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---
license: apache-2.0
size_categories:
- 100M<n<1B
task_categories:
- object-detection
tags:
- object detection
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
  splits:
  - name: train
    num_bytes: 240463364.0
    num_examples: 1000
  - name: test
    num_bytes: 4172164.0
    num_examples: 29
  download_size: 241152991
  dataset_size: 244635528.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---
## cppe-5

我正在 transformers 上练习 [object-detection](https://huggingface.co/docs/transformers/tasks/object_detection)

我在 Kaggle 上执行代码,因为那上面提供免费的GPU, 可是它访问不到 google drive,因此我复制了这个数据集[cppe-5](https://huggingface.co/datasets/cppe-5)。

类别标签: 
```text
["Coverall", "Face_Shield", "Gloves", "Goggles", "Mask"]
```