tensorflow/models · error · ValueError

Results do not correspond to the current dataset!

Error message

Results do not correspond to the current dataset!

What it means

Error "Results do not correspond to the current dataset!" thrown in tensorflow/models.

Source

Thrown at official/legacy/detection/evaluation/coco_utils.py:93

    Args:
      predictions: a list of dictionary each representing an annotation in COCO
        format. The required fields are `image_id`, `category_id`, `score`,
        `bbox`, `segmentation`.

    Returns:
      res: result COCO api object.

    Raises:
      ValueError: if the set of image id from predctions is not the subset of
        the set of image id of the groundtruth dataset.
    """
    res = coco.COCO()
    res.dataset['images'] = copy.deepcopy(self.dataset['images'])
    res.dataset['categories'] = copy.deepcopy(self.dataset['categories'])

    image_ids = [ann['image_id'] for ann in predictions]
    if set(image_ids) != (set(image_ids) & set(self.getImgIds())):
      raise ValueError('Results do not correspond to the current dataset!')
    for ann in predictions:
      x1, x2, y1, y2 = [ann['bbox'][0], ann['bbox'][0] + ann['bbox'][2],
                        ann['bbox'][1], ann['bbox'][1] + ann['bbox'][3]]
      if self._eval_type == 'box':
        ann['area'] = ann['bbox'][2] * ann['bbox'][3]
        ann['segmentation'] = [
            [x1, y1, x1, y2, x2, y2, x2, y1]]
      elif self._eval_type == 'mask':
        ann['area'] = mask_api.area(ann['segmentation'])

    res.dataset['annotations'] = copy.deepcopy(predictions)
    res.createIndex()
    return res


def convert_predictions_to_coco_annotations(predictions):
  """Converts a batch of predictions to annotations in COCO format.

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/legacy/detection/evaluation/coco_utils.py:93 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/4275819049633bfa. Report an issue: GitHub.