indian_hand_sign_language Computer Vision Project
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Description
Introduction to the Indian Sign Language (ISL) Model
This project focuses on creating a precise and real-time detection model for Indian Sign Language (ISL) gestures. We utilize the YOLO-NAS Object Detection model with the coco/14 checkpoint and leverage Roboflow for data preprocessing, which includes annotating various images and balancing classes. The training, validation, and testing phases are executed using a Google Colab notebook, followed by live detection implementation in PyCharm. This model aims to facilitate seamless communication for the deaf and hard-of-hearing community by translating ISL gestures into text and speech.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
indian_hand_sign_language-keq7b_dataset,
title = { indian_hand_sign_language Dataset },
type = { Open Source Dataset },
author = { projects },
howpublished = { \url{ https://universe.roboflow.com/projects-di46v/indian_hand_sign_language-keq7b } },
url = { https://universe.roboflow.com/projects-di46v/indian_hand_sign_language-keq7b },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { feb },
note = { visited on 2025-05-14 },
}