Awesome
<!-- PROJECT LOGO --> <br /> <p align="center"> <a href="https://github.com/shulavkarki/LandslideDetection-from-satellite-imagery"> <img src="./landslide.png" alt="Logo" width="100" height="100"> </a> <h2 align="center">Landslide Detection From Satellite Imagery</h2> <p align="center"> Using Attention and Autoencoder boosted CNN. <br /> <a href="https://github.com/shulavkarki/LandslideDetection-from-satellite-imagery"><strong>Docs 禄</strong></a> <br /> <br /> <a href="https://github.com/shulavkarki/LandslideDetection-from-satellite-imagery">View Demo</a> 路 <a href="https://github.com/shulavkarki/LandslideDetection-from-satellite-imagery/issues">Report Bug</a> 路 <a href="https://github.com/shulavkarki/LandslideDetection-from-satellite-imagery/issues">Request Feature</a> 路 <a href="https://github.com/shulavkarki/LandslideDetection-from-satellite-imagery/pulls">Send a Pull Request</a> </p> </p> <!-- ABOUT THE PROJECT -->About The Project
In this project, we carried out 3 experiments for the prediction of landslide in image. Experiments were:
- Pre-trained Model used as fixed extractor and fine tuned with classifier. Different experiment was carried out with different model like ResNet18, Resnet50.
- Autoencoder was used to extract the representaion vector space and trained with out 1D convolution layers. [.....Ongoing]
- Attention was used along with autoencoder and classic CNN. [.......Ongoing]
At last we intend to develop a web application to deploy our trained models.
Built With
<!-- * [Laravel](https://laravel.com) --> <!-- GETTING STARTED -->Getting Started
馃搨 Dataset
Bijie satellite imagery dataset is used for this project.
馃摛 Application
<!-- ROADMAP -->馃毀 Roadmap
See the open issues for a list of proposed features (and known issues).
<!-- PULLREQUESTS -->馃敆 Pull Request
This repo is under active development. If you have any improvements / suggestions please file an issue or send in a Pull Request.
<!-- CONTACT -->馃摣 Contact
Project Link: Github
馃懃馃懃 Team
Akshey Sigdel
Anuskha Gupta
Rabin Pandey
Shulav Karki