Bi-Lingual Text Detection Object Detection Dataset and Pre-Trained Model by Veronica

Images

637 images

Explore Dataset

Here are a few use cases for this project:

Multilingual Document Digitization: The Bi-Lingual Text Detection model can be used to extract text from scanned documents or images containing text in English, Manipuri, E, and M languages. This would help in digitizing multilingual documents, making them searchable and accessible for users who require content in these specific languages.
Translation Assistance: This computer vision model could be integrated into translation applications to automatically identify and extract bilingual text from images, allowing for faster and more accurate translations between the supported languages. This would be particularly useful for tourists, researchers, and businesses operating in regions where these languages are spoken.
Education and Language Learning: The Bi-Lingual Text Detection model can be applied in educational tools or language learning applications as an aid for students learning English, Manipuri, E, or M. By extracting bilingual text from images and providing translations, it can help students improve their reading comprehension, vocabulary, and overall language skills.
Multilingual Subtitle Generation: The model can be employed to analyze movie posters, promotional materials, and film frames containing multilingual texts. Through automatic text extraction, this information can be utilized to generate accurate subtitles in English, Manipuri, E, and M, catering to a diverse audience.
Cultural Heritage Preservation: The Bi-Lingual Text Detection model can be used to analyze and catalog historical or cultural artifacts containing inscriptions or writings in English, Manipuri, E, M. Extracting text from these resources can facilitate better understanding, research, and digital preservation of cultural heritage associated with these languages.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            bi-lingual-text-detection_dataset,
                            title = { Bi-Lingual Text Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Veronica },
                            howpublished = { \url{ https://universe.roboflow.com/veronica/bi-lingual-text-detection } },
                            url = { https://universe.roboflow.com/veronica/bi-lingual-text-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-04-20 },
                            }