# 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)
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.

# Cite Us 
Dataset: 
@misc{le_2025,
	author       = { Le },
	title        = { Coffee-Bean-Package-Images-OCR },
	year         = 2025,
	url          = { https://huggingface.co/datasets/Thi-Thu-Huong/Coffee-Bean-Package-Images-OCR },
	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}
}