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 __iter__(self):
      return stream.iter_csv(
          self.path,
          target="category",
          converters={
              "region-centroid-col": int,
              "region-centroid-row": int,
              "short-line-density-5": float,
              "short-line-density-2": float,
              "vedge-mean": float,
              "vegde-sd": float,
              "hedge-mean": float,
              "hedge-sd": float,
              "intensity-mean": float,
              "rawred-mean": float,
              "rawblue-mean": float,
              "rawgreen-mean": float,
              "exred-mean": float,
              "exblue-mean": float,
              "exgreen-mean": float,
              "value-mean": float,
              "saturation-mean": float,
              "hue-mean": float,
          },
      )
  
imports: from __future__ import annotations
  from river import stream
  from .None import base
label_desc: Use image node_id 2 for calling the ImageSegments obj's underlying member method code with example usage: obj.__iter__() and returns: stream