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README.md

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+# 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}
+  }