/LandUse-Classification-Satelite

Classifying Satelite Imagery for Land Use Purposes with Deep Learning

Primary LanguageJupyter Notebook

Land Use Classification Satelite Imagery

. With background from GIS world, I have concern in interpreting land use classification through Satelite Imagery. This project is created to classify land use from Satelite Imagery .

Data Sources

The datasets was collected from Kaggle with <100mb size data.

Overall Notebook

In this notebook, you'll see my EDA towards the image data, my Modeling Archiectures for Baseline and Improved ARchitectures, Trying to use Pretrained Model (VGG), Model analysis, Model Evaluation, and Conclusions. I have 90% Accuracy with 0.2 Loss each classes. Further analysis please open my .ipynb file.

Due to all respect, if you have any concern, you may visit my github and give stars to support and motivate me

Github

Streamlit

Click the button below to use my streamlit

PLEASE USE DARK MODE FOR BETTER USER INTERFACE

Deploy to Heroku

Or

https://landuse-cc.herokuapp.com/