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dental-opg-cavity-detection-model
Sentoz/dental-opg-cavity-detection-model
dental-opg-cavity-detection-model is a object detection model from Sentoz. Use it when you need objects located in an image. The card lists the license as mit.
Fine-tuned YOLOv8 for detecting dental cavities in OPG X-ray images.
Access
Public
Updated Mar 7, 2026
Repo size
41 MB
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At a glance
- Task
- Object Detection
- License
- mit
- Access
- Public
- Created
- Mar 4, 2026
- Updated
- Mar 7, 2026
- SHA
- 69dc0249
Datasets
Model card
From the Hugging Face model README
YOLOv8 Dental Cavity Detection Model
Fine-tuned YOLOv8 for detecting dental cavities in OPG X-ray images.
Usage
from ultralytics import YOLO
model = YOLO("Sentoz/dental-opg-cavity-detection-model")
results = model("opg_xray.jpg", conf=0.25)
results[0].show()
Training Details
- Base model: YOLOv8n
- Dataset: Dental OPG X-ray images
- Task: Object detection (cavity localization)
- Input size: 640×640
- Task
- Object Detection
- License
- mit
- Languages
- en
- Created
- Mar 4, 2026
- Updated
- Mar 7, 2026