> For the complete documentation index, see [llms.txt](https://docs.clore.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.clore.ai/guides/guides_v2-es/modelos-de-vision/vision-models.md).

# Descripción general

Visión por computadora y modelos visión-idioma en GPU de CLORE.AI.

## Guías disponibles

| Modelo                                                                   | Caso de uso               |
| ------------------------------------------------------------------------ | ------------------------- |
| [LLaVA](/guides/guides_v2-es/modelos-de-vision/llava-vision-language.md) | Chat y preguntas visuales |
| [Florence-2](/guides/guides_v2-es/modelos-de-vision/florence2.md)        | Visión multitarea         |
| [SAM2](/guides/guides_v2-es/modelos-de-vision/sam2-video.md)             | Segmentación de video     |
| [GroundingDINO](/guides/guides_v2-es/modelos-de-vision/groundingdino.md) | Detección zero-shot       |

## Casos de uso

* **Comprensión de imágenes** - LLaVA, Florence-2
* **Detección de objetos** - GroundingDINO, YOLO
* **Segmentación** - SAM2, Segment Anything
* **Generación de descripciones** - Florence-2, LLaVA

## Requisitos de GPU

| Modelo        | VRAM mínima |
| ------------- | ----------- |
| LLaVA 7B      | 8GB         |
| Florence-2    | 8GB         |
| SAM2          | 8GB         |
| GroundingDINO | 6GB         |

## Guías relacionadas

* [Modelos de Lenguaje](/guides/guides_v2-es/modelos-de-lenguaje/language-models.md)
* [Visión por Computadora](/guides/guides_v2-es/vision-por-computadora/computer-vision.md)


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.clore.ai/guides/guides_v2-es/modelos-de-vision/vision-models.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.