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Datasets:
shubhambaid
/
skin-burn-dataset

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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    UnicodeDecodeError
Message:      'utf-8' codec can't decode byte 0xff in position 0: invalid start byte
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 249, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4379, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2661, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/text/text.py", line 98, in _generate_tables
                  batch = f.read(self.config.chunksize)
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 844, in read_with_retries
                  out = read(*args, **kwargs)
                File "<frozen codecs>", line 325, in decode
              UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte

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📊 Dataset Statistics

• Total Images: 1,227 (predominantly .jpg format)
• Total Annotations: 1,441 (.txt files in YOLO format)
• Total Bounding Boxes: 2,219 (across the matched images)
• Missing Images: There are 214 annotation files (.txt) that do not have a corresponding image file. They should be filtered out before training models.

🏷️ Class Mapping & Distribution (Matched Pairs)

The YOLO annotations map to the following severity classes:

• Class 0 (First-Degree Burn): 872 bounding boxes (39.3%)
• Class 1 (Second-Degree Burn): 992 bounding boxes (44.7%)
• Class 2 (Third-Degree Burn): 355 bounding boxes (16.0%)

🛠️ Key Sections in the README.md

• YOLO Format Reference: Quick explanation of the space-separated coordinates structure.
• Usage Guidance: A Python snippet to automatically clean up/filter out the 214 unmatched .txt files.
• Citation Information: A standard BibTeX entry for the associated paper ("Detection of Different Degrees of Skin Burn using YOLOv3", Baid et al., 2020) for easy reference.
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Models trained or fine-tuned on shubhambaid/skin-burn-dataset