BZK_LE
Abstract
This dataset supports the manuscript submitted for peer review. The data includes two different versions, balanced and imbalanced BZK-LE, including train, validation and test images sets associated with layout-based labels and file names saved in csv files.
Fields of Study & Subjects
Handwritten Text Recognition Techniques
Advanced Neural Network Applications
Image Retrieval and Classification Techniques
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 26 February 2026
- Language
- EN
- Document type
- Dataset