[{'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:images = glob.glob('training_sample/*.jpeg')\ncars = []\nnotcars = []\nfor image in images:\nif     'image' in image or   'extra' in image:\nnotcars.append(image)\nelse:\ncars.append(image)\nind = np.random.randint(0, len(cars))\nimage = mpimg.imread(cars[ind])\ngray = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)\norient1 = 9\npix_per_cell1 = 8\ncell_per_block1 = 2\nfeatures, hog_image1 = get_hog_features(gray, orient1,\npix_per_cell1, cell_per_block1,\nvis=True, feature_vec=False)\norient2 = 9\npix_per_cell2 = 4\ncell_per_block2 = 2\nfeatures, hog_image2 = get_hog_features(gray, orient2,\npix_per_cell2, cell_per_block2,\nvis=True, feature_vec=False)\norient3 = 9\npix_per_cell3 = 2\ncell_per_block3 = 2\nfeatures, hog_image3 = get_hog_features(gray, orient3,\npix_per_cell3, cell_per_block3,\nvis=True, feature_vec=False)\norient4 = 6\npix_per_cell4 = 8\ncell_per_block4 = 2\nfeatures, hog_image4 = get_hog_features(gray, orient4,\npix_per_cell4, cell_per_block4,\nvis=True, feature_vec=False)\norient5 = 11\npix_per_cell5 = 8\ncell_per_block5 = 2\nfeatures, hog_image5 = get_hog_features(gray, orient5,\npix_per_cell5, cell_per_block5,\nvis=True, feature_vec=False)\nfig = plt.figure()\nplt.subplot(121)\nplt.imshow(image, cmap='gray')\nplt.title('Example Car Image')\nplt.subplot(122)\nplt.imshow(hog_image1, cmap='gray')\nplt.title(str('HOG orient:'+ str(orient1)+'pix/cell: '+str(pix_per_cell1)))#+'cell/block: '+ str(cell_per_block1)))\nplt.show()\nplt.subplot(121)\nplt.imshow(hog_image2, cmap='gray')\nplt.title(str('HOG'+ str(pix_per_cell2)+'pix/cell')) # '+str(pix_per_cell2)+'cell/block: '+ str(cell_per_block2)))\nplt.subplot(122)\nplt.imshow(hog_image3, cmap='gray')\nplt.title(str('HOG'+ str(pix_per_cell3)+'pix/cell'))# '+str(pix_per_cell3)+'cell/block: '+ str(cell_per_block3)))\nplt.show()\nplt.subplot(121)\nplt.imshow(hog_image4, cmap='gray')\nplt.title(str('HOG  orient:'+ str(orient4)))#+'pix/cell: '+str(pix_per_cell4)+'cell/block: '+ str(cell_per_block4)))\nplt.subplot(122)\nplt.imshow(hog_image5, cmap='gray')\nplt.title(str('HOG  orient:'+ str(orient5)))#+'pix/cell: '+str(pix_per_cell5)+'cell/block: '+ str(cell_per_block5)))\nplt.show()"}, {'role': 'assistant', 'content': 'data_exploration'}]