Description
Geo-Sleuth is a sophisticated agent skill designed to identify the location where a photo was taken. It utilizes a combination of OpenStreetMap geometry, elevation skylines, satellite imagery, and street view to accurately pinpoint locations. This tool is particularly useful for developers and researchers who need to analyze geographical data from images. Geo-Sleuth is compatible with several coding platforms, including Claude Code, Codex, Cursor, Gemini CLI, OpenCode, and GitHub Copilot, making it a versatile addition to any developer's toolkit. By leveraging these integrations, users can seamlessly incorporate Geo-Sleuth's capabilities into their existing workflows, enhancing their ability to process and analyze image data. The tool's open-source nature allows for community contributions and improvements, ensuring it remains at the cutting edge of technology. While Geo-Sleuth excels in determining photo locations, users should be aware of potential limitations in areas with sparse data coverage or low-quality images. Overall, Geo-Sleuth offers a powerful solution for those seeking to extract geographical insights from visual data.
- CategoryComputer Vision Tools
- Pricing ModelOpen source
- DeploymentCloud
- PlatformsWeb
Geo-Sleuth's Core Features
Determines photo location using OpenStreetMap
Utilizes elevation skylines for accuracy
Incorporates satellite imagery analysis
Integrates street view for enhanced detail
Compatible with Claude Code
Works with Codex and Cursor
Supports Gemini CLI and OpenCode
Integrates with GitHub Copilot
Getting Started with Geo-Sleuth
Clone: Download the repository from GitHub
Install dependencies: Set up required libraries
Configure: Adjust settings for your environment
Execute: Run the tool to analyze images
Optimize: Fine-tune parameters for better results
Geo-Sleuth's Use Cases
- Photo Location Analysis
- Geographical Research
- Developer Integration
- Image Data Processing
- Open Source Contribution
