The current retail e-commerce industry sees a rapid growth in robotic home appliances, particularly robot vacuums. However, there is a significant challenge in effectively recognizing various shapes of these devices, which impacts product classification and customer recommendations. Existing datasets often lack diversity in shapes and quality annotations, leading to limited training effectiveness for machine learning models. This dataset aims to address these challenges by providing a comprehensive collection of images of robot vacuums in different shapes, thus meeting the demands for accurate shape recognition and enhancing user experience in product searches. The data is collected through systematic photography in controlled environments, ensuring high-quality images of the devices. Quality control measures include multiple rounds of annotation, consistency checks, and expert reviews to ensure accuracy. The dataset is stored in JPG format, organized by shape types and labeled accordingly.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
object_shape	string	The category of the shape of the robot vacuum cleaner 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

Downloads last month: 23

Total file size:

861 kB