Paper - Exe - Dataset

This project proposes a generalized framework for detecting and understanding the expiration date of the products. The proposed framework can handle challenging expiration date cases and distinguish 13 different date formats. Moreover, it can detect and recognize expiration dates even when the input image contains multiple dates. It generates bounding boxes with predictions in the image.

We've released executable files of the proposed framework. Anyone who would like to test their images for recognition and understanding the expiration date can use our demo file.

In the lack of a publicly available dataset, we create a novel dataset, ExpDate, consisting of date images with challenging cases. It is now publicly available for further research.

Please check the project page for more details about executable files and the dataset.

If you find this dataset useful for your research, please cite:

@article{seker, 
    title={A Generalized Framework for Recognition of Expiration Dates on Product Packages Using Fully Convolutional Networks}, 
    author={Seker, Ahmet Cagatay and Ahn, Sang Chul}, 
    journal={Expert Systems with Applications}, 
    volume={203}, 
    number={117310}, 
    month={10}, 
    year={2022}, 
    doi={10.1016/j.eswa.2022.117310} 
}