Electric-Pylon-Detection-in-RSI Computer Vision Project
Updated 2 years ago
From the Authors:
EPD dataset contains 1500 images in total: 720 images were captured by Pleiades satellite along Huimao Line in Guangdong Province, China, a main line of power network in south China, while the remaining images were collected from Google Earth to further improve the representativeness of the dataset by expanding the source of samples. The spatial resolution of images in EPD dataset is 1 m/pixel.
Moreover, to test and evaluate the adaptability of the detectors in face of actual situations, we specially selected 50 relatively complex images from EPD dataset comprising a complex test subset called EPD-C ...
1450 images in EPD dataset excluding EPD-C as a standard subset named EPD-S, which involves more than 3000 electric pylons. EPD-S subset was used to train detectors and perform random experiments.
Dataset Source:
This dataset is obtained from the listing in Robin Cole's satellite-image-deep-learning GitHub repository
Electric-Pylon-Detection-in-RSI -> a dataset which contains 1500 remote sensing images of electric pylons used to train ten deep learning models
- GitHub Repository
- Kaggle EPD Dataset: https://www.kaggle.com/datasets/qiaosijia/epd-dataset
- Link to the research paper: Deep Learning Based Electric Pylon Detection in Remote Sensing Images
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
electric-pylon-detection-in-rsi_dataset,
title = { Electric-Pylon-Detection-in-RSI Dataset },
type = { Open Source Dataset },
author = { Robin Public },
howpublished = { \url{ https://universe.roboflow.com/robin-public/electric-pylon-detection-in-rsi } },
url = { https://universe.roboflow.com/robin-public/electric-pylon-detection-in-rsi },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { dec },
note = { visited on 2024-11-22 },
}