Update README.md

README.md

@@ -1,5 +1,6 @@
 # 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.
+Also, we provide antonation datasets regrading in json files. 
 
 # Dataset Composition: 
 LRCB Dataset (Low-Resolution Coffee Bean)
@@ -23,6 +24,7 @@ Coverage: Diverse product categories beyond coffee packaging
 [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.
 
 # Cite Us 
+Dataset: 
 @misc{le_2025,
 	author       = { Le },
 	title        = { Coffee-Bean-Package-Images-OCR },
@@ -31,3 +33,16 @@ Coverage: Diverse product categories beyond coffee packaging
 	doi          = { 10.57967/hf/6500 },
 	publisher    = { Hugging Face }
 }
+
+Publish related: 
+@Article{s25206484,
+AUTHOR = {Le, Thi-Thu-Huong and Hwang, Yeonjeong and Kadiptya, Ahmada Yusril and Son, JunYoung and Kim, Howon},
+TITLE = {A Robust Framework for Coffee Bean Package Label Recognition: Integrating Image Enhancement with Vision–Language OCR Models},
+JOURNAL = {Sensors},
+VOLUME = {25},
+YEAR = {2025},
+NUMBER = {20},
+ARTICLE-NUMBER = {6484},
+URL = {https://www.mdpi.com/1424-8220/25/20/6484},
+ISSN = {1424-8220}
+}