How to Use Synthetic Data in 6 Easy Steps

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Follow our guide for synthetic data success

You’ve generated your first batch of synthetic data and built a baseline model. Now what?

Now it’s time to fine tune your data using the data-centric approach. But that’s not all, there is still lots of work to be done: testing, training, working out biases and edge cases and closing the domain gap.

We’ve gathered everything you need to know in our newest eBook to walk you through using synthetic data to train your models.

Download the ebook to:

  • Take an iterative approach to computer vision tasks

  • Mix real and synthetic data in training and test sets

  • Use test-driven training approaches

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