EFDO line detection Computer Vision Project
The data set is a multi-scene transmission line image captured by the video surveillance device, including five typical hidden danger target categories, namely trucks, cranes, excavators, cranes and trees. Then labelme software is used to process the original data, label the hidden danger targets that pose threats to the transmission lines, and convert and integrate the original images and labeling files according to the YOLOv7 data set format to generate the transmission line security hidden danger target detection data set. The constructed dataset consists of 1211 images and is divided into the training set and the test set according to the ratio of 8:2.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
efdo-line-detection_dataset,
title = { EFDO line detection Dataset },
type = { Open Source Dataset },
author = { EFDO line detection },
howpublished = { \url{ https://universe.roboflow.com/efdo-line-detection/efdo-line-detection } },
url = { https://universe.roboflow.com/efdo-line-detection/efdo-line-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { may },
note = { visited on 2024-06-16 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the EFDO line detection project in your project.