Update README.md

README.md

@@ -50,6 +50,7 @@ Videos 2 & 3:
 ### YOLOv11 Object Detection Model
 I chose to use YOLOv11 to create a custom object detection model. The model was trained to detect the presence of Southern Sea Otters in water and on land. I chose an object detection model because it would allow me to add additional features to my model through supplementary code snippets. The features would produce additional visualizations to better interpret movement patterns and behaviors from the dataset. I manipulated the code [found in our textbook](https://oceancv.org/) to better identify and correctly label the otters in lower resolution cam footage, as well as in both land and water. These are my model parameters. 
 ```python
+# Train the model
 results = model.train(
     data=dataset_config, 
     epochs=100,