diff --git a/docs/en/modes/predict.md b/docs/en/modes/predict.md
index a298294d59..4c69aa52d4 100644
--- a/docs/en/modes/predict.md
+++ b/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:
diff --git a/docs/en/tasks/obb.md b/docs/en/tasks/obb.md
index 35e659ed47..621ffc783d 100644
--- a/docs/en/tasks/obb.md
+++ b/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">
diff --git a/examples/tutorial.ipynb b/examples/tutorial.ipynb
index 98c659b864..75dd455e9a 100644
--- a/examples/tutorial.ipynb
+++ b/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"
diff --git a/ultralytics/cfg/__init__.py b/ultralytics/cfg/__init__.py
index 7c36a3b918..0af93a37d3 100644
--- a/ultralytics/cfg/__init__.py
+++ b/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: