keremberke/protective-equipment-detection

Dataset Labels

['glove', 'goggles', 'helmet', 'mask', 'no_glove', 'no_goggles', 'no_helmet', 'no_mask', 'no_shoes', 'shoes']

Number of Images

{'valid': 3570, 'test': 1935, 'train': 6473}

How to Use

• Install datasets:

pip install datasets

• Load the dataset:

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

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.