Update README.md

README.md

@@ -26,7 +26,7 @@ You can load the model and perform detection on an image as follows:
 from ultralytics import YOLO
 
 # Load the model
-model = YOLO("./falldetect-11.pt")
+model = YOLO("./feryolo-11x-64.pt")
 
 # Perform detection on an image
 results = model("image.png")
@@ -41,10 +41,9 @@ The results object contains bounding boxes, labels (e.g., numbers or operators),
 Access them like this:
 
 ```python
-for result in results:
-    print(result.boxes)   # Bounding boxes
-    print(result.names)   # Detected classes
-    print(result.scores)  # Confidence scores
+# View results
+for r in results:
+    print(r.probs)  # print the Probs object containing the detected class probabilities
 ```
 
 ![](result.png)