> 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-de/vision-modelle.md).

# Vision-Modelle

- [Überblick](https://docs.clore.ai/guides/guides_v2-de/vision-modelle/vision-models.md)
- [Llama 3.2 Vision](https://docs.clore.ai/guides/guides_v2-de/vision-modelle/llama-vision.md): Führe Metas Llama 3.2 Vision für Bildverständnis auf Clore.ai aus
- [LLaVA](https://docs.clore.ai/guides/guides_v2-de/vision-modelle/llava-vision-language.md): Chatte mit Bildern mithilfe des LLaVA Vision-Language-Modells auf Clore.ai
- [Qwen2.5-VL Vision-Language-Modell](https://docs.clore.ai/guides/guides_v2-de/vision-modelle/qwen-vl.md): Führe Qwen2.5-VL aus, das führende offene Vision-Language-Modell, für Bild-/Video-/Dokumentenverständnis auf Clore.ai-GPUs.
- [Florence-2](https://docs.clore.ai/guides/guides_v2-de/vision-modelle/florence2.md): Microsoft Florence-2 für Bildbeschriftung, Detektion und Segmentierung
- [SAM2 Video](https://docs.clore.ai/guides/guides_v2-de/vision-modelle/sam2-video.md): Verfolge und segmentiere Objekte in Videos mit Metas SAM2 auf Clore.ai
- [GroundingDINO](https://docs.clore.ai/guides/guides_v2-de/vision-modelle/groundingdino.md): Erkenne jedes Objekt mithilfe von Textbeschreibungen mit GroundingDINO


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