GUI Plugin for Neural Network based LULC Classification

Atishay Jain, North Eastern Space Application Center, Government of India
Artificial Intelligence has great potential in the field of Earth observation systems, monitoring Land-use and other subdomains. With recent developments in technology, deep learning based methodologies have shown promising results in Land use Land cover classification problem. QAi Toolbox is a plugin-based extension to QGIS which is capable of implementing machine learning algorithms such as Random Forest, SVM and CNN algorithms such as UNET through a simple GUI framework. This talk will explain the implementation and workflow of the plugin.
Contributors: Atishay Jain, Chaarvi Bansal, Raghav Mishra, Smitesh Patil, Nilay Nishant (Mentor)

[@salarghaffarian4914]

Awesome!

[@eddisonjose]

Hi very good! Can you attach the data of the images and vectors to me to be able to do the exercise? Thanks!

[@TheLifehacktutorials]

wow

[@cesaraugustocalencio5291]

When this plugin will be published?

[@AbdullahSalimalig]

When is it likely to be available to the user?

[@rattanachhin1409]

How to install this tool box in QGIS?

[@umamartinez938]

Great talk. Looking forward to when the plugin is published. In the interm, can you recomend any other similar classification plugins for Qgis?

[@qgisnorthamerica1479]

You might try the Semi-Automatic Classification Plugin

[@umamartinez938]

@@qgisnorthamerica1479 thanks using it great plugin!!