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
Evaluation results
- mAP@0.5self-reported0.000