tensorflow/models · error · ValueError

No images found in any folder for dataset {dataset_name!r}.

Error message

No images found in any folder for dataset {dataset_name!r}.

What it means

Error "No images found in any folder for dataset {dataset_name!r}." thrown in tensorflow/models.

Source

Thrown at official/projects/waste_identification_ml/data_generation/auto_labeler_pipeline/split_train_val.py:373

    folder_label = os.path.basename(source_folder.rstrip(os.sep))
    folders_to_process = [(source_folder, folder_label)]

  # First pass: check all duplicates before copying anything.
  all_splits = []
  for folder_path, folder_label in folders_to_process:
    result = process_folder(
        folder_path,
        folder_label,
        train_folder,
        val_folder,
        keep_every_nth,
        train_ratio,
    )
    if result is not None:
      all_splits.append(result)

  if not all_splits:
    raise ValueError(
        f"No images found in any folder for dataset {dataset_name!r}."
    )

  # Second pass: copy files.
  dataset_train_count = 0
  dataset_val_count = 0

  for split in all_splits:
    folder_label, folder_path, train_image_names, val_image_names = split
    print(
        f"[{folder_label}] {len(train_image_names)} train, "
        f"{len(val_image_names)} val"
    )

    copy_files(train_image_names, folder_path, train_folder)
    copy_files(val_image_names, folder_path, val_folder)

    dataset_train_count += len(train_image_names)

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/waste_identification_ml/data_generation/auto_labeler_pipeline/split_train_val.py:373 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/bb0ae7c3e41096f0. Report an issue: GitHub.