Update README.md

README.md

@@ -1,22 +1,20 @@
-Dataset Description
-This dataset contains comprehensive coffee bean package images specifically designed for Optical Character Recognition (OCR) tasks. The collection includes three distinct datasets: LRCB (Low-Resolution Coffee Bean), HRCB (High-Resolution Coffee Bean), and POIE (Product OCR Image Evaluation), providing researchers and practitioners with diverse image qualities and real-world scenarios for developing and evaluating OCR systems.
-Dataset Composition
-LRCB Dataset (Low-Resolution Coffee Bean)
+Dataset Description: This dataset contains comprehensive coffee bean package images specifically designed for Optical Character Recognition (OCR) tasks. 
+The collection includes three distinct datasets: LRCB (Low-Resolution Coffee Bean), HRCB (High-Resolution Coffee Bean), and POIE (Product OCR Image Evaluation), providing researchers and practitioners with diverse image qualities and real-world scenarios for developing and evaluating OCR systems.
 
+Dataset Composition: 
+LRCB Dataset (Low-Resolution Coffee Bean)
 Images: 656 images
 Resolution Range: 480×640 to 800×600 pixels
 Source: Smartphone camera captures under various environmental conditions
 Purpose: Simulates typical consumer applications, mobile scanning scenarios, and low-end imaging devices
 
 HRCB Dataset (High-Resolution Coffee Bean)
-
 Images: 503 high-quality images
 Resolution Range: 1920×1080 to 4000×3000 pixels
 Source: Professional cameras and high-end mobile devices
 Purpose: Represents scenarios with high-quality imaging equipment, professional product photography, and premium mobile captures
 
 POIE Dataset (Product OCR Image Evaluation)
-
 Type: Public validation dataset
 Purpose: Cross-domain evaluation and generalization testing
 Coverage: Diverse product categories beyond coffee packaging