---
title: Visual Place Recognition Demo
emoji: 🗺️
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: mit
short_description: Upload a query image to find similar places
---

# Visual Place Recognition Demo

This is a Visual Place Recognition (VPR) demo using EigenPlaces model. Upload a query image to find similar places in our database of 400+ images from various cities.

## How it works


1. Upload a query image
2. The model extracts visual features from your image
3. It compares these features with pre-computed features from 400+ database images
4. Returns the most similar matches with similarity scores and location information

## Dataset

- **Database**: 400+ images from various cities
- **Cities**: Melbourne, Boston, and others
- **Metadata**: Each image includes place ID, city, and GPS coordinates

## Model

- **Architecture**: EigenPlaces with ResNet50 backbone
- **Descriptor Dimension**: 2048
- **Similarity Metric**: Cosine similarity

## Usage

1. Upload a query image using the interface
2. Adjust the number of matches you want to see (1-10)
3. Click "Find Matches" to get results
4. View the matched images and their metadata

## Technical Details

The demo uses:
- EigenPlaces model for visual feature extraction
- Pre-computed descriptors for fast similarity search
- Cosine similarity for matching
- Gradio for the web interface

## Files

- `app.py`: Main Gradio application
- `model.py`: Model loading and descriptor computation
- `dataset.py`: Dataset handling and ground truth lookup
- `data/`: Contains database images, query images, and ground truth JSON