tensorflow/models · error · ValueError

Missing the required key `{}` in predictions!

Error message

Missing the required key `{}` in predictions!

What it means

Error "Missing the required key `{}` in predictions!" thrown in tensorflow/models.

Source

Thrown at official/legacy/detection/evaluation/coco_evaluator.py:471

          - num_detections: a numpy array of int of shape [batch_size].
          - boxes: a numpy array of float of shape [batch_size, K, 4].
          - classes: a numpy array of int of shape [batch_size, K].
        Optional fields:
          - is_crowds: a numpy array of int of shape [batch_size, K]. If the
            field is absent, it is assumed that this instance is not crowd.
          - areas: a numy array of float of shape [batch_size, K]. If the field
            is absent, the area is calculated using either boxes or masks
            depending on which one is available.
          - masks: a numpy array of float of shape [batch_size, K, mask_height,
            mask_width],

    Raises:
      ValueError: if the required prediction or groundtruth fields are not
        present in the incoming `predictions` or `groundtruths`.
    """
    for k in self._required_prediction_fields:
      if k not in predictions:
        raise ValueError(
            'Missing the required key `{}` in predictions!'.format(k))
    if self._need_rescale_bboxes:
      self._process_predictions(predictions)
    for k, v in six.iteritems(predictions):
      if k not in self._predictions:
        self._predictions[k] = [v]
      else:
        self._predictions[k].append(v)

    if not self._annotation_file:
      assert groundtruths
      for k in self._required_groundtruth_fields:
        if k not in groundtruths:
          raise ValueError(
              'Missing the required key `{}` in groundtruths!'.format(k))
      for k, v in six.iteritems(groundtruths):
        if k not in self._groundtruths:
          self._groundtruths[k] = [v]

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/legacy/detection/evaluation/coco_evaluator.py:471 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/885c349246c5282c. Report an issue: GitHub.