Electric Fan Grid Structure Offset Detection Dataset

In the industrial sector, safety monitoring of equipment is paramount, especially for devices like electric fans where structural integrity is critical. Currently, there are significant challenges in detecting misalignment or displacement of protective grids, which can compromise safety. Existing solutions often lack precision and may lead to false positives or negatives, resulting in potential hazards. This dataset aims to address the technical challenge of accurately detecting grid misalignment through a robust image dataset. The data is collected using high-resolution cameras in well-lit environments, ensuring clarity and detail. Quality control measures include multiple rounds of annotation, consistency checks among annotators, and expert reviews to ensure high accuracy. The data is stored in JPG format and organized by categories based on alignment status. Each image is accompanied by metadata detailing the label and confidence scores.