Update README.md

README.md

@@ -8,7 +8,7 @@ From paper: "*MolParser: End-to-end Visual Recognition of Molecule Structures in
 
 We provide several [ultralytics YOLO11]((https://github.com/ultralytics/ultralytics)) weights for molecule detection with different size & input resolution.
 
-## general molecule structure detection models
+## General molecule structure detection models
 
 `moldet_yolo11[size]_640_general.pt`
 
@@ -16,7 +16,7 @@ YOLO11 weights trained on 35k human annotated image crops and 100k generated ima
 
 * 640x640 input resolution
 * support handwritten molecules
-* multiscale input (inputs can be single/multiple molecular cutouts, reaction or table cutouts, or single-page PDF images)
+* **multiscale input** (inputs can be single/multiple molecular cutouts, reaction or table cutouts, or single-page PDF images)
 
 <span style='color:gray'>Warning: For single-molecule input (used as a classification model), appropriate padding can be added to enhance the performance.</span>
 
@@ -42,7 +42,7 @@ model.predict("path/to/image.png", save=True, imgsz=640, conf=0.5)
 YOLO11 weights trained on 26k human annotated PDF pages (patents, papers, and books)
 
 * 960x960 input resolution
-* single page PDF image input
+* prefer **single page PDF image** input
 
 <span style='color:gray'>Warning: It is recommended to use MuPDF to render PDF pages at more than 144dpi.</span>