From 315cc80be7ca88c104712dc0cb2f3720a04ea460 Mon Sep 17 00:00:00 2001
From: Karol Blaszczak <karol.blaszczak@intel.com>
Date: Wed, 10 Apr 2024 12:13:43 +0200
Subject: [PATCH] [DOCS] old fix for yolo article 22.3 (#23934)

---
 .../tf_specific/Convert_YOLO_From_Tensorflow.md          | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/docs/MO_DG/prepare_model/convert_model/tf_specific/Convert_YOLO_From_Tensorflow.md b/docs/MO_DG/prepare_model/convert_model/tf_specific/Convert_YOLO_From_Tensorflow.md
index 648c15df7fa..2d82b1c524d 100644
--- a/docs/MO_DG/prepare_model/convert_model/tf_specific/Convert_YOLO_From_Tensorflow.md
+++ b/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