Video Dataset for Safe and Unsafe Behaviours

Published: 11 June 2024| Version 1 | DOI: 10.17632/xjmtb22pff.1
Contributors:
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Description

This dataset is presented in the form of high-resolution video clips of safe and unsafe behaviours from a closed production area, to be used in occupational accident prevention studies. The dataset was collected from the security cameras of a production facility operating in an organised industrial zone in Eskişehir, Turkey, after obtaining the necessary permissions from company officials and employees. A total of 8 classes of behaviours, 4 classes of safe and 4 classes of unsafe behaviours, were identified for the dataset and 691 video clips containing these behaviours were obtained. The videos in the workplaces for this dataset were obtained between 5 November 2022 and 13 December 2022 from "Kafaoğlu Metal Plastik Makine San. ve Tic. A.Ş." in Eskisehir, Turkey between 5 November 2022 and 13 December 2022.

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Steps to reproduce

The video clips in the dataset were collected as surveillance video from two different IP cameras over a period of 39 days. This represents a total of approximately 4000 hours of video. The IP camera brand used to collect the surveillance video is UNV and the model is IPC2122CR3-PF40-A. The video recordings collected from these cameras for the dataset are in MP4 format, have a resolution of 1920x1080 and have a full HD structure at 24 FPS. The video clips also have H264 codec infrastructure.

Institutions

  • Bilecik Seyh Edebali Universitesi

Categories

Computer Vision, Video Acquisition, Machine Learning, Video Processing, Classification System, Pattern Recognition, Deep Learning, Action Recognition

Funders

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