About this document
Synthetic Data for Rare Object Detection by aravindansrinivasan is a document available to read on EtoBox.
The article discusses the importance of synthetic data generation (SDG) in addressing data scarcity for rare object classes in industrial inspection segmentation. It outlines various methodologies for SDG, including simulation-based modeling and generative AI models like GANs and Diffusion Models, which help create high-fidelity datasets with pixel-level annotations. The report also emphasizes strategies for bridging the synthetic-to-real domain gap and integrating synthetic data into practical workflows to
- Author
- aravindansrinivasan
- Language
- EN