Thi-Thu-Huong/Coffee-Bean-Package-Images-OCR

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} }