This time, we are using PyTorch to train a custom Mask-RCNN. And we are using a different dataset which has mask images (.png files) as . So, we can practice our skills in dealing with different data types. Without any futher ado, let's get into it.

In this post, We will see how to fune-tune Mask-RCNN on a custom dataset. I will cover the processing pipeline from how to prepare a custom dataset to model funtuning and evaluation. It will be very useful, so keep reading.

In this post, we will explore Mask-RCNN object detector with Pytorch. We will use the pretrained Mask-RCNN model with Resnet50 as the backbone.