# image-annotation

#### Maximilian Weber

Ollama also supports multimodal models, which can interact with (but not create) images.

We start by loading the package:

    library(rollama)

After loading the package, we need to pull a model that can handle images. For example, the llava model. Using `pull_model("llava")` will download the model, or just load it if it has already been downloaded before.

    pull_model("llava")
    #> ✔ model llava pulled succesfully

We can use textual and visual input together. For instance, we can ask a question and provide a link to a picture or a local file path, such as `images = "/home/user/Pictures/IMG_4561.jpg"`.

In the first example, we ask the model to describe the logo of this package:

    query("Excitedly desscribe this logo", model = "llava",
          images = "https://raw.githubusercontent.com/JBGruber/rollama/master/man/figures/logo.png")
    #>
    #> ── Answer from llava ─────────────────────────────────────────────────
    #> This is an image of a logo for "Rollama." The logo features a playful
    #> and creative design, with a cartoon-style character resting on a bed
    #> of green grass. The character is anthropomorphic, having arms and
    #> legs like a human, but it has animal-like ears and is wearing a blue
    #> helmet. The helmet seems to have a visor, and there's a badge
    #> attached to it that reads "Rollama."
    #>
    #> The background of the logo is light blue with a faint cloud pattern,
    #> which adds to the whimsical feel of the design. The use of bold
    #> colors and simple shapes gives the logo a friendly and approachable
    #> vibe, suggesting that whatever "Rollama" represents could be fun and
    #> enjoyable.
    #>
    #> Without additional context, it's not possible to determine the exact
    #> nature or purpose of Rollama from this image alone. However, the
    #> playful design and the badge suggest that it might be related to a
    #> game, an application, or possibly a branding for something
    #> entertaining and engaging.

The second example asks a classification question:

    query("Which animal is in this image: a llama, dog, or walrus?",
          model = "llava",
          images = "https://raw.githubusercontent.com/JBGruber/rollama/master/man/figures/logo.png")
    #>
    #> ── Answer from llava ─────────────────────────────────────────────────
    #> The image shows an animated character that resembles a llama. It has
    #> distinctive features of a llama, such as the large head with two
    #> forward-facing horns and a long, curved neck with short, rounded ears
    #> at the top.