class_docstr: 300W-LP dataset.
code: def _info(self):
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  "image": tfds.features.Image(
                      shape=(450, 450, 3), encoding_format="jpeg"
                  ),
                  "landmarks_origin": tfds.features.Tensor(
                      shape=(68, 2), dtype=np.float32
                  ),
                  "landmarks_2d": tfds.features.Tensor(
                      shape=(68, 2), dtype=np.float32
                  ),
                  "landmarks_3d": tfds.features.Tensor(
                      shape=(68, 2), dtype=np.float32
                  ),
                  "roi": tfds.features.Tensor(
                      shape=(4,), dtype=np.float32
                  ),
                  "illum_params": tfds.features.Tensor(
                      shape=(10,), dtype=np.float32
                  ),
                  "color_params": tfds.features.Tensor(
                      shape=(7,), dtype=np.float32
                  ),
                  "tex_params": tfds.features.Tensor(
                      shape=(199,), dtype=np.float32
                  ),
                  "shape_params": tfds.features.Tensor(
                      shape=(199,), dtype=np.float32
                  ),
                  "exp_params": tfds.features.Tensor(
                      shape=(29,), dtype=np.float32
                  ),
                  "pose_params": tfds.features.Tensor(
                      shape=(7,), dtype=np.float32
                  ),
              }
          ),
          homepage=_PROJECT_URL,
      )
  
file_path: datasets/tensorflow_datasets/datasets/the300w_lp/the300w_lp_dataset_builder.py
imports: import os
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Builder obj's underlying member method code with example usage: obj._info() and returns: self