Oil Sump Detection Dataset

The Oil Sump Detection Dataset addresses the growing need for reliable industrial inspection methods in automotive manufacturing, where traditional manual inspections are often time-consuming and error-prone. Existing solutions typically lack the accuracy required to meet quality standards, leading to defects in engine assembly. This dataset aims to enhance automated detection capabilities, contributing to improved operational efficiency. Data collection was conducted using high-resolution cameras under controlled lighting conditions to ensure consistency. Quality control measures include multiple rounds of annotation by skilled annotators, consistency checks, and expert reviews to validate the annotations. The dataset is structured with images stored in JPG format, organized by categories based on the type of defects detected.