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NomOCR Computer Vision Project
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FA24
Nom-Script
Metrics
Try This Model
Drop an image or
Description
Here are a few use cases for this project:
-
Historical document analysis: The NomOCR can be used by researchers and historians to identify and categorize various ancient and historical documents containing Nom characters for easier analysis and understanding of the content.
-
Language learning and educational tools: Language instructors and learners can utilize the model to create learning materials, dictionaries, or interactive tools for students to practice reading and understanding Nom characters and their meanings.
-
Digital archiving and preservation: Libraries, museums, and cultural institutions can employ this model to digitize and preserve NomOCR manuscripts or artifacts, making them easily accessible and searchable for public use and academic research.
-
Metadata generation for calligraphy collections: Art collectors and galleries can use the model to add valuable metadata to their calligraphy collections, improving their searchability and understanding for potential buyers and art enthusiasts.
-
Machine translation systems: The NomOCR can be integrated into machine translation systems, enabling more accurate translations of historical documents and texts that utilize Nom-Script characters and improving communication between diverse language groups.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
LICENSE
BY-NC-SA 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
nomocr_dataset,
title = { NomOCR Dataset },
type = { Open Source Dataset },
author = { nhay103 },
howpublished = { \url{ https://universe.roboflow.com/nhay103/nomocr } },
url = { https://universe.roboflow.com/nhay103/nomocr },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-11-23 },
}