/Yolo-V5_Object_Detection_Blood_Cell_Count_and_Detection

In this repo, I've trained an object detection model to find the number of RBC, WBC, PLATELETS Count from the microscopic blood-smeared images.

Primary LanguageJupyter NotebookMIT LicenseMIT

Yolo-v5 Object-Detection Blood Cell Count and Detection

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In this repo, I've trained an object detection model on a custom dataset to find the number of RBC, WBC, PLATELETS Count from the microscopic blood-smeared images. Original Dataset available at here.

Preprocessed dataset for Yolo-v5 available at here

Built using Yolo-v5 model open-sourced by ultralytics, more at here

I also wrote a medium post describing the whole process, If interested check it out - medium

Simply start the training and validation here Open In Colab and to begin inference Open In Colab

The Inference notebook is similar to move the model in production environment. You need to these files in your system path for proper imports, you can get them from here Yolo-v5

Excerpts :

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