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README.md

@@ -1,13 +1,26 @@
-# Model Card: YOLOv8 ONNX
+---
+license: agpl-3.0
+pipeline_tag: object-detection
+tags:
+- ultralytics
+- tracking
+- instance-segmentation
+- image-classification
+- pose-estimation
+- obb
+- object-detection
+- yolo
+- yolov8
+- license_plate
+- Iran
+- veichle_lisence_plate
+- onnx
+---
+
 
 ## Model Overview
-This model is a YOLOv8 (You Only Look Once) object detection model, fine tuned on Iran veichle plate dataset and exported to the ONNX format for inference using ONNX Runtime. YOLOv8 is designed to efficiently detect objects in images by generating bounding boxes around objects of interest and predicting their associated class probabilities. 
+This model is an ONNX version of a [YOLOv8 medium fine tuned](https://huggingface.co/shalchianmh/Iran_license_plate_detection_YOLOv8m) on Iran veichle plate dataset. YOLOv8 is designed to efficiently detect objects in images by generating bounding boxes around objects of interest and predicting their associated class probabilities. 
 
-### Key Features:
-- **Architecture:** YOLOv8
-- **Format:** ONNX
-- **Supported Framework:** ONNX Runtime
-- **Primary Task:** Object Detection
 
 ## How to Use