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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"]
```
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