The research community has laid disproportionate emphasis on sophisticating machine learning algorithms while largely ignoring the role of iterative data enhancement, and industry has followed suit. In this webinar, we will dive deep into data-centric approaches towards computer vision using a case study as an example. Furthermore, we will explore why models fail in production and how data-centric enhancement provides a graceful solution to these failures.
Message for attendees:
The presentation will be more of an intermediate level. It would be good to review some fundamental computer vision concepts before the webinar starts. You can take a look at this case study to help you prepare.