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Blood Cell Object Detection using YOLO

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AASTHA

  • 15 Skills
  • In College

About This Project

Used BCCD Object Detection dataset for fine-tuning YOLO. The task was to detect blood components namely WBC, RBC, and Platelets. The mAP(mean average precision)@0.5 metric was 0.8 after 40 epochs.

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Tools & Technologies

Tags

  • Computer Vision
  • Object Detection
  • Python
  • Machine Learning
  • Deep Learning
  • AI for healthcare

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