OroSense — Lateralization Model (CoreML)
YOLO11n-pose model specialized for tongue lateralization detection (left and right). Trained on frontal oral-motor recordings from a clinical tongue ROM dataset.
Model Details
| Property |
Value |
| Architecture |
YOLO11n-pose |
| Input size |
1280 × 1280 |
| Keypoints |
4 |
| Format |
CoreML (.mlpackage) |
| Training tasks |
latR, latL |
| Epochs |
50 |
| Augmentation |
Heavy (rotation, scale, HSV, mosaic, mixup) |
Keypoints
| Index |
Name |
Description |
| 0 |
left_commissure |
Left corner of the mouth (MediaPipe LM 61) |
| 1 |
right_commissure |
Right corner of the mouth (MediaPipe LM 291) |
| 2 |
tongue_tip |
Annotated tongue tip position |
| 3 |
upper_lip |
Upper lip center / vermilion border (MediaPipe LM 0) |
Usage (Swift / iOS)
import CoreML
import Vision
let model = try best(configuration: MLModelConfiguration())
let request = VNCoreMLRequest(model: try VNCoreMLModel(for: model.model))
Training Metrics (best epoch)
| Metric |
Value |
| Box mAP50 |
0.915 |
| Box mAP50-95 |
0.595 |
| Pose mAP50 |
0.960 |
| Pose mAP50-95 |
0.927 |
Part of OroSense
This model is one of three task-specialized models:
