Cable Clip/Tray Detection Dataset

The current industrial sector faces challenges in ensuring electrical wiring safety, particularly in identifying missing installations and defects in cable clips and trays. Existing solutions often rely on manual inspections, which are time-consuming and prone to human error. This dataset aims to provide a robust solution by enabling automated detection of these components through machine learning techniques. The dataset comprises images collected from various industrial environments, captured using high-resolution cameras under controlled conditions. Quality control measures include multiple rounds of annotation, consistency checks, and expert reviews to ensure high accuracy. The data is stored in JPG format, organized into directories based on categories and labeled appropriately.