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Parasite Egg Detection

YOLOv11m image detection for microscope smear images

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Parasite Egg Detection

PythonYOLOv11mPyTorch

The Problem

Manual identification of parasite eggs in microscope smear images is slow, requires expert pathologists, and is error-prone -- limiting access to parasitology screening in resource-constrained settings.

The Solution

Built a fine-tuned YOLOv11m detector with paper-inspired hyperparameters (640px imgsz, AdamW, lr0=0.001667) and aggressive augmentation (rotation, shear, flips, HSV) tuned for thick-smear specimens. Submitted to Super AI Engineer Season 6.

Tech Stack

PythonYOLOv11mPyTorchUltralyticsOpenCV

Key Features

Fine-tuned YOLOv11m detector
Paper-inspired training config
Augmentation tuned for thick-smear specimens
Submission pipeline with detect-then-crop workflow
Built for Super AI Engineer Season 6
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