# 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) [1]
Type: Public validation dataset
Purpose: Cross-domain evaluation and generalization testing
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.