Hi everyone,
I’m working on a small object detection task and trying to get the best performance possible. I’ve seen some conflicting recommendations about whether to:
- Use tiling (preprocessing) only during training
- Use SAHI only during inference
- Or do both
Has anyone experimented with this? What’s the most best approach for small object detection?
Thanks!