Update README.md

README.md

@@ -17,12 +17,12 @@ This model allows extracting 11 entities, which are: Caption, Footnote, Formula,
 
 ## Performance
 
-In this section, we will evaluate the model's performance by separating semantic segmentation from object detection, with the understanding that no post-processing
-has been applied after estimation.
+In this section, we will assess the model's performance by separately considering semantic segmentation and object detection. In both cases, no post-processing was
+applied after estimation.
 
-**Semantic segmentation**
-
-**Object detection**
+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
+dataset of DocLayNet.
 
 ## Direct Use