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Sign Language
S
Sign Language
Developed by RavenOnur
This is an image classification model based on the PyTorch framework, specifically designed for recognizing sign language alphabets with 100% accuracy.
Downloads 225
Release Time : 1/1/2023
Model Overview
The model can recognize sign language alphabet images from A to Y (excluding J), suitable for sign language translation and educational scenarios.
Model Features
High Accuracy
Achieves 100% recognition accuracy on the test set.
Ease of Use
Automatically generated via HuggingPics tool, simple to deploy.
Multi-Alphabet Support
Supports recognition of 24 sign language alphabets (A-Y, excluding J).
Model Capabilities
Sign Language Alphabet Recognition
Static Image Classification
Real-time Sign Language Translation Support
Use Cases
Education
Sign Language Learning Aid
Helps learners verify the correctness of sign language alphabets.
Improves learning efficiency and accuracy.
Accessibility Technology
Sign Language Translation System
Serves as the alphabet recognition component of a sign language translation system.
Facilitates communication for the hearing impaired.
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