Mobiusi/Bath-Shower-Gel-Occlusion-Image-Dataset

Bath Shower Gel Occlusion Image Dataset

The retail e-commerce industry is increasingly relying on visual recognition technologies to enhance customer experiences and optimize inventory management. However, many existing datasets do not adequately represent occluded product images, which poses a significant challenge for machine learning algorithms in accurately recognizing and classifying products. This dataset aims to address the specific technical issue of training models to recognize products even when partially obscured, meeting the growing business demand for robust visual recognition systems. The data collection involved capturing images of various shower gel bottles from multiple angles and under diverse lighting conditions using high-resolution cameras. Quality control measures included multiple rounds of annotation, consistency checks across annotators, and expert reviews to ensure high accuracy. The data is stored in JPG format, organized with clear naming conventions and metadata files to facilitate easy access and utilization.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
background_clutter	string	The complexity and clutter of the background, such as simple, normal, or complex.
occlusion_level	string	The degree to which the body of the shower gel is obscured, such as partially occluded or fully occluded.

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