class_docstr: Image segments classification.
  
  This dataset contains features that describe image segments into 7 classes: brickface, sky,
  foliage, cement, window, path, and grass.
  
  References
  ----------
  [^1]: [UCI page](https://archive.ics.uci.edu/ml/datasets/Statlog+(Image+Segmentation))
code: def __init__(self):
      super().__init__(
          n_samples=2_310,
          n_classes=7,
          n_features=18,
          task=base.MULTI_CLF,
          filename="segment.csv.zip",
      )
  
imports: from __future__ import annotations
  from river import stream
  from .None import base
label_desc: Use image node_id 1 to create a new ImageSegments object from inherited base classes: base with example: obj = ImageSegments()