Safety Helmet detection with Extended Labels 5K images (SHEL5K)

Published: 14 February 2022| Version 4 | DOI: 10.17632/9rcv8mm682.4
Contributor:
Munkhjargal Gochoo

Description

We extended the number of labels in Kaggle’s safety helmet detection dataset, which has 5000 images and 5000 annotations. The original dataset had three classes (person, head and helmet) and a total of 2501 labels. Moreover, the original dataset was incompletely labelled. We added three new labels on the dataset in results, the new labels consists of six classes (helmet, head with helmet, person with helmet, head, person no helmet, and face) and total of 75578 labels.

Files

Steps to reproduce

Download our dataset and preprocess it for your model.

Institutions

United Arab Emirates University

Categories

Mathematics, Health Sciences

Related Links

Dataset
https://www.kaggle.com/andrewmvd/hard-hat-detection
is source of this dataset

Licence