Mobiusi/Smart-Air-Conditioner-Image-Classification-Dataset

Smart Air Conditioner Image Classification Dataset

The current smart device industry faces challenges such as increased complexity in user interaction and insufficient accuracy in device recognition. Existing solutions often rely on traditional image recognition technology, resulting in low accuracy and poor adaptability. The construction of the Smart Air Conditioner Image Classification Dataset aims to address this issue by providing high-quality image data to help models better adapt to user interfaces in different environments. Data collection is mainly conducted through images of smart air conditioner remote controls and control interfaces, captured using high-resolution cameras under various lighting conditions to ensure coverage of various real-world scenarios. For quality control, multi-round annotation and consistency checks are implemented to ensure annotation accuracy, with final review and confirmation by domain experts. The data storage format is JPEG, organized by image ID.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
image_type	string	The specific type of image, such as: front, side, back.
object_count	int	The number of smart air conditioning devices appearing in the image.
ac_color	string	The color of the smart air conditioner device in the image.
ac_status	string	The current status of the air conditioner shown in the image, such as: on, off, standby.

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