license:apache-2.0 region:us
---
license: apache-2.0
---
# Annotation

The provided format is a generalized representation of metadata associated with image files. Each image entry includes details such as its height and width. Additionally, it contains annotations represented as a list ("ann"), where each annotation is described by a dictionary. Each annotation dictionary includes the class of the annotation ("cls"), the bounding box coordinates ("bbox") in the format [x_min, y_min, x_max, y_max], and the transcription associated with that annotation. This format allows for the annotation of various elements within images, making it suitable for tasks such as object detection, text recognition, or any other task where spatial and semantic information needs to be annotated.

# 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}
  }
