YoloGesture

What is YoloGesture ?

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.

Features

• 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.

How to use YoloGesture ?

1. Install YoloGesture: Download and install the YoloGesture package or model from the designated repository.
2. Import the library: Add the YoloGesture library to your project using your preferred programming language.
3. Initialize the detector: Load the gesture detection model and configure any necessary parameters.
4. Process an image or video: Provide the input (image or video file stream) to the detector.
5. Detect gestures: Run the detection process and retrieve the results, which include gesture type and confidence score.

Frequently Asked Questions

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.