Rice Cooker Control Panel Detection Dataset

In the current retail e-commerce industry, the proliferation of smart home products has enriched the features of kitchen appliances like rice cookers. However, the market still lacks efficient and accurate object detection datasets to support the intelligent improvement of products. Existing detection methods largely rely on manual annotation, which is inefficient and error-prone, making it difficult to meet the demands of large-scale data training. This dataset aims to provide high-quality rice cooker control panel detection data, addressing current precision and efficiency challenges in smart home product detection. Data collection is conducted using professional photographic equipment in a standardized environment, ensuring image clarity and consistency; in addition, multi-round annotation and expert review establish a strict quality control system. Data is stored in JPG format with a clear organizational structure, facilitating subsequent processing and use.