tensorflow/models · error · ValueError

Invalid dimensions for box data.

Error message

Invalid dimensions for box data.

What it means

Error "Invalid dimensions for box data." thrown in tensorflow/models.

Source

Thrown at official/vision/utils/object_detection/box_list.py:53

import tensorflow as tf, tf_keras


class BoxList(object):
  """Box collection."""

  def __init__(self, boxes):
    """Constructs box collection.

    Args:
      boxes: a tensor of shape [N, 4] representing box corners

    Raises:
      ValueError: if invalid dimensions for bbox data or if bbox data is not in
          float32 format.
    """
    if len(boxes.get_shape()) != 2 or boxes.get_shape()[-1] != 4:
      raise ValueError('Invalid dimensions for box data.')
    if boxes.dtype != tf.float32:
      raise ValueError('Invalid tensor type: should be tf.float32')
    self.data = {'boxes': boxes}

  def num_boxes(self):
    """Returns number of boxes held in collection.

    Returns:
      a tensor representing the number of boxes held in the collection.
    """
    return tf.shape(input=self.data['boxes'])[0]

  def num_boxes_static(self):
    """Returns number of boxes held in collection.

    This number is inferred at graph construction time rather than run-time.

    Returns:

View on GitHub (pinned to e006f5f0d5)

Solutions

1. Pass box data with shape [N, 4].
2. Reshape the box tensor to 2-D with 4 coordinates per box.

When it happens

Trigger: Thrown at official/vision/utils/object_detection/box_list.py:53 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of tensorflow/models@e006f5f0d5 (2026-08-24). Data as JSON: /api/errors/50ca0ba510fd211e. Report an issue: GitHub.