Water Heater Control Panel Detection Dataset

In the current retail e-commerce industry, the proliferation of smart home devices has led to an increasing demand for automatic recognition of their control panels. However, existing detection technologies have low recognition rates in complex environments, making it difficult to meet practical application needs. This dataset aims to provide high-quality images of water heater control panels to improve the accuracy and robustness of target detection algorithms. The data in the dataset is sourced from water heater control panels photographed in various environments, using high-resolution image capture equipment to ensure clarity and detail. We have implemented strict quality control measures, including multiple rounds of annotation, consistency checks, and expert reviews to ensure the accuracy and consistency of the annotations. The data is stored in JPG format, organized as structured files containing images and their related annotations.