For our experiment, we need the datasets for cars in good condition as well as in damaged condition. If you have a data source that adheres to the privacy policy, then this is a good place to start. Otherwise, we need to find a way to build our model on top of a dataset. There are multiple datasets that are publicly available. We need to start building our dataset if there is no existing reference of a similar data model because this could be a time-consuming task as well as an important step toward getting better results.

We are going to use a simple Python script to download images from Google. Just make sure that you filter images that can be reused. We don't encourage using pictures with non-reusable licenses.

With the Python script, we will pull out and save the images from Google, and then we will use a library to do the same task. This step is one of the most basic steps for building any ML model.

We will use a Python library called Beautiful Soup to scrap images from the internet.