I am using Mask-RCNN model with ResNet50 backbone for nodule detection in ultrasound images. My dataset consists of 500 US images. Maximum object detection accuracy for training set is approximately 54% (using data augmentation and hyper-parameter tuning). The accuracy of object detection on my test set is even lower. Are there any suggestions for improving object detection accuracy?
Many thanks in advance,