[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': "Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:def showImage(img):\nplt.imshow(img)\nplt.show()\nimg = plt.imread(data_folder + logs[randomLineFromLog][0])\nprint(' sample image from input data, ', 'image shape :',img.shape)\nshowImage(img)\nimg_trimmed = img[20:140]\nprint(' sample image trimmed, ', 'image shape :',img_trimmed.shape)\nshowImage(img_trimmed)\nimg_resized = cv2.resize(img,(32,16))\nprint(' sample image from input data rescaled, ', 'image shape :',img_resized.shape)\nshowImage(img_resized)\nimg_trimmed_rescaled = cv2.resize(img_trimmed,(32,16))\nprint(' sample image trimmed and then rescaled ', 'image shape :',img_trimmed_rescaled.shape)\nshowImage(img_trimmed_rescaled)"}, {'role': 'assistant', 'content': 'data_preprocessing'}]