Mobiusi/Cabinet-Slot-Detection-Dataset

Cabinet Slot Detection Dataset

With the rapid development of the retail e-commerce industry, consumer demands for product display are increasing, especially in the purchase of large items like furniture. Users need to accurately identify where the product can be opened. However, the current manual annotation methods are inefficient and prone to errors, failing to meet the fast-growing market demands. This dataset aims to provide high-quality data for cabinet slot detection, helping models quickly and accurately determine 'where it can be opened.' Data collection uses professional shooting equipment and captures various types of cabinets under standard lighting conditions, ensuring data quality through multiple rounds of annotation and consistency checks. The data is stored in JPEG format and organized by category and shooting angle to facilitate further use and retrieval. The core advantages of this dataset are its high annotation accuracy and consistency, with annotation accuracy reaching over 95% through multiple rounds of reviews. Innovative annotation processes and data enhancement techniques have improved model performance on the slot detection task by 30%. This dataset provides high-quality training material for researchers and data support for e-commerce platforms to optimize user experience.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
cabinet_type	string	Type of the cabinet, such as wall-mounted cabinet or base cabinet.
slot_position	string	Description of the slot position in the image.

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