orosense_lat

LucasTakanori/orosense_lat

orosense_lat is a image-to-image model from LucasTakanori. Use it when you need one image transformed into another. The card lists the license as apache-2.0.

YOLO11n-pose model specialized for tongue lateralization detection (left and right). Trained on frontal oral-motor recordings from a clinical tongue ROM dataset.

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At a glance

Task: Image-to-Image
License: apache-2.0
Access: Public
Created: May 19, 2026
Updated: Jul 6, 2026
SHA: 1db89e25

Model card

From the Hugging Face model README

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))
// input: 1280×1280 RGB image

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:

orosense_lat — lateralization (this model)
orosense_elev — elevation
orosense_side — side-view protrusion

Task: Image-to-Image
License: apache-2.0
Created: May 19, 2026
Updated: Jul 6, 2026