sighn language Computer Vision Project
Updated 2 years ago
378
23
Metrics
Here are a few use cases for this project:
-
Education: The model could serve as a learning tool for beginners who are learning sign language. It can provide instant feedback if the user is forming the letters correctly, facilitating faster learning.
-
Communication Device: For users with hearing or speaking impairments, the model could be integrated into a smartphone or tablet app to translate sign language into text or speech in real-time, facilitating communication with people who don't know sign language.
-
Accessibility Tool: The model could be used as an accessibility feature on video conferencing platforms, translating sign language into subtitles. This would allow deaf or hard-of-hearing individuals to actively participate in virtual meetings.
-
Content Creation: The model can be used by creators for generating educational video content on platforms like YouTube. The video could show the accurate formation of sign language letters using a generated model.
-
Assistive Technology: The model could be integrated into assistive communication devices for non-verbal patients in hospitals, providing them a new channel of communication.
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
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
sighn-language_dataset,
title = { sighn language Dataset },
type = { Open Source Dataset },
author = { mahmoud },
howpublished = { \url{ https://universe.roboflow.com/mahmoud-irrgh/sighn-language } },
url = { https://universe.roboflow.com/mahmoud-irrgh/sighn-language },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-11-22 },
}