We want to make sure you get the best possible results when training with PD data. For that, we are excited to share a set of best practices and tips to help you do so!
Through internal ML research and extensive use of our synthetic data in the market, we have established guidelines that typically yield the best performance for our customers’ perception models.
When applying these practices, we’ve seen significant improvements in different types of perception tasks. Examples:
There are three major factors that we take into account when deciding upon the optimal training strategy:
The following recommendations are a starting point for you to train your first baseline synthetic models. The process to achieve great performance with synthetic data is very iterative, and we look forward to working with you to achieve great results!