Electric Heater Shape Classification Dataset

The electric heater market faces challenges such as increasing competition and the need for efficient product categorization. Existing classification systems often overlook specific heater types, resulting in mislabeling and inefficiencies in inventory management. This dataset aims to address the need for improved classification accuracy and faster identification of product types in retail environments. The dataset comprises images collected from various e-commerce platforms, ensuring a diverse representation of electric heater styles. Quality control measures include multi-round annotations and expert reviews to ensure labeling consistency. Data is stored in JPG format organized by categories. Each image is labeled with the specific type of heater, making it easy to access and use for training machine learning models.