Video Call ASL-Signs Object Detection Dataset and Pre-Trained Model by ASL classification

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Explore Dataset

Here are a few use cases for this project:

Remote Learning/Teaching: The model can be used in remote learning platforms for teaching or learning American Sign Language (ASL). It can analyze teachers or students' hand gestures in real time, confirming if the generated signs are accurate.
Video Communication for Deaf individuals: Video calling platforms can use the model to interpret hand signs to provide real-time translation during a call. This can enable effective communication for users who are deaf or are hard of hearing.
Virtual ASL Tutors: It can support the development of interactive virtual ASL tutorial systems, enabling users to practice and get instant feedback on their sign usage.
AI Assisted Speech Therapists: The model could assist therapists working remotely with clients who have speech disorders. It can help in interpreting signs to reinforce communication between the therapist and client.
Accessibility in entertainment/media: Streaming platforms can use the model to provide real-time or pre-processed ASL translations of movies, TV shows, or webinars for viewers who rely on sign language to communicate.

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{
                            video-call-asl-signs_dataset,
                            title = { Video Call ASL-Signs Dataset },
                            type = { Open Source Dataset },
                            author = { ASL classification },
                            howpublished = { \url{ https://universe.roboflow.com/asl-classification/video-call-asl-signs } },
                            url = { https://universe.roboflow.com/asl-classification/video-call-asl-signs },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-04-29 },
                            }