ashraja941 / Wbc-Classification-using-Yolov3

Classification of White blood cells into its 5 types using the pytorch implementation of yolov3

Wbc-Detection & Classification-using-Yolov3

• This project deals with the detection and classification of White Blood cells(WBCs) using deep learning object detection architecture called YOLOv3.
• The model performs the task by detecting WBCs from blood images using YOLOv3 and a pretrained Convolutional Neural Network(CNN) called Darknet53 as its feature extractor.
• The detection and classification of WBCs can aid in detection and diagnosis of Leukaemia
• The model is built using Pytorch API