class_docstr: Dataset for image classification tasks
class_docstr_tok: ["Dataset","for","image","classification","tasks"]
code: def __len__(self):
      return len(self.images)
  
file_path: pytorch-toolbelt/pytorch_toolbelt/datasets/classification.py
imports: from typing import Optional, List, Union, Callable
  import albumentations
  import numpy
  import torch
  from torch.utils.data import Dataset
  from .common import read_image_rgb, INPUT_IMAGE_KEY, INPUT_IMAGE_ID_KEY, INPUT_INDEX_KEY, TARGET_CLASS_KEY
  from ..utils import fs, image_to_tensor
label_desc: Use image node_id 2 for calling the ClassificationDataset obj's underlying member method code with example usage: obj.__len__() and returns: len