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--- |
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license: mit |
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task_categories: |
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- image-classification |
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- image-to-text |
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- image-feature-extraction |
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tags: |
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- handwriting-recognition |
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- OCR |
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- Marathi |
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- image-processing |
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- deep-learning |
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- computer-vision |
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pretty_name: Marathi Handwritten OCR |
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size_categories: |
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- 1K<n<10K |
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language: |
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- mr |
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--- |
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# Dataset Card for Marathi Handwritten OCR Dataset |
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### Dataset Description |
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- **Repository:** processvenue/Marathi_Handwritten |
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- **Total Examples:** 2520 |
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- **Splits:** |
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- train: 2016 examples |
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- validation: 504 examples |
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- **Features:** image, id, filename, label, type |
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- **Size:** 2520 images |
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- **Language:** mr |
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- **License:** mit |
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### Dataset Summary |
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The Marathi Handwritten Text Dataset is a collection of handwritten text images in Marathi (देवनागरी लिपी), |
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aimed at supporting the development of Optical Character Recognition (OCR) systems, handwriting analysis tools, |
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and language research.The dataset was curated from native Marathi speakers to ensure a variety of handwriting styles and character variations. |
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The dataset contains 2520 images with two categories: |
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- बाराखडी (Barakhadi/syllables): 560 characters |
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- शब्द (Words): 1949 words |
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- Image Format: PNG |
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- Label Format: Text file |
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- Image Dimensions: 115x57 OR 114x58 pixels |
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- Storage Format: Parquet (Hugging Face) |
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Language Statistics: |
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- Marathi is the third most spoken language in India |
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- Approximately 83 million speakers (7% of India's population) |
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- Official language of Maharashtra |
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- One of the 22 scheduled languages of India |
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Applications |
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1. OCR Development |
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- Handwriting recognition systems |
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- Document digitization |
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- Text extraction tools |
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2. Educational Tools |
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- Language learning applications |
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- Writing practice systems |
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- Digital literacy programs |
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3. Research Applications |
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- Script analysis |
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- Language processing |
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- Pattern recognition studies |
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### Data Fields |
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- `image`: Image feature (PIL Image) |
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- `id`: Feature field |
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- `filename`: Feature field |
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- `label`: Feature field |
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- `type`: Feature field |
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### Dataset Creation |
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The dataset was created through careful curation of handwritten samples from native Marathi speakers. |
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The dataset includes both character-level (syllables) and word-level annotations. |
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Contributors were provided with pre-written text designed to capture: |
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- Common character variations |
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- Diverse writing styles |
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- Standard word formations |
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- Typical punctuation usage |
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The images were carefully processed and stored in PNG format, while metadata and labels were structured |
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in a Parquet file format. |
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### Usage Example |
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```python |
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from datasets import load_dataset |
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import matplotlib.pyplot as plt |
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# Load the dataset |
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dataset = load_dataset("processvenue/Marathi_Handwritten") |
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# Get an example from train split |
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example = dataset['train'][0] |
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# Display the image |
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plt.figure(figsize=(5, 5)) |
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plt.imshow(example['image']) |
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plt.title(f"Sample Image") |
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plt.axis('off') |
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plt.show() |
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``` |
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### Citation |
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If you use this dataset in your research, please cite: |
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``` |
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@misc{sanskrit-ocr-dataset, |
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title = {Sanskrit OCR Dataset}, |
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author = {ProcessVenue}, |
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year = {2024}, |
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publisher = {HuggingFace}, |
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url = {https://huggingface.co/datasets/processvenue/Sanskrit-OCR-Dataset}, |
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organization = {ProcessVenue}, |
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contact = {[email protected]}, |
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Website = {https://www.processvenue.com/} |
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} |
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``` |
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### References |
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``` |
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@misc{Sarode_Marathi_Handwritten_Text, |
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author = {Hrushikesh Sarode}, |
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title = {Marathi Handwritten Text Dataset}, |
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year = {n.d.}, |
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url = {https://www.kaggle.com/datasets/hrushikeshsarode/marathi-handwritten-text-dataset}, |
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note = {Accessed: February 12, 2025} |
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} |
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``` |
