Automatic-Identification-and-Counting-of-Blood-Cells

DDxT: Deep Generative Transformer Models for Differential Diagnosis

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.