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docs/en/integrations/imx500.md

@@ -15,10 +15,10 @@ It allows you to optimize your [Ultralytics YOLOv8](https://github.com/ultralyti
 
 ## Why Should You Export to IMX500
 
-Sony’s [IMX500 Intelligent Vision Sensor](https://developer.aitrios.sony-semicon.com/en/raspberrypi-ai-camera) is a game-changing piece of hardware in edge AI processing. It’s the world’s first intelligent vision sensor with on-chip AI capabilities. This sensor helps overcome many challenges in edge AI, including data processing bottlenecks, privacy concerns, and performance limitations.  
+Sony's [IMX500 Intelligent Vision Sensor](https://developer.aitrios.sony-semicon.com/en/raspberrypi-ai-camera) is a game-changing piece of hardware in edge AI processing. It's the world's first intelligent vision sensor with on-chip AI capabilities. This sensor helps overcome many challenges in edge AI, including data processing bottlenecks, privacy concerns, and performance limitations.  
 While other sensors merely pass along images and frames, the IMX500 tells a whole story. It processes data directly on the sensor, allowing devices to generate insights in real-time.
 
-## Sony’s IMX500 Export for YOLOv8 Models
+## Sony's IMX500 Export for YOLOv8 Models
 
 The IMX500 is designed to transform how devices handle data directly on the sensor, without needing to send it off to the cloud for processing.
 
@@ -32,7 +32,7 @@ The IMX500 works with quantized models. Quantization makes models smaller and fa
 
 **Before You Begin:** For best results, ensure your YOLOv8 model is well-prepared for export by following our [Model Training Guide](https://docs.ultralytics.com/modes/train/), [Data Preparation Guide](https://docs.ultralytics.com/datasets/), and [Hyperparameter Tuning Guide](https://docs.ultralytics.com/guides/hyperparameter-tuning/).
 
-## What’s under the hood?
+## What's under the hood?
 
 <p align="center">
   <img width="640" src="https://github.com/ultralytics/assets/releases/download/v8.3.0/imx500-deploy.avif" alt="IMX500 deployment">
@@ -44,7 +44,7 @@ The IMX500 works with quantized models. Quantization makes models smaller and fa
 
 ### IMX500 Converter Tool (compiler)
 
-The IMX500 Converter Tool is integral to the IMX500 toolset, allowing the compilation of models for deployment on Sony’s IMX500 sensor (for instance, Raspberry Pi AI Cameras). This tool facilitates the transition of Ultralytics YOLOv8 models processed through Ultralytics software, ensuring they are compatible and perform efficiently on the specified hardware. The export procedure following model quantization involves the generation of binary files that encapsulate essential data and device-specific configurations, streamlining the deployment process on the Raspberry Pi AI Camera.
+The IMX500 Converter Tool is integral to the IMX500 toolset, allowing the compilation of models for deployment on Sony's IMX500 sensor (for instance, Raspberry Pi AI Cameras). This tool facilitates the transition of Ultralytics YOLOv8 models processed through Ultralytics software, ensuring they are compatible and perform efficiently on the specified hardware. The export procedure following model quantization involves the generation of binary files that encapsulate essential data and device-specific configurations, streamlining the deployment process on the Raspberry Pi AI Camera.
 
 ### Usage Examples
 
@@ -53,6 +53,7 @@ Export an Ultralytics YOLOv8 model to IMX500 format.
 !!! example
 
     === "Python"
+
         ```python
         from ultralytics import YOLO
 
@@ -64,6 +65,7 @@ Export an Ultralytics YOLOv8 model to IMX500 format.
         ```
 
     === "CLI"
+
        ```bash
        # Export the model to imx500 format with Post-Training Quantization (PTQ)
        yolo export model=yolov8n.pt format=imx500