# Welcome to GSense
[**GSense**](https://github.com/GatorSense/GSense?tab=readme-ov-file) is a comprehensive tool for the annotation of hyperspectral and RGB images. It is designed in particular to make the challenging process of hyperspectral image annotation simple and efficient. GSense is built on [Napari](https://www.napari-hub.org/), a powerful GUI based visualization and annotation package which helps us leverage its benefits and expand them with additional functionality.
In GSense, you can load multiple images at once, mix spectral channels to generate visual pseudo-RGB representations, segment images using Meta AI's [Segment Anything Model](https://segment-anything.com/) with default or custom model checkpoints, and export annotation masks.
#### Key Features
* Import and work on multiple images simultaneously, saving time and effort.
* Create custom pseudo-RGB representations of hyperspectral images using user-defined channel combinations.
* Use pre-trained models for quick segmentation of hyperspectral or RGB images, and modify masks to suit your needs.
* Draw on images directly using intuitive tools like the brush, polygon, and line, and adjust segmentation masks.
* Export your annotations to use in downstream analysis or model training.
### Jump right in
---
# Agent Instructions: Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://gatorsense-uf.gitbook.io/gsense_how_to_guide/readme.md?ask=
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.