README.md

Varroa: three YOLOv8-P2 ASRM variants

Standalone package for training the three current ASRM architectures on the Varroa dataset. It is isolated from LEVIR-Ship and from the original Varroa project.

Cases:

• p2_asrm_fusion
• input_asrm_auxiliary
• input_asrm_guided_p2

The notebook follows Varroa/YOLO_custom/HF_YOLO_version_workflow.ipynb: gt_one, infected images only, class token 3 mapped to class 1, fixed conversion split seed 42, pretrained yolov8n.pt, image size 640, batch 16, 100 epochs, patience 20, workers 4 and training seeds 42/43.

The raw archive retains the original train/val/test layout. prepare_dataset.py deduplicates the positive CSV records and creates a reproducible 70/15/15 Ultralytics layout. All cases and training seeds use that same converted dataset.

Outputs:

• test_metrics.json per case/seed;
• comparison_varroa_asrm.csv with raw runs;
• comparison_varroa_asrm_aggregate.csv with mean/std over seeds.

Version 2 exposes an auxiliary attention map but has no auxiliary loss, so its detection path is intentionally equivalent to the P2 baseline during this experiment.