[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': 'Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:def draw_labeled_bboxes(img, labels):\n"""\nFunction to draw bounding box around detected cars in image.\n"""\nfor car_number in range(1, labels[1]+1):\nnonzero = (labels[0] == car_number).nonzero()\nnonzeroy = np.array(nonzero[0])\nnonzerox = np.array(nonzero[1])\nbbox = ((np.min(nonzerox), np.min(nonzeroy)), (np.max(nonzerox), np.max(nonzeroy)))\ncv2.rectangle(img, bbox[0], bbox[1], (0,0,255), 6)\nreturn img'}, {'role': 'assistant', 'content': "['data_preprocessing']"}]