| # Training Arguments for YOLOv10 License Plate Detection | |
| Below are the command-line arguments used to configure the training of a YOLOv10 model for license plate detection. | |
| | Argument | Type | Default Value | Description | | |
| |----------------|------------|--------------------------------------------|-----------------------------------------------------------------------------| | |
| | `--model` | `str` | `./ckpts/raw/yolo12n.pt` | Path to the model file or model name (e.g., "yolo12n.pt"). | | |
| | `--data` | `str` | `./datasets/yolo_standard_dataset/data.yaml`| Path to the dataset YAML file specifying the dataset configuration. | | |
| | `--epochs` | `int` | `100` | Number of training epochs. | | |
| | `--batch` | `int` | `64` | Batch size for training. | | |
| | `--resume` | `boolean` | `False` | Resume training from the last checkpoint if set. | | |
| | `--patience` | `int` | `20` | Number of epochs to wait for improvement before early stopping. | | |
| | `--lr0` | `float` | `0.01` | Initial learning rate for training. | | |
| | `--lrf` | `float` | `0.001` | Final learning rate for training. | | |
| | `--device` | `str` | `0` | Device to train on (e.g., `0` for GPU, `[0,1]` for multiple GPUs, or `cpu`). | | |
| | `--project` | `str` | `./ckpts/finetune/runs` | Directory to save training results. | | |
| | `--name` | `str` | `license_plate_detector` | Name of the training run. | | |
| | `--save` | `boolean` | `True` | Save training results if set. | |