Classify an image and describe its contents with a local vision LLM. Wraps kuzco's tool_llm_image_classification() ellmer tool. Use when the task needs image classification, object identification, or a structured description of what an image contains.
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Classify an image and describe its contents using a local vision language model, exposed as an ellmer tool by the kuzco R package.
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.
library(kuzco)
library(ellmer)
chat <- chat_ollama(model = "qwen2.5vl")
chat$register_tool(tool_llm_image_classification())
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".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.
User: "What animal is in img/puppy.jpg?"
- Call
kuzco_image_classificationwithimage = "img/puppy.jpg".- Answer from
primary_objectandimage_description, mentioning the classification and confidence.
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Generate accessibility alt text for an image with a local vision LLM. Wraps kuzco's tool_llm_image_alt_text() ellmer tool. Use when the task needs a short textual description of an image, e.g. for accessibility, captions, or image indexing.
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Run a custom computer-vision prompt against an image with a local vision LLM. Wraps kuzco's tool_llm_image_custom() ellmer tool. Use when none of the specialized kuzco image skills (classification, OCR, recognition, sentiment, alt text) fit the task.
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Extract text visible in an image (OCR) with a local vision LLM. Wraps kuzco's tool_llm_image_extract_text() ellmer tool. Use when the task needs reading text from screenshots, documents, signs, labels, or any image containing writing.
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Recognize and locate instances of an object in an image with a local vision LLM. Wraps kuzco's tool_llm_image_recognition() ellmer tool. Use when the task needs finding, counting, or locating specific objects (faces, cars, animals) in an image.
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Analyze the sentiment or mood conveyed by an image with a local vision LLM. Wraps kuzco's tool_llm_image_sentiment() ellmer tool. Use when the task needs the emotional tone of an image, e.g. for content moderation, marketing, or curation.
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