In College
Blood Cell Object Detection using YOLO
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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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Tags
- Computer Vision
- Object Detection
- Python
- Machine Learning
- Deep Learning
- AI for healthcare