Eric Chen's Blog Beagle Detector: Fine-tune Faster-RCNN
In this post, we'll see how to create a Beagle Detector using Faster-RCNN. Faster-RCNN is the state-of-the-art object detection model in terms of detection accuracy. 
In this post, we'll see how to create a Beagle Detector using Faster-RCNN. Faster-RCNN is the state-of-the-art object detection model in terms of detection accuracy.
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. 