README.md

---
title: Land Cover Segmentation and Analysis
emoji: 🛰️
colorFrom: green
colorTo: blue
sdk: gradio
pinned: false
sdk_version: 5.42.0
---

### Sen-2 LULC: Interactive Land Cover Analysis
This tool performs semantic segmentation on satellite imagery to classify different types of land use and land cover (LULC). 
It is based on the **Sen-2 LULC dataset** and a **Custom DeepLabV3+** model.

**How it works:**
1.  **Upload Image:** Upload a satellite image patch.
2.  **Model Prediction:** The deep learning model classifies each pixel into one of the 8 LULC classes.
3.  **Analysis:** The application generates a color-coded **Segmentation Mask** and a **Quantitative Report** calculating the area of each land class in hectares.