Update OBB predict examples with boats.jpg (#17052)

Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Jan Knobloch <116908874+jk4e@users.noreply.github.com>
Co-authored-by: Ultralytics Assistant <135830346+UltralyticsAssistant@users.noreply.github.com>

docs/en/modes/predict.md

@@ -665,7 +665,7 @@ For more details see the [`Probs` class documentation](../reference/engine/resul
     model = YOLO("yolo11n-obb.pt")
 
     # Run inference on an image
-    results = model("bus.jpg")  # results list
+    results = model("boats.jpg")  # results list
 
     # View results
     for r in results:

docs/en/tasks/obb.md

@@ -141,14 +141,14 @@ Use a trained YOLO11n-obb model to run predictions on images.
         model = YOLO("path/to/best.pt")  # load a custom model
 
         # Predict with the model
-        results = model("https://ultralytics.com/images/bus.jpg")  # predict on an image
+        results = model("https://ultralytics.com/images/boats.jpg")  # predict on an image
         ```
 
     === "CLI"
 
         ```bash
-        yolo obb predict model=yolo11n-obb.pt source='https://ultralytics.com/images/bus.jpg'  # predict with official model
-        yolo obb predict model=path/to/best.pt source='https://ultralytics.com/images/bus.jpg'  # predict with custom model
+        yolo obb predict model=yolo11n-obb.pt source='https://ultralytics.com/images/boats.jpg'  # predict with official model
+        yolo obb predict model=path/to/best.pt source='https://ultralytics.com/images/boats.jpg'  # predict with custom model
         ```
 
 <p align="center">

examples/tutorial.ipynb

@@ -583,7 +583,7 @@
         "\n",
         "model = YOLO('yolo11n-obb.pt')  # load a pretrained YOLO OBB model\n",
         "model.train(data='dota8.yaml', epochs=3)  # train the model\n",
-        "model('https://ultralytics.com/images/bus.jpg')  # predict on an image"
+        "model('https://ultralytics.com/images/boats.jpg')  # predict on an image"
       ],
       "metadata": {
         "id": "IJNKClOOB5YS"

ultralytics/cfg/__init__.py

@@ -809,7 +809,9 @@ def entrypoint(debug=""):
 
     # Mode
     if mode in {"predict", "track"} and "source" not in overrides:
-        overrides["source"] = DEFAULT_CFG.source or ASSETS
+        overrides["source"] = (
+            "https://ultralytics.com/images/boats.jpg" if task == "obb" else DEFAULT_CFG.source or ASSETS
+        )
         LOGGER.warning(f"WARNING ⚠️ 'source' argument is missing. Using default 'source={overrides['source']}'.")
     elif mode in {"train", "val"}:
         if "data" not in overrides and "resume" not in overrides: