Turn Signal Detection Dataset

The Turn Signal Detection Dataset is designed to address the challenges in vehicle turn signal system matching detection and indicator light module recognition. Currently, the automotive industry faces difficulties in accurately detecting and recognizing turn signals due to variations in lighting conditions and vehicle designs. Existing solutions often fall short as they rely on limited data and fail to adapt to diverse scenarios. This dataset aims to provide a comprehensive solution by offering a large collection of labeled images that can enhance model training for robust turn signal detection. Data is collected using high-resolution cameras in varying environments including day and night conditions. Quality control measures include multi-round annotations, consistency checks, and expert reviews to ensure high accuracy. The dataset is organized in JPG format for images, with structured labeling for easy access and analysis. The dataset contains 15,000 images, estimated at 3.2 GB in size, providing a rich resource for developing advanced detection algorithms.