Yolo-v5 Object Detection on a custom dataset.

Step by step instructions to train Yolo-v5 & do Inference(from ultralytics) to count the blood cells and localize them. I vividly remember that I tried to do an object detection model to count the RBC, WBC, and platelets on microscopic blood-smeared images using Yolo v3-v4, but I couldn't get as much as accuracy I wanted and the model never made it to production. Now recently I came across the release of the Yolo-v5 model from Ultralytics, which is built using PyTorch. I was a bit skeptical to start, owing to my previous failures, but after reading the manual in their Github repo, I was very confident this time and I wanted to give it a shot. And it worked like a charm, Yolo-v5 is easy to train and easy to do inference.