For this competition you are given images of people that were generated by Stable Diffusion using a variety of prompts where I specified the age of the person being generated. Your task is to determine the age that was specified in the prompt to create each person. The dataset consists of 512x512 sized images, such as these:

![Generated Person 1](https://data.heatonresearch.com/images/wustl/kaggle/2024-spring/1.jpg)
![Generated Person 2](https://data.heatonresearch.com/images/wustl/kaggle/2024-spring/6.jpg)
![Generated Person 3](https://data.heatonresearch.com/images/wustl/kaggle/2024-spring/7.jpg)

The image set comes from a diverse set of people. The ages are drawn from a normal distribution with mean and standard deviation matching the USA population as of 2024. 

![Generated Person 3](https://data.heatonresearch.com/images/wustl/kaggle/2024-spring/diverse.jpg)

Remember, you are trying to predict the age that was used in the prompt, which may not necessarily create a realistic human at that age. For example here are some ages for what the model generated.

### Age 20
![Generated Person Age 20](https://data.heatonresearch.com/images/wustl/kaggle/2024-spring/age-20.jpg)

### Age 30
![Generated Person Age 20](https://data.heatonresearch.com/images/wustl/kaggle/2024-spring/age-30.jpg)

### Age 40
![Generated Person Age 40](https://data.heatonresearch.com/images/wustl/kaggle/2024-spring/age-40.jpg)

### Age 50
![Generated Person Age 50](https://data.heatonresearch.com/images/wustl/kaggle/2024-spring/age-50.jpg)

### Age 60
![Generated Person Age 60](https://data.heatonresearch.com/images/wustl/kaggle/2024-spring/age-60.jpg)

### Age 70
![Generated Person Age 70](https://data.heatonresearch.com/images/wustl/kaggle/2024-spring/age-70.jpg)

### Age 80
![Generated Person Age 80](https://data.heatonresearch.com/images/wustl/kaggle/2024-spring/age-80.jpg)

### Age 90
![Generated Person Age 90](https://data.heatonresearch.com/images/wustl/kaggle/2024-spring/age-90.jpg)