IN REPLAY - Data augmentation using Generative AI.

Start-up pitch COMPUTER VISION DATA MANAGEMENT DATA PREPARATION DEEP LEARNING

2023-02-09 | 10:00 AM - 10:30 AM | Start-up pitch Stage 1

Information

To achieve generalizable Deep Learning models, large amounts of data are needed. Sometimes, data may be scarce and expensive to collect. Standard augmentation techniques such as flipping, blurring or random rotation are routinely performed to help boosting model performance but these techniques have its own limitations and pitfalls.
In this session, we will explore how to augment training datasets using Stable Diffusion for a domain-specific use case.