Real-Time

This dataset contains RGB images of hand signs collected from multiple volunteers under varying lighting conditions and backgrounds using different smartphone cameras. Images were captured in both daylight and dim lighting at multiple angles, using default camera settings with automatic exposure. The dataset is divided into two sections: one for training a detection model (with annotated bounding boxes) and another for testing a recognition model. It is designed to support research in sign language detection and recognition, especially for Bangla hand signs.