I know I know, you must be asking, what is a PCB? Well, for someone who doesn't know what a PCB is, here's a definition from Wikipedia: PCBs have two complementary functions. The first is to affix electronic components in designated locations on the outer layers by means of soldering. The second is to provide reliable electrical connections (and also reliable open circuits) between the component's terminals in a controlled manner often referred to as PCB design. I bet you must have seen a PCB at least once in your life but probably weren't bothered to know what it was.

Object Detection is a Computer Vision task that aims to detect and classify individual objects in a scene or image. There are various model architectures for Object Detection, but the two most common are region proposal (e.g. The Lightning Flash team recently released a new exciting integration with the IceVision Object Detection library that enables dozens of new state-of-the-art backbones that can be fine-tuned and inference just a few lines of code. We participated in the Kaggle: COVID19 detection/classification challenge to showcase the new integration, which presents a realistic and challenging dataset of CT scans from over six thousand patients. The recent Kaggle: COVID19 detection/classification aims to facilitate medical screening and eventually assist medical experts/doctors with making diagnoses.

Recently, I was looking for a toy dataset for my new book's chapter (you can subscribe to the updates here) on instance segmentation. And, I really wanted to have something like the Iris Dataset for Instance Segmentation so that I would be able to explain the model without worrying about the dataset too much. But, alas, it is not always possible to get a dataset that you are looking for. I actually ended up looking through various sources on the internet but inadvertently found that I would need to download a huge amount of data to get anything done. Given that is not at all the right way to go about any tutorial, I thought why not create my own dataset.