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README.md

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+---
+language: en
+license: mit
+tags:
+  - dental
+  - medical
+  - object-detection
+  - yolov8
+  - cavity-detection
+  - xray
+datasets:
+  - custom-dental-opg
+metrics:
+  - mAP
+model-index:
+  - name: YOLOv8 Dental Cavity Detector
+    results:
+      - task:
+          type: object-detection
+        metrics:
+          - type: mAP
+            value: 0.0  # Update after training
+            name: mAP@0.5
+---
+
+# YOLOv8 Dental Cavity Detection Model
+
+Fine-tuned YOLOv8 for detecting dental cavities in OPG X-ray images.
+
+## Usage
+
+```python
+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