Sanskrit OCR Computer Vision Project

iitbresearchwork

Updated a year ago

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Description

Here are a few use cases for this project:

  1. Digital Archiving: "Sanskrit OCR" can be used by libraries, universities or history enthusiasts to digitize ancient Sanskrit texts or manuscripts. This would enable easier preservation, access, and understanding of these invaluable pieces of human history and culture.

  2. Education and Research: This model can be used by students and researchers studying Sanskrit literature, linguistics, or history. Users can quickly search for specific terms in digitized texts, aiding their studies significantly.

  3. Translation Services: If linked with translation software, "Sanskrit OCR" can be extremely helpful in providing instant translations of Sanskrit texts into various languages. This could be useful in applications like translating ancient documents or creating bilingual editions of Sanskrit literature.

  4. Enhancing Accessibility for Blind individuals: This model could be integrated into audiobook applications to convert scanned Sanskrit texts into spoken words, making this ancient literature more accessible to people with visual impairments.

  5. Artificial Intelligence Training: Developers could make use of "Sanskrit OCR" model to train other AI models for tasks involving recognition and understanding of classical languages or scripts, advancing the linguistics field within AI.

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            sanskrit-ocr_dataset,
                            title = { Sanskrit OCR Dataset },
                            type = { Open Source Dataset },
                            author = { iitbresearchwork },
                            howpublished = { \url{ https://universe.roboflow.com/iitbresearchwork/sanskrit-ocr } },
                            url = { https://universe.roboflow.com/iitbresearchwork/sanskrit-ocr },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jul },
                            note = { visited on 2024-11-17 },
                            }