Update README.md

README.md

@@ -16,7 +16,7 @@ This model allows extracting 11 entities, which are: Caption, Footnote, Formula,
 ## Performance
 
 In this section, we will assess the model's performance by separately considering semantic segmentation and object detection. We did not perform any post-processing
-for the semantic segmentation. As for object detection, we only applied OpenCV's findContours without any further post-processing.
+for the semantic segmentation. As for object detection, we only applied OpenCV's `findContours` without any further post-processing.
 
 For semantic segmentation, we will use the F1-score to evaluate the classification of each pixel. For object detection, we will assess performance based on the
 Generalized Intersection over Union (GIoU) and the accuracy of the predicted bounding box class. The evaluation is conducted on 500 pages from the PDF evaluation