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Datasets:
Lez
/
wildrelight

Tasks:
Image-to-Image
Tags:
relighting
HDR
environment-map
outdoor
real-world
License:
Dataset card Files
xet
 Community
Dataset Viewer
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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:    CastError
Message:      Couldn't cast
scene: string
ref_shutter: double
ref_shutter_fraction: string
hdr_method: string
photos: list<item: struct<time: string, type: string, shooting_time: string, iso: int64, shutter_speed: stri (... 114 chars omitted)
  child 0, item: struct<time: string, type: string, shooting_time: string, iso: int64, shutter_speed: string, num_ima (... 102 chars omitted)
      child 0, time: string
      child 1, type: string
      child 2, shooting_time: string
      child 3, iso: int64
      child 4, shutter_speed: string
      child 5, num_images: int64
      child 6, source_files: list<item: string>
          child 0, item: string
      child 7, exposure_times: list<item: double>
          child 0, item: double
      child 8, ref_shutter: double
envmaps: list<item: struct<time: string, shooting_time: string, iso: int64, shutter_speed: string, num_exposu (... 69 chars omitted)
  child 0, item: struct<time: string, shooting_time: string, iso: int64, shutter_speed: string, num_exposures: int64, (... 57 chars omitted)
      child 0, time: string
      child 1, shooting_time: string
      child 2, iso: int64
      child 3, shutter_speed: string
      child 4, num_exposures: int64
      child 5, exposure_times: list<item: double>
          child 0, item: double
      child 6, ref_shutter: double
alignment_method: string
gps: struct<latitude: double, longitude: double, altitude_m: double>
  child 0, latitude: double
  child 1, longitude: double
  child 2, altitude_m: double
to
{'scene': Value('string'), 'ref_shutter': Value('float64'), 'ref_shutter_fraction': Value('string'), 'hdr_method': Value('string'), 'photos': List({'time': Value('string'), 'type': Value('string'), 'shooting_time': Value('string'), 'iso': Value('int64'), 'shutter_speed': Value('string'), 'num_images': Value('int64'), 'source_files': List(Value('string')), 'exposure_times': List(Value('float64')), 'ref_shutter': Value('float64')}), 'envmaps': List({'time': Value('string'), 'shooting_time': Value('string'), 'iso': Value('int64'), 'shutter_speed': Value('string'), 'num_exposures': Value('int64'), 'exposure_times': List(Value('float64')), 'ref_shutter': Value('float64')}), 'alignment_method': Value('string')}
because column names don't match
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 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              scene: string
              ref_shutter: double
              ref_shutter_fraction: string
              hdr_method: string
              photos: list<item: struct<time: string, type: string, shooting_time: string, iso: int64, shutter_speed: stri (... 114 chars omitted)
                child 0, item: struct<time: string, type: string, shooting_time: string, iso: int64, shutter_speed: string, num_ima (... 102 chars omitted)
                    child 0, time: string
                    child 1, type: string
                    child 2, shooting_time: string
                    child 3, iso: int64
                    child 4, shutter_speed: string
                    child 5, num_images: int64
                    child 6, source_files: list<item: string>
                        child 0, item: string
                    child 7, exposure_times: list<item: double>
                        child 0, item: double
                    child 8, ref_shutter: double
              envmaps: list<item: struct<time: string, shooting_time: string, iso: int64, shutter_speed: string, num_exposu (... 69 chars omitted)
                child 0, item: struct<time: string, shooting_time: string, iso: int64, shutter_speed: string, num_exposures: int64, (... 57 chars omitted)
                    child 0, time: string
                    child 1, shooting_time: string
                    child 2, iso: int64
                    child 3, shutter_speed: string
                    child 4, num_exposures: int64
                    child 5, exposure_times: list<item: double>
                        child 0, item: double
                    child 6, ref_shutter: double
              alignment_method: string
              gps: struct<latitude: double, longitude: double, altitude_m: double>
                child 0, latitude: double
                child 1, longitude: double
                child 2, altitude_m: double
              to
              {'scene': Value('string'), 'ref_shutter': Value('float64'), 'ref_shutter_fraction': Value('string'), 'hdr_method': Value('string'), 'photos': List({'time': Value('string'), 'type': Value('string'), 'shooting_time': Value('string'), 'iso': Value('int64'), 'shutter_speed': Value('string'), 'num_images': Value('int64'), 'source_files': List(Value('string')), 'exposure_times': List(Value('float64')), 'ref_shutter': Value('float64')}), 'envmaps': List({'time': Value('string'), 'shooting_time': Value('string'), 'iso': Value('int64'), 'shutter_speed': Value('string'), 'num_exposures': Value('int64'), 'exposure_times': List(Value('float64')), 'ref_shutter': Value('float64')}), 'alignment_method': Value('string')}
              because column names don't match

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WildRelight Dataset

A real-world relighting dataset of 30 outdoor/semi-indoor scenes captured across multiple time steps throughout the day. Each scene provides paired HDR photographs and HDR environment maps, enabling evaluation of outdoor relighting tasks.

Key Statistics

Property Value
Scenes 30
Time steps per scene 6–8 (spaced ~1 hour apart)
Total HDR photo/envmap pairs 196
Photo resolution (full) 6048 × 4024 px
Envmap resolution (full) 7680 × 3840 px (equirectangular)
Photo resolution (small) 1200 × ~798 px
Envmap resolution (small) 1200 × 600 px
File format OpenEXR
HDR normalization Radiance at reference shutter speed (1/500 – 1/10 s, per scene)

Equipment

  • Main camera: Sony α7 series — RAW
  • 360° camera: Insta360 Pro2 — 6-lens equidistant fisheye, stitched to equirectangular

Dataset Variants

Two resolution variants are provided under ori/ and small/. Within each variant, every scene contains four folders:

{variant}/{scene}/
├── photo/              # HDR photograph (unaligned)
├── photo_aligned/      # HDR photograph (temporally aligned, recommended)
├── envmap/             # HDR environment map (unaligned)
└── envmap_aligned/     # HDR environment map (temporally aligned, recommended)

Both photo_aligned/ and envmap_aligned/ are temporally aligned to the first time step — each image is warped so that the static background is registered across time. Use these for relighting experiments.

File Naming 

photo/          time{N}_hdr.exr          (N = 0, 1, 2, …)
envmap/         time{N}_envmap.exr

Metadata

Each scene contains a meta.json with:

Field Description
scene Scene name
ref_shutter Reference shutter speed (seconds) used for HDR normalization
ref_shutter_fraction Human-readable, e.g. "1/500"
hdr_method HDR merge algorithm (triangular_weight_debevec1997)
alignment_method life_optical_flow or cv2_sift_homography
gps {latitude, longitude, altitude_m} — available for 10 scenes
photos[].shooting_time Capture timestamp from EXIF
photos[].iso ISO speed
photos[].shutter_speed Representative shutter speed (human-readable)
envmaps[].shooting_time Capture timestamp
envmaps[].shutter_speed Envmap shutter speed

Scene List

GPS coordinates are provided as additional information. Since collecting GPS coordinates was not part of the original plan, only 10 scenes contain GPS coordinates.

Scene Time steps Alignment GPS
bench2 6 LIFE flow —
bench3 6 LIFE flow —
bike 6 LIFE flow yes
bikes2 6 LIFE flow —
bridge 6 LIFE flow —
building304 6 LIFE flow —
building324 7 LIFE flow —
byway 6 LIFE flow yes
cabin 6 CV2/SIFT —
corridor 6 LIFE flow yes
foodtruck 6 LIFE flow yes
garden 6 LIFE flow —
grassland 7 LIFE flow yes
grassland2 6 LIFE flow yes
indoor 6 CV2/SIFT —
lake 6 LIFE flow —
meadow 6 LIFE flow —
parking 7 LIFE flow —
pillar 6 LIFE flow —
playground 7 LIFE flow —
rail 7 LIFE flow —
road 7 LIFE flow —
sand 6 CV2/SIFT —
seaside 8 CV2/SIFT —
stairs 6 LIFE flow yes
statue 6 LIFE flow yes
statue2 6 LIFE flow yes
table_tennis 6 LIFE flow yes
wall 6 LIFE flow —
yatai 7 LIFE flow —

Temporal Alignment

Photos are aligned to time0 of each scene. Two methods are used depending on scene content:

  • LIFE optical flow (26 scenes): dense flow-based warping, handles gradual lighting changes and small camera motion
  • CV2/SIFT homography (4 scenes: cabin, indoor, sand, seaside): feature-based homography, used when flow alignment fails due to detailed textures.

Alignment is computed independently for ori and small resolutions. Environment maps are aligned using phase-correlation-based rotation estimation.

License

This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
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