docs: updated the readme

README.md

@@ -38,7 +38,7 @@ Ensure you have the following before you start:
 
 - **Xcode:** The Ultralytics YOLO iOS App requires Xcode installed on your macOS machine. Download it from the [Mac App Store](https://apps.apple.com/us/app/xcode/id497799835).
 
-- **An iOS Device:** For testing the app, you'll need an iPhone or iPad running [iOS 14.0](https://www.apple.com/ios/ios-18/) or later. Note: custom, fine-tuned models can only work on iPhone or iPad running **iOS 17.0** or later.
+- **An iOS Device:** For testing the app, you'll need an iPhone or iPad running [iOS 14.0](https://www.apple.com/ios/ios-18/) or later. Note: trained models can only work on iPhone or iPad running **iOS 17.0** or later.
 
 - **An Apple Developer Account:** A free Apple Developer account will suffice for device testing. Sign up [here](https://developer.apple.com/) if you haven't already.
 
@@ -62,19 +62,36 @@ Ensure you have the following before you start:
 
 3. **Add YOLO11 Models to the Project:**
 
-   Since the YOLO CoreML models are not versionned in this repository, you'll need to create them by exporting CoreML INT8 models using the `ultralytics` Python package (with `pip install ultralytics`), or download them from our [GitHub release assets](https://github.com/ultralytics/yolo-ios-app/releases). You should have 5 YOLO11 models in total. Place these in the `YOLO/Models` directory as seen in the Xcode screenshot below.
-
-   ```python
-   from ultralytics import YOLO
-
-   # Loop through all YOLO11 model sizes
-   for size in ("n", "s", "m", "l", "x"):
-       # Load a YOLO11 PyTorch model
-       model = YOLO(f"yolo11{size}.pt")
-
-       # Export the PyTorch model to CoreML INT8 format with NMS layers
-       model.export(format="coreml", int8=True, nms=True, imgsz=[640, 384])
-   ```
+   Since the YOLO CoreML models are not versionned in this repository, you'll need to either:
+
+   1. Create them by exporting your trained models to CoreML INT8 models using the `ultralytics` Python package (with `pip install ultralytics`).
+
+      ```python
+      from ultralytics import YOLO
+
+      # Load a trained YOLO11 PyTorch model
+      model = YOLO(f"path/to/your/trained/model.pt")
+
+      # Export the PyTorch model to CoreML INT8 format with NMS layers
+      # The imgsz property may be adjusted when you export a trained model
+      model.export(format="coreml", int8=True, nms=True, imgsz=640)
+      ```
+
+   2. Download the base models from our [GitHub release assets](https://github.com/ultralytics/yolo-ios-app/releases).
+
+      ```python
+      from ultralytics import YOLO
+
+      # Loop through all YOLO11 model sizes and exclude any trained models from the loop
+      for size in ("n", "s", "m", "l", "x"):
+         # Load a base YOLO11 PyTorch model
+         model = YOLO(f"yolo11{size}.pt")
+
+         # Export the PyTorch model to CoreML INT8 format with NMS layers
+         model.export(format="coreml", int8=True, nms=True)
+      ```
+
+   You should have 5 YOLO11 models in total. Place these in the `YOLO/Models` directory as seen in the Xcode screenshot below.
 
 4. **Run the Ultralytics YOLO iOS App:**