Mobiusi/Electric-Fan-Grid-Structure-Offset-Detection-Dataset

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.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
offset_degree	float	The detected mesh's offset angle relative to the standard position.
detection_confidence	float	The confidence score of the model in detecting the mesh offset.
defect_type	string	The specific type of mesh offset, such as misalignment or displacement.

Compliance Statement

Authorization Type	CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com