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A newer version of the Gradio SDK is available: 5.44.1

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metadata
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.