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.
Cite Us
@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 } }