class_docstr: An internal image list dataset for batch predict
class_docstr_tok: ["An","internal","image","list","dataset","for","batch","predict"]
code: def __len__(self):
      return len(self._imlist)
  
imports: import time
  import os
  import math
  import copy
  from PIL import Image
  import pandas
  import numpy
  import mxnet
  from mxnet import gluon, nd
  from mxnet.optimizer import Optimizer
  from mxnet import autograd
  from mxnet.gluon.data.vision import transforms
  from ....data.transforms.presets.imagenet import transform_eval
  from ....model_zoo import get_model
  from ....utils import LRSequential, LRScheduler
  from ....None import nn
  from ....None import loss
  from ..base_estimator import BaseEstimator, set_default
  from ..constants import BINARY, MULTICLASS, REGRESSION
  from .utils import get_data_loader, get_data_rec, smooth, mixup_transform
  from .default import ImageClassificationCfg
  from ...data.dataset import ImageClassificationDataset
  from ..conf import _BEST_CHECKPOINT_FILE
  from ..utils import EarlyStopperOnPlateau
label_desc: Use image node_id 3 for calling the ImageListDataset obj's underlying member method code with example usage: obj.__len__() and returns: len