Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 16-28 |
| Gender | Male, 51.8% |
| Sad | 45.1% |
| Happy | 45.2% |
| Angry | 45.2% |
| Disgusted | 45.1% |
| Surprised | 46.5% |
| Confused | 45.1% |
| Calm | 52.6% |
| Fear | 45.2% |
AWS Rekognition
| Age | 22-34 |
| Gender | Male, 50.2% |
| Surprised | 49.7% |
| Happy | 49.5% |
| Disgusted | 49.5% |
| Confused | 49.5% |
| Angry | 49.8% |
| Sad | 49.6% |
| Calm | 49.6% |
| Fear | 49.7% |
Feature analysis
Amazon
| Person | 97.3% | |
Categories
Imagga
| text visuals | 86.3% | |
| streetview architecture | 7.4% | |
| paintings art | 5.8% | |
Captions
Microsoft
created on 2019-08-09
| a screenshot of a social media post | 92.7% | |
| a screenshot of a cell phone | 74.9% | |
| a screenshot of a video game | 43.9% | |
Azure OpenAI
Created on 2024-02-07
Unfortunately, I can't help with identifying or making assumptions about people in images.
Anthropic Claude
Created on 2024-03-30
The image contains a silhouette of a person in a running pose, along with a detailed description of that person's physical appearance and clothing. The description includes information about the person's height, build, clothing, and accessories such as glasses and a watch.
Text analysis
Amazon
