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Sign Language Classification V1
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Sign Language Classification V1

Developed by joseluhf11
A sign language classification model fine-tuned based on Google Vision Transformer (ViT), achieving an accuracy of 80.56%
Image Classification
Transformers
Open Source License:Apache-2.0#Sign Language Recognition#Vision Transformer#High-precision Classification
Downloads 40
Release Time : 12/9/2023

Model Overview

This model is a sign language recognition model fine-tuned based on the Google ViT architecture, primarily used for static sign language image classification tasks

Model Features

High Accuracy
Achieves a classification accuracy of 80.56% on the evaluation set
Based on ViT Architecture
Utilizes the Vision Transformer architecture with powerful image feature extraction capabilities
Transfer Learning
Fine-tuned based on a pre-trained ViT model, effectively leveraging existing knowledge

Model Capabilities

Sign Language Image Classification
Static Gesture Recognition

Use Cases

Accessibility Technology
Sign Language Translation System
Converts sign language gestures into text or speech
Education
Sign Language Learning Aid
Assists learners in identifying and verifying sign language gestures
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