lyang95 / PipeCounting

Computer Vision–Based Counting Model for Dense Steel Pipe on Construction Sites

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Computer Vision–Based Counting Model for Dense Steel Pipe on Construction Sites

Introduction

This repo contains the pipe data, send email to LIYang95822@163.com for more information.

Use pipe data

You may download the pipe data reported in the paper from Google Drive (https://drive.google.com/file/d/1wrghmTmlvJZpYSBmpeSrzlHgtGo8hgx3/view?usp=sharing) or Baidu Cloud (https://pan.baidu.com/s/1XqzzopYrzHroLYlcjQAcaA, the access code is "PIPE").

Cite this paper

If you use pipe data in your research, please cite our work by using the following BibTeX entry:

@article{li2022computer, title={Computer Vision--Based Counting Model for Dense Steel Pipe on Construction Sites}, author={Li, Yang and Chen, Jun}, journal={Journal of Construction Engineering and Management}, volume={148}, number={1}, pages={04021178}, year={2022}, publisher={American Society of Civil Engineers} }

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Computer Vision–Based Counting Model for Dense Steel Pipe on Construction Sites