Update README.md

README.md

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-Dataset Description: This dataset contains comprehensive coffee bean package images specifically designed for Optical Character Recognition (OCR) tasks. 
+# 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: 
+# 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)
+# 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)
+# POIE Dataset (Product OCR Image Evaluation) [1]
 Type: Public validation dataset
 Purpose: Cross-domain evaluation and generalization testing
-Coverage: Diverse product categories beyond coffee packaging
+Coverage: Diverse product categories beyond coffee packaging
+
+# References 
+[1] Kuang, J.; Hua, W.; Liang, D.; Yang, M.; Jiang, D.; Ren, B.; Bai, X. Visual information extraction in the wild: Practical dataset and end-to-end solution. In {\em International Conference on Document Analysis and Recognition}; Springer: 2023; pp 36--53.