| # Multi-model YOLO comparison training (optimized for RTX 4070 Laptop) | |
| epochs: 100 | |
| patience: 25 | |
| device: 0 | |
| workers: 0 | |
| cache: disk | |
| project: runs/comparison | |
| # Optimizer | |
| optimizer: AdamW | |
| cos_lr: true | |
| lr0: 0.01 | |
| lrf: 0.01 | |
| momentum: 0.937 | |
| weight_decay: 0.0005 | |
| warmup_epochs: 3.0 | |
| # Loss weights | |
| box: 7.5 | |
| cls: 0.5 | |
| dfl: 1.5 | |
| # Geometric augmentation | |
| mosaic: 1.0 | |
| mixup: 0.15 | |
| copy_paste: 0.1 | |
| scale: 0.5 | |
| perspective: 0.0005 | |
| degrees: 3.0 | |
| translate: 0.1 | |
| fliplr: 0.0 | |
| flipud: 0.0 | |
| close_mosaic: 10 | |
| # Visual augmentation | |
| hsv_h: 0.015 | |
| hsv_s: 0.7 | |
| hsv_v: 0.4 | |
| erasing: 0.4 | |
| # Per-model overrides — train smallest first (n → s → m → 11m → v8x → 11x) | |
| models: | |
| yolov8n: | |
| weights: yolov8n.pt | |
| batch: 8 | |
| imgsz: 1024 | |
| yolov8s: | |
| weights: yolov8s.pt | |
| batch: 8 | |
| imgsz: 1024 | |
| yolov8m: | |
| weights: yolov8m.pt | |
| batch: 6 | |
| imgsz: 1024 | |
| yolo11m: | |
| weights: yolo11m.pt | |
| batch: 6 | |
| imgsz: 1024 | |
| yolov8x: | |
| weights: yolov8x.pt | |
| batch: 2 | |
| imgsz: 1024 | |
| yolo11x: | |
| weights: yolo11x.pt | |
| batch: 2 | |
| imgsz: 1024 | |