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KAIST Computer Vision Project
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KAIST dataset is originally based on Thermal Infrared and corresponding RGB image pairs. I have made a model that can convert night-time infrared to day-time RGB using TIC-cGAN (https://arxiv.org/pdf/1810.05399). I have trained the YOLOv5 model on daytime RGB images and tested on generated fake day-time images from night-time infrared input to check mAP of proposed approach.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
kaist-xbctd_dataset,
title = { KAIST Dataset },
type = { Open Source Dataset },
author = { shivom bhargava },
howpublished = { \url{ https://universe.roboflow.com/shivom-bhargava/kaist-xbctd } },
url = { https://universe.roboflow.com/shivom-bhargava/kaist-xbctd },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { oct },
note = { visited on 2024-05-08 },
}
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Find utilities and guides to help you start using the KAIST project in your project.
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