task_categories:object-detection size_categories:1K<n<10K format:parquet modality:image library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: image_id
    dtype: int64
  - name: image
    dtype: image
  - name: width
    dtype: int32
  - name: height
    dtype: int32
  - name: objects
    sequence:
    - name: id
      dtype: int64
    - name: area
      dtype: int64
    - name: bbox
      sequence: float32
      length: 4
    - name: category
      dtype:
        class_label:
          names:
            '0': Coverall
            '1': Face_Shield
            '2': Gloves
            '3': Goggles
            '4': Mask
            '5': Loo
  splits:
  - name: train
    num_bytes: 79711696.038
    num_examples: 6062
  - name: validation
    num_bytes: 3324645
    num_examples: 254
  - name: test
    num_bytes: 3300355
    num_examples: 253
  download_size: 85543290
  dataset_size: 86336696.038
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
task_categories:
- object-detection
---