FSL Dataset v3 Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Sign Language Recognition: This model can be used to convert hand gestures into text or speech. It would be particularly useful for creating real-time sign language translation software, helping to bridge the communication gap between the deaf community and others.
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Educational Tools: The model could be used to develop educational apps or programs for people learning sign language. It could provide immediate feedback on the user's signs, helping them to improve more quickly.
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Accessible Technology: This model could be used to enable gesture-based controls in consumer technology, such as smartphones, games consoles, or smart home devices, making them more accessible to individuals who rely on sign language for communication.
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Video Content Analysis: The model can be used to transcribe or automate subtitles for videos containing non-verbal communication (e.g., sign language). This can help improve accessibility and inclusivity of multimedia content.
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Assistive Communication Devices: The model can be integrated into assistive devices to interpret sign language. For instance, a device could interpret signs and convert them into speech, helping individuals who use sign language to communicate more easily with those unfamiliar with it.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
fsl-dataset-v3_dataset,
title = { FSL Dataset v3 Dataset },
type = { Open Source Dataset },
author = { AG },
howpublished = { \url{ https://universe.roboflow.com/ag-ddrlv/fsl-dataset-v3 } },
url = { https://universe.roboflow.com/ag-ddrlv/fsl-dataset-v3 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-11-13 },
}