--- task_categories: - object-detection tags: - roboflow - roboflow2huggingface - Manufacturing ---
keremberke/protective-equipment-detection
### Dataset Labels ``` ['glove', 'goggles', 'helmet', 'mask', 'no_glove', 'no_goggles', 'no_helmet', 'no_mask', 'no_shoes', 'shoes'] ``` ### Number of Images ```json {'valid': 3570, 'test': 1935, 'train': 6473} ``` ### How to Use - Install [datasets](https://pypi.org/project/datasets/): ```bash pip install datasets ``` - Load the dataset: ```python from datasets import load_dataset ds = load_dataset("keremberke/protective-equipment-detection", name="full") example = ds['train'][0] ``` ### Roboflow Dataset Page [https://universe.roboflow.com/personal-protective-equipment/ppes-kaxsi/dataset/7](https://universe.roboflow.com/personal-protective-equipment/ppes-kaxsi/dataset/7?ref=roboflow2huggingface) ### Citation ``` @misc{ ppes-kaxsi_dataset, title = { PPEs Dataset }, type = { Open Source Dataset }, author = { Personal Protective Equipment }, howpublished = { \\url{ https://universe.roboflow.com/personal-protective-equipment/ppes-kaxsi } }, url = { https://universe.roboflow.com/personal-protective-equipment/ppes-kaxsi }, journal = { Roboflow Universe }, publisher = { Roboflow }, year = { 2022 }, month = { jul }, note = { visited on 2023-01-18 }, } ``` ### License CC BY 4.0 ### Dataset Summary This dataset was exported via roboflow.ai on July 7, 2022 at 3:49 PM GMT It includes 11978 images. Ppe-equipements are annotated in COCO format. The following pre-processing was applied to each image: * Auto-orientation of pixel data (with EXIF-orientation stripping) No image augmentation techniques were applied.