diff --git a/docs/en/modes/predict.md b/docs/en/modes/predict.md
index 8abeacf5..1a33a3ab 100644
--- a/docs/en/modes/predict.md
+++ b/docs/en/modes/predict.md
@@ -404,7 +404,7 @@ Below are code examples for using each source type:
     model = YOLO("yolo11n.pt")
 
     # Run inference on 'bus.jpg' with arguments
-    model.predict("bus.jpg", save=True, imgsz=320, conf=0.5)
+    model.predict("https://ultralytics.com/images/bus.jpg", save=True, imgsz=320, conf=0.5)
     ```
 
 Inference arguments:
@@ -473,8 +473,10 @@ All Ultralytics `predict()` calls will return a list of `Results` objects:
     model = YOLO("yolo11n.pt")
 
     # Run inference on an image
-    results = model("bus.jpg")  # list of 1 Results object
-    results = model(["bus.jpg", "zidane.jpg"])  # list of 2 Results objects
+    results = model("https://ultralytics.com/images/bus.jpg")  # list of 1 Results object
+    results = model(
+        ["https://ultralytics.com/images/bus.jpg", "https://ultralytics.com/images/zidane.jpg"]
+    )  # list of 2 Results objects
     ```
 
 `Results` objects have the following attributes:
@@ -530,7 +532,7 @@ For more details see the [`Results` class documentation](../reference/engine/res
     model = YOLO("yolo11n.pt")
 
     # Run inference on an image
-    results = model("bus.jpg")  # results list
+    results = model("https://ultralytics.com/images/bus.jpg")  # results list
 
     # View results
     for r in results:
@@ -568,7 +570,7 @@ For more details see the [`Boxes` class documentation](../reference/engine/resul
     model = YOLO("yolo11n-seg.pt")
 
     # Run inference on an image
-    results = model("bus.jpg")  # results list
+    results = model("https://ultralytics.com/images/bus.jpg")  # results list
 
     # View results
     for r in results:
@@ -601,7 +603,7 @@ For more details see the [`Masks` class documentation](../reference/engine/resul
     model = YOLO("yolo11n-pose.pt")
 
     # Run inference on an image
-    results = model("bus.jpg")  # results list
+    results = model("https://ultralytics.com/images/bus.jpg")  # results list
 
     # View results
     for r in results:
@@ -635,7 +637,7 @@ For more details see the [`Keypoints` class documentation](../reference/engine/r
     model = YOLO("yolo11n-cls.pt")
 
     # Run inference on an image
-    results = model("bus.jpg")  # results list
+    results = model("https://ultralytics.com/images/bus.jpg")  # results list
 
     # View results
     for r in results:
@@ -670,7 +672,7 @@ For more details see the [`Probs` class documentation](../reference/engine/resul
     model = YOLO("yolo11n-obb.pt")
 
     # Run inference on an image
-    results = model("boats.jpg")  # results list
+    results = model("https://ultralytics.com/images/boats.jpg")  # results list
 
     # View results
     for r in results:
@@ -710,7 +712,7 @@ The `plot()` method in `Results` objects facilitates visualization of prediction
     model = YOLO("yolo11n.pt")
 
     # Run inference on 'bus.jpg'
-    results = model(["bus.jpg", "zidane.jpg"])  # results list
+    results = model(["https://ultralytics.com/images/bus.jpg", "https://ultralytics.com/images/zidane.jpg"])  # results list
 
     # Visualize the results
     for i, r in enumerate(results):