Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (3.3%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: isurushanaka
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 9.77 KB
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  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
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Created over 3 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

Introduction

This study represents a utilization of Cycle-GAN for night-to-day (N2D) image translation.

Note

We are unable to share our training details as our paper is still being reviewed. Once our paper is published, we will publish all of our codes. However, we have shared our dataset and Pytorch implementation of the generator and the discriminator. If anyone is interested, we will share the weights for the generator and the discriminator.

UN2D200K Dataset

The UN2D200K dataset is composed of night-time driving and day-time driving images from the Oxford RobotCar dataset, the ZJU dataset, the BDD100K dataset, and the images form driving Downtown videos shared by J Utah. The datset can be downloaded from this link

Disclaimer: Please note no copyright infrignement is intended, and we do not own nor claim to own any of the video shared by J Utah

Owner

  • Name: Isuru Shanaka
  • Login: isurushanaka
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
type: dataset
message: "If you use this dataset, please cite it as below."
authors:
- family-names: "Lakmal"
  given-names: "H.K.I.S."
- family-names: "Dissanayake"
  given-names: "Maheshi B."
title: "Improving the Visibility at Night for Advanced Driver Assistance Systems Using Night-to-Day Image Translation"
version: 1.0.2
doi: 10.1109/SLAAI-ICAI56923.2022.10002695
date-released: 2022-12-18
url: "https://ieeexplore.ieee.org/abstract/document/10002695"

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