Refine example usage

README.md

@@ -60,7 +60,7 @@ predictions = model.predict(image)
 
 # Count heads
 num_heads = model.count_heads(predictions)
-print(f"🌾 {num_heads} heads detected!")
+print(f"🌾 {num_heads} heads detected")
 
 # Create visualisation
 overlay = model.overlay_mask(image, predictions, alpha=0.5, heads_only=True)
@@ -76,5 +76,4 @@ Best performance is achieved with overhead imagery under diffuse lighting. Known
 
 ## Training Data
 
-This model was trained on [`GWFSS_v1.0_labelled`](https://huggingface.co/datasets/GlobalWheat/GWFSS_v1.0) from the 
-[Global Wheat Full Semantic Organ Segmentation](https://doi.org/10.1016/j.plaphe.2025.100084) dataset.
+This model was trained on [`GWFSS_v1.0_labelled`](https://huggingface.co/datasets/GlobalWheat/GWFSS_v1.0) from the [Global Wheat Full Semantic Organ Segmentation](https://doi.org/10.1016/j.plaphe.2025.100084) dataset.