disgusted | 45.1% |
| Confused | 45.3% |
AWS Rekognition
| Age | 57-77 |
| Gender | Male, 54.2% |
| Surprised | 45.1% |
| Disgusted | 45% |
| Sad | 47.1% |
| Calm | 52.3% |
| Confused | 45.2% |
| Happy | 45.1% |
| Angry | 45.2% |
AWS Rekognition
| Age | 29-45 |
| Gender | Female, 50.5% |
| Happy | 45.1% |
| Surprised | 45.1% |
| Confused | 45.1% |
| Calm | 54.3% |
| Sad | 45.3% |
| Disgusted | 45% |
| Angry | 45.1% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| paintings art | 39% | |
| streetview architecture | 21.1% | |
| people portraits | 11.9% | |
| interior objects | 10.6% | |
| events parties | 10.2% | |
| pets animals | 2.6% | |
| beaches seaside | 1.8% | |
| text visuals | 1.6% | |
| food drinks | 1% | |
Captions
Microsoft
created on 2019-06-25
| a close up of text on a white surface | 32.1% | |
| a close up of text on a wall | 32% | |
| a close up of text on a white background | 31.9% | |
Azure OpenAI
Created on 2024-11-13
The image appears to be of a historical or vintage printed book, opened to a page with a colorful illustration on the left and a blank page on the right. The illustration depicts a group of individuals in various poses and wearing brightly colored attire suggestive of a historical or classical setting. The figures are arranged in an outdoor setting with architectural structures, including a building with arches and columns in the background. One of the individuals is seated on the ground, leaning back against a step and looking in the direction of the other figures. The sky can be seen in the distance, with clouds and sky taking on the illustrative style of the time period from which the book originates. There is text written in an elegant, possibly antiquated script, below the illustration, which may be a caption or description related to the image. The book has visible signs of wear and age, such as browning pages, which add to its antique appearance. The page number "101" is printed on the top right corner of the right page.
Anthropic Claude
Created on 2024-11-13
The image appears to depict a religious or biblical scene, with a group of people gathered in what seems to be an indoor, ornate architectural setting. There are multiple figures wearing colorful and elaborate robes, engaged in some kind of interaction or activity. The image also includes a smaller inset scene in the background, showing an outdoor landscape. The overall atmosphere suggests a historical or ancient context.
Text analysis
Amazon
