Annotation

Each date in the Products-Real and Products-Synth datasets is annotated with class, bounding box coordinates, date transcription, image width, and height. There are four classes defined: date, due, prod, and code in the training sets. Expiration dates in the test set of Product-Real are specifically labeled as "exp" class for easy evaluation, unlike the training set of Product-Real. Each component in the Date-Real and Date-Synth datasets is annotated with class, bounding box, and transcription. The day, month, and year are used as the classes for each component of the dates. Moreover, Components-Real and Components-Synth datasets consist of the components of the day, month, and year and their transcriptions.

Citation

Dataset published originally in A Generalized Framework for Recognition of Expiration Date on Product Packages Using Fully Convolutional Networks @article{seker2022generalized, 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}, pages={117310}, year={2022}, publisher={Elsevier} }