keremberke/yolov8m-protective-equipment-detection
Object Detection
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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.
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