kuzco-classification

Classify an image and describe its contents using a local vision language model, exposed as an ellmer tool by the kuzco R package.

When to use

The user wants to know what an image shows: its category, the primary and secondary objects, a description, dominant colors, or class probabilities. This is the default skill for "what is in this image?" questions.

Setup

library(kuzco)
library(ellmer)

chat <- chat_ollama(model = "qwen2.5vl")
chat$register_tool(tool_llm_image_classification())

Tool arguments (LLM-controlled)

• image (required): local file path to a jpeg, jpg, or png image.
• additional_prompt (optional): extra instructions, e.g. "pay special attention to text on signs".
• language (optional): output language, e.g. "English".

Result

Compact JSON text with image_classification, primary_object, secondary_object, image_description, image_colors, and image_proba_names / image_proba_values. Summarize the key fields for the user; quote the description verbatim when asked for detail.

Example

User: "What animal is in img/puppy.jpg?"

1. Call kuzco_image_classification with image = "img/puppy.jpg".
2. Answer from primary_object and image_description, mentioning the classification and confidence.