An experiment to train a model to detect Filipino grocery items using YOLO.
| Run | BoxP | R | mAP | Remarks |
|---|---|---|---|---|
| 1 | 0.910 | 0.800 | 0.879 | Default YOLO-V8 nano, 10 epochs |
| 2 | 0.946 | 0.901 | 0.922 | Run 1 + Default YOLO-V11 nano |
| 3 | 0.939 | 0.885 | 0.923 | Run 1 + mosaic=0.5, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.373, translate=0.45, scale=0.5, shear=0.3, flipud=0.01, fliplr=0.5 |
| 4 | 0.947 | 0.921 | 0.941 | Run3 with YOLO-V8 medium |
| 5 | 0.955 | 0.912 | 0.940 | Run3 with YOLO-V11 medium |
| 6 | 0.951 | 0.919 | 0.940 | Run3 with YOLO-V11 X |
| 7 | 0.951 | 0.918 | 0.938 | Run6 with CosLR 0.01 to 0.001 |
| 8 | 0.964 | 0.933 | 0.948 | Run6 with 20 epochs |
| 9 | 0.964 | 0.958 | 0.974 | Run6 with 30 epochs |
Training runs and weights can be found in this Google Drive (Request for access from owner).