Hand Gesture Detection with YOLO 11m
Real-time gesture recognition using state-of-the-art YOLO 11m model for detecting OK, Thumbs Up/Down, Peace, and Fingers Crossed gestures
What It Does
Detects 5 hand gestures in real-time from images, videos, or live camera feeds using a custom-trained YOLO 11m model.
How It Works
Upload media or use live feed, customize detection settings (confidence threshold, object classes), and get instant results with bounding boxes.
Who It's For
Perfect for developers, researchers, and hobbyists exploring computer vision and gesture recognition applications.
Detected Gestures
OK
Classic OK hand sign
Thumbs Up
Positive approval gesture
Thumbs Down
Negative response gesture
Fingers Crossed
Good luck gesture
Peace Out
Victory/peace sign
Key Features
Image Upload
Detect gestures in JPEG, JPG, or AVIF images
Video Processing
Analyze MP4 videos frame-by-frame
Live Feed
Real-time detection from camera (coming soon)
Custom Classes
Select specific gestures to detect
Confidence Tuning
Adjust threshold for precision vs recall
GPU Support
CPU or GPU processing options
How to Use
Select Input Source
Choose from Image, Video, or Live Feed in the sidebar menu. Upload your file in the supported format.
Customize Settings
Select specific gesture classes or detect all. Adjust the confidence threshold slider to balance precision and recall.
Detect & Analyze
Click "Detect" to process. View results with bounding boxes, confidence scores, and detected gesture labels.
Supported Formats
Images
Videos
Live Feed
Technology Stack
Computer Vision
Development
Ready to Detect Hand Gestures?
Try the app now and experience real-time gesture recognition powered by YOLO 11m.
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