ifcb_classify_models: List Available CNN Models from a Gradio Classification Server

In iRfcb: Tools for Managing Imaging FlowCytobot (IFCB) Data

List Available CNN Models from a Gradio Classification Server

Description

Queries the Gradio API to retrieve the names of all CNN models available for IFCB image classification. These model names can be passed to the model_name argument of ifcb_classify_images() and ifcb_classify_sample().

Usage

ifcb_classify_models(gradio_url = "https://ifcb.serve.scilifelab.se")

Arguments

gradio_url

A character string specifying the base URL of the Gradio application. Default is "https://ifcb.serve.scilifelab.se", an instance hosted on the SciLifeLab Serve platform. A free example Hugging Face Space is also available at "https://irfcb-classify.hf.space" (limited resources, intended for testing and demonstration). For large-scale or production classification, deploy your own instance of the classification app with your own model (source code: https://github.com/EuropeanIFCBGroup/ifcb-inference-app) and pass its URL here.

Value

A character vector of available model names.

See Also

ifcb_classify_images(), ifcb_classify_sample()

Examples

## Not run: 
# List available models
models <- ifcb_classify_models()
print(models)

# Use a specific model for classification
result <- ifcb_classify_images("image.png", model_name = models[1])

## End(Not run)

iRfcb documentation built on June 8, 2026, 5:08 p.m.