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Ayaf

Developed by AyaF
ArSL VIT is an image classification model based on the Vision Transformer (VIT) architecture, specifically designed for Arabic sign language recognition tasks.
Image Classification
Transformers
#Arabic Sign Language Recognition#High-precision Vision Transformer#Real-time Image Classification
Downloads 12
Release Time : 12/2/2022

Model Overview

This model adopts the Vision Transformer architecture and focuses on the classification task of Arabic sign language images, with high accuracy and excellent performance.

Model Features

High Accuracy
Achieves an accuracy of 99.35% in Arabic sign language recognition tasks.
Based on Vision Transformer
Adopts the advanced Vision Transformer architecture, which can effectively capture global features in images.
Comprehensive Evaluation Metrics
Provides multiple evaluation metrics such as accuracy, precision, recall, and F1 score.

Model Capabilities

Arabic Sign Language Image Classification
High-precision Image Recognition

Use Cases

Accessibility Technology
Arabic Sign Language Translation
Used to translate Arabic sign language into text or speech in real-time to help deaf people communicate.
High-accuracy sign language recognition
Education
Sign Language Learning Assistance
Assists learners in practicing and evaluating the accuracy of Arabic sign language.
Provides immediate feedback
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