Tasks related to computer vision don’t have an easy learning curve - there are many nuances, it’s in some cases subjective and the data is not always there and ready to be used.
In this talk, you will see an example of how to use your own domain-specific data to outperform pre-built market solutions. We will explore some approaches for generating ground truth data for a background removal task, and how to use it for fine-tuning open source models with limited computational power.