Image Classification with Noise Analysis

Classify a given image dataset. Some images in the dataset are 'noisy', hence these images must be preprocessed. Design a model to identify image types and analyze the 'noisy' rate in the dataset. Identify problems in the data through analysis and suggest improvements. Provide the model implementation and preprocessing methods. Example Input Mock input image data as numpy arrays