--- 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"] ```