Tire Surface Inspection Dataset

The Tire Surface Inspection Dataset is developed to address the growing need for automated tire quality assessment in the automotive industry. With the increasing number of vehicles on the road, ensuring tire safety has become a critical challenge. Current manual inspection methods are time-consuming and prone to human error, leading to potential safety risks. This dataset aims to provide high-quality images for training machine learning models to automate tire inspection processes. Data is collected using high-resolution cameras in controlled environments, ensuring consistency. Quality control measures include multiple rounds of annotation and expert reviews to maintain high accuracy. The dataset is stored in JPG format, organized by defect types and severity levels to facilitate easy access and analysis.