indian_hand_sign_language Computer Vision Project

Indian Sign Language

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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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LICENSE

CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            indian_hand_sign_language_dataset,
                            title = { indian_hand_sign_language Dataset },
                            type = { Open Source Dataset },
                            author = { Indian Sign Language },
                            howpublished = { \url{ https://universe.roboflow.com/indian-sign-language-ebxwp/indian_hand_sign_language } },
                            url = { https://universe.roboflow.com/indian-sign-language-ebxwp/indian_hand_sign_language },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jul },
                            note = { visited on 2025-01-07 },
                            }