Baybayin Segmentation Object Detection Dataset and Pre-Trained Model by Baybayin Instance Segmentation

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Explore Dataset

Here are a few use cases for this project:

Baybayin Translation App: This machine learning model can be used to develop an application that translates Baybayin characters to English or any other language. The segmentation would be essential for isolating each character before translating.
Baybayin Script Educational Tools: The model can be used to build interactive educational tools or software. Users could draw or upload Baybayin characters, and the tool can identify and explain what they are.
Historical Research Assistance: As Baybayin is an ancient script, the model could be used to assist researchers in digitizing and interpreting Baybayin documents.
Video Subtitling Service: The model can be integrated into a video subtitling service. It would be particularly useful for films or documentaries that feature the Baybayin language, making them accessible for non-Baybayin speakers.
Physical Document Digitalization: The model could be used in libraries and archives to digitize and archive handwritten Baybayin scripts into digital datasheets for easy access and research.

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{
                            baybayin-segmentation_dataset,
                            title = { Baybayin Segmentation Dataset },
                            type = { Open Source Dataset },
                            author = { Baybayin Instance Segmentation },
                            howpublished = { \url{ https://universe.roboflow.com/baybayin-instance-segmentation/baybayin-segmentation } },
                            url = { https://universe.roboflow.com/baybayin-instance-segmentation/baybayin-segmentation },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jul },
                            note = { visited on 2024-06-18 },
                            }