| Title: | LLM image classification using ollama in R |
|---|---|
| Description: | This package is a designed to use local models for image classification. The prompts and functions are designed to take an input image and supply classification information as an output. |
| Authors: | Frank Hull [aut, cre],
Johannes Breuer [ctb] |
| Maintainer: | Frank Hull <[email protected]> |
| License: | MIT + file LICENSE |
| Version: | 0.0.1.2 |
| Built: | 2025-03-19 05:47:47 UTC |
| Source: | https://github.com/frankiethull/kuzco |
Image Classification using LLMs
llm_image_classification( llm_model = "llava-phi3", image = system.file("img/test_img.jpg", package = "kuzco"), backend = "ellmer", ... )llm_image_classification( llm_model = "llava-phi3", image = system.file("img/test_img.jpg", package = "kuzco"), backend = "ellmer", ... )
llm_model |
a local LLM model pulled from ollama |
image |
a local image path that has a jpeg, jpg, or png |
backend |
either 'ollamar' or 'ellmer' |
... |
a pass through for other generate args and model args like temperature |
a df with image_classification, primary_object, secondary_object, image_description, image_colors, image_proba_names, image_proba_values
Image OCR for Text Extraction using LLMs
llm_image_extract_text( llm_model = "llava-phi3", image = system.file("img/text_img.jpg", package = "kuzco"), backend = "ellmer", ... )llm_image_extract_text( llm_model = "llava-phi3", image = system.file("img/text_img.jpg", package = "kuzco"), backend = "ellmer", ... )
llm_model |
a local LLM model pulled from ollama |
image |
a local image path that has a jpeg, jpg, or png |
backend |
either 'ellmer' or 'ollamar' |
... |
a pass through for other generate args and model args like temperature. set the temperature to 0 for more deterministic output |
a df with text
Image Recognition using LLMs
llm_image_recognition( llm_model = "llava-phi3", image = system.file("img/test_img.jpg", package = "kuzco"), recognize_object = "face", backend = "ellmer", ... )llm_image_recognition( llm_model = "llava-phi3", image = system.file("img/test_img.jpg", package = "kuzco"), recognize_object = "face", backend = "ellmer", ... )
llm_model |
a local LLM model pulled from ollama |
image |
a local image path that has a jpeg, jpg, or png |
recognize_object |
an item you want to LLM to look for |
backend |
either 'ollamar' or 'ellmer' |
... |
a pass through for other generate args and model args like temperature. set the temperature to 0 for more deterministic output |
a df with object_recognized, object_count, object_description, object_location
Image Sentiment using LLMs
llm_image_sentiment( llm_model = "llava-phi3", image = system.file("img/test_img.jpg", package = "kuzco"), backend = "ellmer", ... )llm_image_sentiment( llm_model = "llava-phi3", image = system.file("img/test_img.jpg", package = "kuzco"), backend = "ellmer", ... )
llm_model |
a local LLM model pulled from ollama |
image |
a local image path that has a jpeg, jpg, or png |
backend |
either 'ollamar' or 'ellmer' |
... |
a pass through for other generate args and model args like temperature. set the temperature to 0 for more deterministic output |
a df with image_sentiment, image_score, sentiment_description, image_keywords