| # YOLOv8 Fine-Tuning Configuration for E-Waste Cannibalization Index | |
| # Dataset Path Specification | |
| data: splits/data.yaml | |
| # Model & Training Strategy | |
| model: yolov8n.pt # Nano backbone optimized for edge deployment (<15MB TFLite) | |
| imgsz: 960 # High resolution to resolve micro desoldered pads | |
| epochs: 50 | |
| batch: 8 # Memory-safe batch size | |
| workers: 2 # CPU dataloader threads | |
| # Loss & Augmentation Parameters (Class Imbalance Fix) | |
| box: 7.5 # Box loss gain | |
| cls: 2.5 # Elevated class loss gain for rare component classes | |
| dfl: 1.5 # Distribution Focal Loss gain | |
| # Synthetic Data Augmentations | |
| copy_paste: 0.8 # Copy-paste rare desoldered pads onto clean boards | |
| mosaic: 1.0 # 4-image mosaic blending | |
| mixup: 0.15 # Mixup image blending | |
| hsv_h: 0.015 # Color hue jitter for flux/burn marks | |
| hsv_s: 0.7 # Color saturation jitter | |
| hsv_v: 0.4 # Brightness jitter | |
| degrees: 15.0 # Random rotation | |
| translate: 0.1 # Translation | |
| scale: 0.5 # Multi-scale zooming | |
| flipud: 0.5 # Vertical flip for 2-sided PCB inspection | |
| fliplr: 0.5 # Horizontal flip | |