diff --git a/README.md b/README.md
index 34bd008a2869b3f9a5620ba8aa64b930da1f9a2d..b126c30943911a2da463013be322bb9b46f73ac7 100644
--- a/README.md
+++ b/README.md
@@ -53,7 +53,7 @@ In order to run a whole pipeline run the following command: `./run_all.sh folder
 
 It may take <ins> very long time </ins> depending on your machine and the number of files and if you change the parameter if points density (by default its 150) to some lower number. The lower the number the bigger pointclounds are to be precessed and more time it may take. Keep in mind that at some point (for too low of the number) the pipeline may break. 
 
-The default model which is available in the repo in `fsct\model\model.path` was trained on the nibio data with <ins> 10 cm sampling </ins> the val accuracy was approx. 0.92.
+The default model which is available in the repo in `fsct\model\model.path` was trained on the nibio data with <ins> 1 cm sampling (0.01m) </ins> the val accuracy was approx. 0.92.
 
 Make sure that you put the data in `*.las` format to this folder. If your files are in a different format e.g. `*.laz` you can use `python nibio_preprocessing/convert_files_in_folder.py --input_folder input_folder_name --output_folder output_folder las ` to convert your file to `*.las` format.