[DOCS] old fix for yolo article 22.3 (#23934)

docs/MO_DG/prepare_model/convert_model/tf_specific/Convert_YOLO_From_Tensorflow.md

@@ -39,13 +39,20 @@ This section explains how to convert the YOLOv4 Keras model from the [repository
   python keras-YOLOv3-model-set/tools/model_converter/convert.py <path_to_cfg_file>/yolov4-tiny.cfg <path_to_weights>/yolov4-tiny.weights <saved_model_dir>
   ```
 
-4. Run Model Optimizer to converter the model from the TensorFlow 2 format to an IR:
+4. Run Model Optimizer to convert the model from the TensorFlow 2 format to an IR:
 
 > **NOTE**: Before you run the conversion, make sure you have installed all the Model Optimizer dependencies for TensorFlow 2.
 > ```sh
 > mo --saved_model_dir yolov4 --output_dir models/IRs --input_shape [1,608,608,3] --model_name yolov4
 > ```
 
+If you get errors, you may need to add the additional step to divide the input by 255:
+```sh
+--scale_values=image_input[255]
+```
+
+
+
 ## <a name="yolov3-to-ir"></a>Converting YOLOv3 Model to the OpenVINO format
 
 There are several public versions of TensorFlow YOLOv3 model implementation available on GitHub. This section explains how to convert YOLOv3 model from