Package: kuzco 0.1.0.9000

kuzco: Computer Vision with Large Language Models

Make computer vision tasks approachable in R by leveraging Large Language Models. Providing fine-tuned prompts, boilerplate functions, and input/output helpers for common computer vision workflows, such as classifying and describing images. Functions are designed to take images as input and return structured data, helping users build practical applications with minimal code.

Authors:Frank Hull [aut, cre, cph], Johannes Breuer [ctb], Jordi Rosell [ctb]

kuzco_0.1.0.9000.tar.gz
kuzco_0.1.0.9000.zip(r-4.7-any)kuzco_0.1.0.9000.zip(r-4.6-any)kuzco_0.1.0.9000.zip(r-4.5-any)
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
kuzco/json (API)

# Install 'kuzco' in R:
install.packages('kuzco', repos = c('https://frankiethull.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/frankiethull/kuzco/issues

Pkgdown/docs site:https://frankiethull.github.io

On CRAN:

Conda:

quarto

7.95 score 69 stars 29 scripts 253 downloads 17 exports 91 dependencies

Last updated from:f27c0c59fb. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE660
source / vignettesOK228
linux-releaseNOTE159
macos-releaseNOTE486
macos-oldrelNOTE196
windows-develNOTE142
windows-releaseNOTE127
windows-oldrelNOTE136
wasm-releaseOK143

Exports:edit_promptkuzco_applist_promptsllm_image_alt_textllm_image_classificationllm_image_customllm_image_extract_textllm_image_recognitionllm_image_sentimenttool_llm_image_alt_texttool_llm_image_classificationtool_llm_image_customtool_llm_image_extract_texttool_llm_image_recognitiontool_llm_image_sentimentview_imageview_llm_results

Dependencies:askpassbase64encbigDbitopsbmpbslibcachemclicommonmarkcorocpp11crayoncurldigestdownloaderdplyrellmerevaluatefarverfastmapfontawesomefsgenericsggplot2gluegtgtablegtExtrashighrhtmltoolshtmlwidgetshttr2igraphimagerisobandjpegjquerylibjsonlitejuicyjuiceknitrlabelinglaterlatticelifecyclelitedownmagickmagrittrmarkdownMatrixmemoisemimeollamaropensslotelpaletteerpillarpkgconfigpngprismaticpromisespurrrR6rappdirsRColorBrewerRcppreactablereactRreadbitmaprematch2rlangrmarkdownrstudioapiS7sassscalesstringistringrsystibbletidyrtidyselecttifftinytexutf8V8vctrsviridisLitewithrxfunxml2yaml

benchmarking-llms
Benchmarking LLMs on the Same Image Task | The task and the images | Define the contenders | Run the benchmark | Compare | What to look for

Last update: 2026-10-13
Started: 2026-10-13

two-stage-modeling
Two-Stage Modeling: AI Vision + ML Classification | Stage 1: describe the images | Stage 2: train the string SVM | Predict on new images | Why two stages?

Last update: 2026-10-13
Started: 2026-10-13

batch-image-processing
Workflows for Many Images | applying a llm vision instruct to many images | applying many llm vision instructs to an image | applying many instructs to many images

Last update: 2025-12-01
Started: 2025-07-22

local-or-cloud
local LLMs | cloud LLMs | cloud example | cloud provider dictionary

Last update: 2025-12-01
Started: 2025-07-05

getting-started
a typical workflow for a single image | define a path to an image | view the input image | apply computer vision | view the output results | computer vision app

Last update: 2025-07-26
Started: 2025-06-07

multilingual-support
multilingual support | English Results | Spanish Results | German Results | Chinese Results

Last update: 2025-07-26
Started: 2025-07-26

Readme and manuals

Help Manual

Help pageTopics
chat ellmer helper (predates ellmer::chat)chat_ellmer
edit promptedit_prompt
shiny kuzco appkuzco_app
ellmer tools for kuzco computer vision functionskuzco-tools tool_llm_image_alt_text tool_llm_image_classification tool_llm_image_custom tool_llm_image_extract_text tool_llm_image_recognition tool_llm_image_sentiment
list promptslist_prompts
Image Alt Text using LLMsllm_image_alt_text
Image Classification using LLMsllm_image_classification
Customized Vision using LLMsllm_image_custom
Image OCR for Text Extraction using LLMsllm_image_extract_text
Image Recognition using LLMsllm_image_recognition
Image Sentiment using LLMsllm_image_sentiment
View Images quickly and easilyview_image
view llm results as a tidy great tableview_llm_results