Here you should add a description of your task. For example: Classification is the task of assigning one of a number of classes to each data point.
Note
Here you should add a short intro to your example, and then use literalinclude to add it. To make it simple, you can fill in this template.
Let's look at the task of <describe the task> using the <data set used in the example>. The dataset contains <describe the data>. Here's an outline:
<present the folder structure of the data or some data samples here>Once we've downloaded the data using ~flash.core.data.download_data, we create the <link to the DataModule with :class:>. We select a pre-trained backbone to use for our <link to the Task with :class:> and finetune on the <name of the data set> data. We then use the trained <link to the Task with :class:> for inference. Finally, we save the model. Here's the full example:
<include the example with literalinclude>
../../../flash_examples/template.py