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YoloGesture is an AI-powered tool designed for detecting gestures in images and video streams. Built on advanced computer vision techniques, it enables real-time or offline analysis to identify specific hand or body gestures, making it useful for applications like human-computer interaction, surveillance, or sign language recognition.
• Real-time detection: Process live video feeds to identify gestures instantly.
• High accuracy: Leverages state-of-the-art algorithms to ensure precise gesture recognition.
• Multiplatform support: Compatible with various platforms, including web, mobile, and desktop applications.
• Extensibility: Allows users to train the model for custom gestures or specific use cases.
What file formats does YoloGesture support?
YoloGesture supports standard image formats like JPG, PNG, and BMP, as well as video formats such as MP4, AVI, and MOV.
How do I improve detection accuracy?
To improve accuracy, ensure high-quality input, proper lighting, and consider retraining the model with datasets specific to your use case.
Can I add custom gestures to YoloGesture?
Yes, YoloGesture allows customization. You can train the model with your dataset of specific gestures to expand its recognition capabilities.