Hi,
I am new to object detection and want to train RetinaNet for my custom dataset having nearly 300 images only. I see that the model has 29M parameters and I know my dataset is very small for such large model.
This is why I want to use smaller versions of RetinaNet (as we have for YOLO).
Could anyone please tell me anything about small RetinaNet?
Thanks