Sign Language BISINDO Object Detection Dataset and Pre-Trained Model by CV

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Explore Dataset

Here are a few use cases for this project:

Accessible Communication Application: The model could be used within an application that translates BISINDO (Indonesian Sign Language) for the deaf and hard of hearing. The app would interpret the user's hand gestures and convert them into written or spoken language, helping to bridge communication gaps.
Real-time Translator for Educational Purposes: The model could be integrated into virtual classrooms or e-learning platforms to provide real-time translations of teacher's sign language into written text, improving accessibility for deaf or hard-of-hearing students.
Silent Command Interface: This model could be used within software or hardware applications as a silent command interface. Users could manipulate systems or apps using specific hand gestures, useful in environments where silence is required or where voice commands are impractical.
Interactive Learning for Sign Language: An interactive sign language learning program could use the model to provide real-time feedback to users learning BISINDO. The system could identify and correct a user's hand gestures to aid in their learning process.
Assistive Technology in Public Services: This model could be implemented in public information systems, such as kiosks or ATMs, providing sign language interface option for those who rely on sign language for communication. This way, content could be made more accessible for everyone.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

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

@misc{
                            sign-language-bisindo-vsmfa_dataset,
                            title = { Sign Language BISINDO Dataset },
                            type = { Open Source Dataset },
                            author = { CV },
                            howpublished = { \url{ https://universe.roboflow.com/cv-yjopp/sign-language-bisindo-vsmfa } },
                            url = { https://universe.roboflow.com/cv-yjopp/sign-language-bisindo-vsmfa },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-05-15 },
                            }