Dataset Viewer
Duplicate
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:    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/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 506, in __iter__
                  yield from self.ex_iterable
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 398, in __iter__
                  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

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Wardy Hazard Object Detection Dataset

This dataset was prepared for training and evaluating indoor hazard object detection models. It contains images and YOLO-format bounding-box annotations.

Classes

ID Class
0 scissors
1 knife
2 cutter
3 syringe

Versions

Revision Description
hazard-objects-v1 Initial hazard object dataset
hazard-objects-v2 Updated and extended hazard object dataset
finetuning-v2 Additional fine-tuning dataset

Use a revision tag instead of main when reproducibility is important.

Dataset Structure

The hazard-objects-v1 and hazard-objects-v2 archives use the following YOLO dataset structure:

dataset/
|-- data.yaml
|-- images/
|   |-- train/
|   |-- val/
|   `-- test/
`-- labels/
    |-- train/
    |-- val/
    `-- test/

Each annotation line follows the YOLO format:

class_id x_center y_center width height

Coordinates are normalized to values between 0 and 1.

Download with hf CLI

hf download chocochip119/hazard \
  --type dataset \
  --revision hazard-objects-v2 \
  --local-dir ./hazard-dataset

Download with Python

from huggingface_hub import hf_hub_download
from zipfile import ZipFile

zip_path = hf_hub_download(
    repo_id="chocochip119/hazard",
    repo_type="dataset",
    filename="dataset.zip",
    revision="hazard-objects-v2",
)

with ZipFile(zip_path) as archive:
    archive.extractall("./hazard_objects_v2")

Training with Ultralytics

After extracting the archive, update the path field in data.yaml for your environment.

from ultralytics import YOLO

model = YOLO("yolo11n.pt")
model.train(
    data="./hazard_objects_v2/data.yaml",
    epochs=100,
    imgsz=640,
)

Limitations

  • Class distributions may be imbalanced.
  • Incorrect or missing annotations may exist.
  • The dataset may not represent every environment, lighting condition, or camera angle.
  • Models trained on this dataset require separate validation before real-world deployment.
  • Safety-critical decisions must not rely only on predictions from a model trained with this dataset.

Source and License

The complete source and redistribution terms of all images have not yet been documented. Verify ownership, consent, privacy requirements, and licensing before using or redistributing this dataset.

Related Model

Downloads last month
25

Models trained or fine-tuned on chocochip119/hazard