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bigmamu6
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FLIR-IISR

Tasks:
Image-to-Image
ArXiv:
Tags:
infrared
super-resolution
computer-vision
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ValueError
Message:      Invalid string class label FLIR-IISR@5cd1d41e7664b68c91a3e581831011a9d8abd2cc
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2240, in __iter__
                  example = _apply_feature_types_on_example(
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2157, in _apply_feature_types_on_example
                  encoded_example = features.encode_example(example)
                                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2152, in encode_example
                  return encode_nested_example(self, example)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1437, in encode_nested_example
                  {k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1460, in encode_nested_example
                  return schema.encode_example(obj) if obj is not None else None
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1143, in encode_example
                  example_data = self.str2int(example_data)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1080, in str2int
                  output = [self._strval2int(value) for value in values]
                            ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1101, in _strval2int
                  raise ValueError(f"Invalid string class label {value}")
              ValueError: Invalid string class label FLIR-IISR@5cd1d41e7664b68c91a3e581831011a9d8abd2cc

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FLIR-IISR Dataset

This repository contains the FLIR-IISR dataset, a real-world infrared image super-resolution benchmark introduced in the paper Toward Real-world Infrared Image Super-Resolution: A Unified Autoregressive Framework and Benchmark Dataset.

Paper | Code

Dataset Details

FLIR-IISR is a real-world Infrared Image Super-Resolution (IISR) dataset consisting of 1,457 paired low-resolution (LR) and high-resolution (HR) infrared images. The data was acquired via automated focus variation and motion-induced blur to capture coupled optical and sensing degradations found in real-world conditions.

Composition

  • Total number of image pairs: 1,457
  • Image size: 1024 × 768
  • Degradation labels:
    • Optical blur (1,305 pairs)
    • Motion blur (152 pairs)

Scene Categories (12 categories)

The dataset covers a wide variety of scenes:

  • Building: 706
  • Complex scene: 401
  • Person: 309
  • Regular object: 248
  • Car: 234
  • Statue: 157
  • Road: 132
  • Plane: 54
  • Motorcycle: 27
  • Bicycle: 22
  • Tricycle: 13
  • Bus: 5

Citation 

@misc{zou2026realworldinfraredimagesuperresolution,
      title={Toward Real-world Infrared Image Super-Resolution: A Unified Autoregressive Framework and Benchmark Dataset}, 
      author={Yang Zou and Jun Ma and Zhidong Jiao and Xingyuan Li and Zhiying Jiang and Jinyuan Liu},
      year={2026},
      eprint={2603.04745},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2603.04745}, 
}
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Paper for bigmamu6/FLIR-IISR