Urdu Sign Language Interpreter Object Detection Dataset and Pre-Trained Model by xXx

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Explore Dataset

Here are a few use cases for this project:

Educational Tool: The Urdu Sign Language Interpreter model can be used in educational settings to help teach and reinforce students' understanding of the Urdu sign language alphabet by recognizing and providing feedback on their hand signs.
Accessibility App: Integration of the model into a smartphone app that translates Urdu sign language to text or speech in real-time, enhancing communication for individuals who are deaf or hard of hearing by bridging the gap between sign language users and non-signers.
Video Communication Systems: Implementing the model in video conferencing platforms to enable real-time sign language interpretation and translations for meetings, conferences, and remote work environments where participants communicate using Urdu sign language.
Sign Language Tutoring: Creating an interactive tutoring system that uses the model to interpret and evaluate users' sign language skills, providing personalized feedback and targeted practice for improvement in specific areas of the Urdu sign language alphabet.
Language Learning Games: Developing entertaining and educational games that incorporate the Urdu Sign Language Interpreter model, allowing users to practice and improve their sign language skills while enjoying engaging gameplay.

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.

YOLOv5

This project has a YOLOv5 model checkpoint available for inference with Roboflow Deploy. YOLOv5 is a proven and tested, production ready, 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{
                            urdu-sign-language-interpreter_dataset,
                            title = { Urdu Sign Language Interpreter Dataset },
                            type = { Open Source Dataset },
                            author = { xXx },
                            howpublished = { \url{ https://universe.roboflow.com/xxx-llcm4/urdu-sign-language-interpreter } },
                            url = { https://universe.roboflow.com/xxx-llcm4/urdu-sign-language-interpreter },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-04-26 },
                            }