Popular GitHub Repositories for Blood Cell Detection

Machine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verification.

Blood Cell Detection with YOLOv10: This project utilizes YOLOv10, a cutting-edge object detection model, to accurately identify and count blood cells in images. Integrated with a Gradio web interface, the tool provides real-time image annotation and detailed cell count summaries, making it a powerful solution for automated blood cell analysis.

Project for the Applied Machine Learning (EI70360) class at TUM Summer Semester 2023.