README.md

---
title: GeoSpace Drone Intelligence
emoji: 🛰️
colorFrom: blue
colorTo: green
sdk: streamlit
sdk_version: 1.32.0
app_file: app.py
pinned: false
---

# 🛰️ GeoSpace — Two-Stage Drone Intelligence Platform

A professional geospatial AI pipeline for analyzing drone and aerial imagery.

## Two-Stage Pipeline
**Stage 1 — Land Cover Segmentation** (SegFormer-B2)
Pixel-level segmentation detecting: Buildings, Roads, Vegetation, Water, Bare Land, Forest, Farmland, Sand/Desert

**Stage 2 — Landform & Geological Classification** (SigLIP Satellite Classifier)
Each detected region is independently classified into landform types with geological context inference.

## Three Input Modes
- 📷 **Image** — Upload any drone/aerial image
- 🎥 **Video** — Upload drone footage, get annotated output video
- 📡 **Live Feed** — Webcam-based live drone feed simulation

## Models Used
- `nvidia/segformer-b2-finetuned-ade-512-512`
- `prithivMLmods/SAT-Landforms-Classifier`

## Tech Stack
Transformers · PyTorch · OpenCV · Streamlit