prthm29/Gujarati-Handwritten-Dataset

Gujarati Handwritten Word Dataset

This dataset is a subset of the IIIT-INDIC-HW-WORDS collection, specifically focused on the Gujarati language. It is designed for training and evaluating Handwritten Text Recognition (HTR) models.

Dataset Summary

The original IIIT-INDIC-HW-WORDS is a large-scale benchmark for Indic scripts. This Gujarati subset contains word-level images manually written by multiple annotators to capture natural variations in handwriting styles.

Key Statistics

Dataset Structure & Extraction

The dataset consists of image folders and corresponding annotation text files. Follow these instructions to map images to their transcriptions:

1. Files Overview

• —Images: Located in the train/, val/, and test/ folders.
• —Labels: Provided in train.txt, val.txt, and test.txt.
• —Lexicon: vocab.txt contains the full list of Unicode strings used in the dataset.

2. Label Format

Each row in the label files (train.txt, val.txt, test.txt) follows this format: <FileName>, <VocabId>

3. Mapping Logic

The <VocabId> is a 0-indexed pointer to the line number in vocab.txt.

• —Step 1: Locate the VocabId for an image in the split text file.
• —Step 2: Go to that specific line number in vocab.txt to extract the Unicode Gujarati string.

Citation

If you use this dataset in your research, please cite the following paper:

@inproceedings{gongidi2021iiit,
  title={IIIT-Indic-HW-Words: A Dataset for Indic Handwritten Text Recognition},
  author={Gongidi, Santhoshini and Jawahar, CV},
  booktitle={Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR)},
  pages={444--459},
  year={2021},
  organization={Springer}
}