Abstract: The embodiment of the present disclosure provides a cleaning device, which includes a power module, a vacuum cleaner module, and a surface wet cleaner module. The power module includes a power assembly and a motor assembly that are connected to each other. The vacuum cleaner module includes an air suction assembly, a dust collection assembly, and a filter assembly that are sequentially communicated, and the vacuum cleaner module has a first mounting position that is configured to be connected and matched with the power module. The surface wet cleaner module includes a floor brush and a body, and the body has a second mounting position that is configured to be connected and matched with the power module.

Abstract: A model management system performs error analysis on results predicted by a machine learning model. The model management system identifies an incorrectly classified image outputted from a machine learning model and identifies using the Neural Template Matching (NTM) algorithm, an additional image correlated to the selected image. The system outputs correlated images based on a given image and a selection by a user through a user interface of a region of interest (ROI) of the given image. The region is defined by a bounding polygon input and the correlated images include features correlated to the features within the ROI. The system prompts a task associated with the additional image. The system receives a response that includes an indication that the additional image is incorrectly labeled and including a replacement label and instruct that the machine learning model be retrained using an updated training dataset that includes the replacement label.