Update README.md

README.md

@@ -14,7 +14,23 @@ pipeline_tag: object-detection
 
 # YOLO11m Widget Detector
 
-YOLO11m Widget Detector is a 20.1 million parameter object detector trained on the dataset from the paper *CommonForms: A Large, Diverse Dataset for Form Field Detection*. The model detects widgets from among three classes: TextBoxes (`text_input`), ChoiceButtons (`choice_button` / checkboxes), and Signature fields (`signature`).
+YOLO11m Widget Detector is a lightweight, high-performance document widget detector designed for scanned forms and PDFs.
+
+The model detects three common form widget types:
+
+- text_input
+- choice_button
+- signature
+
+It is optimized for:
+
+- scanned forms
+- enterprise PDFs
+- OCR pipelines
+- intelligent document processing (IDP)
+- form digitization workflows
+
+The detector supports both CPU and GPU inference and can process PDFs or images directly.
 
 ## Results