['barricade', 'dumpster', 'excavators', 'gloves', 'hardhat', 'mask', 'no-hardhat', 'no-mask', 'no-safety vest', 'person', 'safety net', 'safety shoes', 'safety vest', 'dump truck', 'mini-van', 'truck', 'wheel loader']

Number of Images

{'train': 307, 'valid': 57, 'test': 34}

How to Use

Install datasets:

pip install datasets

Load the dataset:

from datasets import load_dataset

ds = load_dataset("keremberke/construction-safety-object-detection", name="full")
example = ds['train'][0]

Roboflow Dataset Page

https://universe.roboflow.com/roboflow-universe-projects/construction-site-safety/dataset/1

Citation

@misc{ construction-site-safety_dataset,
    title = { Construction Site Safety Dataset },
    type = { Open Source Dataset },
    author = { Roboflow Universe Projects },
    howpublished = { \\url{ https://universe.roboflow.com/roboflow-universe-projects/construction-site-safety } },
    url = { https://universe.roboflow.com/roboflow-universe-projects/construction-site-safety },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { jan },
    note = { visited on 2023-01-26 },
}

License

CC BY 4.0

Dataset Summary

This dataset was exported via roboflow.com on December 29, 2022 at 11:22 AM GMT

Roboflow is an end-to-end computer vision platform that helps you

collaborate with your team on computer vision projects
collect & organize images
understand unstructured image data
annotate, and create datasets
export, train, and deploy computer vision models
use active learning to improve your dataset over time

It includes 398 images. Construction 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.

Downloads last month: 560

Total file size:

27.7 MB

Models trained or fine-tuned on keremberke/construction-safety-object-detection

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