Video Dataset for Safe and Unsafe Behaviours

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


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.


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.


Bilecik Seyh Edebali Universitesi


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


Bilecik Şeyh Edebali Üniversitesi