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Yolov8x Tuned Hand Gestures
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Yolov8x Tuned Hand Gestures
Developed by lewiswatson
YOLOv8x model fine-tuned on Roboflow gesture dataset, specialized for gesture recognition tasks
Downloads 118
Release Time : 4/14/2023
Model Overview
This is an object detection model optimized based on the YOLOv8x architecture, specifically designed to recognize various gestures. The model has been fine-tuned on the Roboflow gesture dataset and is suitable for applications requiring gesture recognition.
Model Features
Gesture Recognition Optimization
Specially optimized for gesture recognition tasks, improving detection accuracy for various gestures
Based on YOLOv8x Architecture
Utilizes the YOLOv8x architecture, providing better detection performance while maintaining high inference speed
Fine-tuned on Roboflow Dataset
Fine-tuned on the Roboflow gesture dataset, enhancing the ability to recognize gesture features
Model Capabilities
Gesture Detection
Real-time Gesture Recognition
Multi-gesture Simultaneous Recognition
Use Cases
Human-Computer Interaction
Gesture Control Applications
Control smart devices or applications through gestures
Achieve touchless interactive experiences
Accessible Interaction Systems
Provide gesture-based interfaces for people with mobility impairments
Improve digital accessibility for special populations
Education & Entertainment
Gesture-based Games
Develop interactive games based on gesture recognition
Create novel game interaction methods
Educational Applications
Used for sign language teaching or gesture learning applications
Assist in sign language learning and teaching
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