GoldenEye

GoldenEye is an open-source Python library that offers a streamlined, unified interface for working with geospatial vision-language models (VLMs). It aims to simplify the process of integrating advanced AI capabilities into geospatial workflows, making it accessible for developers and researchers alike. The library supports a growing collection of VLMs, allowing users to leverage state-of-the-art models for tasks such as image description and analysis.

Users can quickly get started by installing the library via pip and then dispatching an agent (model) to perform reconnaissance on geospatial imagery. This design significantly reduces the boilerplate code typically required to interact with diverse VLM architectures. The project emphasizes ease of use and rapid prototyping, enabling efficient exploration and application of geospatial AI.

GoldenEye is particularly valuable for those looking to experiment with or deploy geospatial AI models without deep expertise in each model's specific implementation details. Its modular approach means that new models can be integrated into the unified interface, expanding its utility over time for a wide range of geospatial vision tasks.