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Asl Yolo Models
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Asl Yolo Models
Developed by atalaydenknalbant
Yolo architecture-based ASL (American Sign Language) object detection model capable of detecting letters A through Y (excluding J and Z).
Downloads 148
Release Time : 6/2/2024
Model Overview
This model focuses on static gesture detection for American Sign Language (ASL) alphabets, suitable for sign language recognition and educational applications.
Model Features
Multi-dataset training
Trained on 3 different datasets to enhance model generalization capability.
Static gesture recognition
Specialized in static gesture detection for ASL letters A-Y (excluding dynamic gestures required for J and Z).
Open-source license
Released under GPL-3.0 license, allowing free use and modification.
Model Capabilities
Static ASL alphabet detection
Real-time object recognition
Multi-object detection
Use Cases
Education
Sign language learning aid
Assists learners in recognizing and practicing ASL alphabet gestures.
Improves sign language learning efficiency and accuracy
Accessibility technology
Sign language translation system
Serves as the alphabet recognition component for sign language translation systems.
Facilitates communication for the hearing-impaired
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