Visual LED Status Dataset for Machine Learning Applications

The dataset includes images of normal LEDs, bike and car lights, signal lights, and LEDs of different colors. The images were captured using a high-end resolution camera to ensure high-quality images suitable for machine learning applications.

The dataset is divided into five sub-folders containing images of normal LEDs, coloured LEDs, bike lights, car lights and signal lights labelled accordingly. The purpose of this dataset is to develop an image classification model that can accurately determine whether an LED is on or off based on its visual appearance. It is designed to support the development of machine learning models for LED status classification and recognition.