Instructions to use RISEF/yolov11s-seatbelt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use RISEF/yolov11s-seatbelt with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("RISEF/yolov11s-seatbelt") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
| epoch,time,train/loss,metrics/accuracy_top1,metrics/accuracy_top5,val/loss,lr/pg0,lr/pg1,lr/pg2 | |
| 1,4.98739,0.7909,0.13178,1,1.27051,8.335e-05,8.335e-05,8.335e-05 | |
| 2,5.54301,0.33288,0.06977,1,2.41602,0.000178832,0.000178832,0.000178832 | |
| 3,6.0493,0.04655,0.27132,1,1.65332,0.000269362,0.000269362,0.000269362 | |
| 4,6.67842,0.00832,0.86047,1,0.34668,0.000354942,0.000354942,0.000354942 | |
| 5,7.27952,0.00368,0.95349,1,0.11609,0.00043557,0.00043557,0.00043557 | |
| 6,7.92667,0.0009,0.96899,1,0.07141,0.000511248,0.000511248,0.000511248 | |
| 7,8.54486,0.00338,0.99225,1,0.02251,0.000581975,0.000581975,0.000581975 | |
| 8,9.18429,0.01361,1,1,0.00711,0.00064775,0.00064775,0.00064775 | |
| 9,9.80638,0.00137,1,1,0.00191,0.000708575,0.000708575,0.000708575 | |
| 10,10.445,0.00581,0.99225,1,0.03735,0.000764449,0.000764449,0.000764449 | |
| 11,10.9747,0.00435,0.9845,1,0.03714,0.000815371,0.000815371,0.000815371 | |
| 12,11.5125,0.00965,0.68217,1,2.38672,0.000861343,0.000861343,0.000861343 | |
| 13,12.0492,0.00745,0.7907,1,1.8584,0.000902364,0.000902364,0.000902364 | |
| 14,12.5861,0.04592,0.9845,1,0.0372,0.000938433,0.000938433,0.000938433 | |
| 15,13.1246,0.02024,0.96899,1,0.1366,0.000969552,0.000969552,0.000969552 | |
| 16,13.6587,0.02461,1,1,0.00117,0.00099572,0.00099572,0.00099572 | |
| 17,14.2841,0.01377,0.99225,1,0.00763,0.00100687,0.00100687,0.00100687 | |
| 18,14.8021,0.00361,1,1,0.00017,0.00096561,0.00096561,0.00096561 | |