hands Object Detection Dataset and Pre-Trained Model by test

Images

498 images

Explore Dataset

Here are a few use cases for this project:

Accessibility Application: This model can be used in an application to ensure real-time effective communication for individuals who rely on sign language. It could translate sign language into text on a screen, aiding deaf and mute people in communicating.
Online Learning: This model can be used to develop an online learning platform for people who want to learn sign language. By showing the signs to the camera, the platform can give immediate feedback on the correctness of their signs.
Video Conferencing Platforms: This model can be integrated into video conferencing tools. Live sign language interpretation could be shown as subtitles, making video calls more accessible for the deaf community.
Emergency Services: This model can be used in an emergency situation where the person cannot speak but can signal using sign language. The model can interpret the signs and inform the emergency services accordingly.
Healthcare Assistance: This model could be used in health-related applications, as many of the signs it identifies are medical-related. It could aid in communication in clinics and hospitals, especially in conversations about prescriptions, diagnoses or medical conditions.

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{
                            hands-wkyjq_dataset,
                            title = { hands Dataset },
                            type = { Open Source Dataset },
                            author = { test },
                            howpublished = { \url{ https://universe.roboflow.com/test-t3v7h/hands-wkyjq } },
                            url = { https://universe.roboflow.com/test-t3v7h/hands-wkyjq },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-04-28 },
                            }