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Datasets:
koreaman1010
/
korean-architecture-nature

Tasks:
Image Classification
Object Detection
Image Segmentation
Modalities:
Image
Languages:
Korean
English
Size:
n<1K
Tags:
image
architecture
photography
traditional-archtecture
modern-architecture
nature
License:
Dataset card Files
xet
Community
Dataset Viewer
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:    FileNotFoundError
Message:      datasets/koreaman1010/korean-architecture-nature@d2c7dfb7e559f59be6a7362b80ca6628567845fa/IMG_0002.jpg
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2361, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1883, in __iter__
                  batch = formatter.format_batch(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/formatting/formatting.py", line 471, in format_batch
                  batch = self.python_features_decoder.decode_batch(batch)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/formatting/formatting.py", line 233, in decode_batch
                  return self.features.decode_batch(batch, token_per_repo_id=self.token_per_repo_id) if self.features else batch
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 2142, in decode_batch
                  [
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 2143, in <listcomp>
                  decode_nested_example(self[column_name], value, token_per_repo_id=token_per_repo_id)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1405, in decode_nested_example
                  return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) if obj is not None else None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/image.py", line 184, in decode_example
                  with xopen(path, "rb", download_config=download_config) as f:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 935, in xopen
                  file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 135, in open
                  return self.__enter__()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 103, in __enter__
                  f = self.fs.open(self.path, mode=mode)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1293, in open
                  f = self._open(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 275, in _open
                  return HfFileSystemFile(self, path, mode=mode, revision=revision, block_size=block_size, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 947, in __init__
                  self.details = fs.info(self.resolved_path.unresolve(), expand_info=False)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 716, in info
                  _raise_file_not_found(path, None)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 1136, in _raise_file_not_found
                  raise FileNotFoundError(msg) from err
              FileNotFoundError: datasets/koreaman1010/korean-architecture-nature@d2c7dfb7e559f59be6a7362b80ca6628567845fa/IMG_0002.jpg

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Korean Architecture and Nature Dataset

This dataset contains photographs of Korean traditional architecture, modern buildings, and nature landscrapes.

All photos were taken in South Korea using DSLR, then organized for public research and AI training purposes.

Contents

  • Photos/: Images of Korean architecture (traditional & modern) and nature
  • metadata.xlsx : Metadata for each image (filename, Korean description, English description, RAW(O/X), Camera)

License

This dataset is released under the CC0 1.0 Universal (Public Domain Dedication) license. You may copy, modify, distribute and use the photos, even for commercial purposes, without asking permission.

Notes on Privacy

This dataset may contain people in public spaces, but their faces are not visible or personally identifiable.

한국어 설명

이 데이터셋은 대한민국의 전통 건축물, 현대 건축물, 자연 풍경 사진으로 구성되어 있습니다. 모든 사진은 DSLR을 통한 전문 장비로 촬영된 사진이며, 공개 연구 및 인공지능 학습 목적을 위해 사진을 기증합니다.

폴더 구성

  • Photos/: 한국의 전통 및 현대 건축물, 자연 사진
  • metadata.xlsx: 각 사진의 메타데이터 (파일명, 한국어 키워드, 영어 키워드, RAW유무, 카메라/렌즈)

라이선스

본 데이터셋은 CC0 1.0 범용 (퍼플릭 도메인 헌정) 라이선스로 공개됩니다. 사진을 복사, 수정, 배포 및 상업적 활용까지 자유롭게 사용할 수 있습니다.

개인정보 관련 안내

본 데이터셋에는 공공장소에서 촬영된 인물이 포함될 수 있으나, 얼굴이나 개인 식별 정보는 드러나지 않습니다

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