tensorflow/models · error · FileNotFoundError

Dataset {dataset_name!r} is missing split folder: {split_inp

Error message

Dataset {dataset_name!r} is missing split folder: {split_input_dir}

What it means

Error "Dataset {dataset_name!r} is missing split folder: {split_input_dir}" thrown in tensorflow/models.

Source

Thrown at official/projects/waste_identification_ml/data_generation/auto_labeler_pipeline/segmentation.py:591

      classifier_output_dir: Path to the classifier dataset root.
      split_names: Split subfolder names to iterate, e.g. ``('train', 'val')``.
      processor: SAM3 processor instance.
      detection_config: Validated detection thresholds for this prompt.
      prompt: Text prompt for detection.
      crop_variants: Sequence of crop variant names to save.
      max_cpu_workers: Size of the CPU thread pool.
      queue_maxsize: Maximum in-flight CPU jobs before the GPU loop blocks.

  Raises:
      FileNotFoundError: If a configured split is missing.
  """
  print(f"\n=== Dataset: {dataset_name} ===")
  dataset_start = time.perf_counter()

  for split_name in split_names:
    split_input_dir = os.path.join(input_dir, split_name)
    if not os.path.isdir(split_input_dir):
      raise FileNotFoundError(
          f"Dataset {dataset_name!r} is missing split folder: {split_input_dir}"
      )

    class_folder = os.path.join(classifier_output_dir, split_name, dataset_name)
    log_label = f"{dataset_name}/{split_name}"

    process_split(
        split_input_dir,
        class_folder,
        log_label,
        processor,
        detection_config,
        prompt,
        crop_variants,
        max_cpu_workers,
        queue_maxsize,
    )

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/waste_identification_ml/data_generation/auto_labeler_pipeline/segmentation.py:591 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/eb111d230baf67e2. Report an issue: GitHub.