% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/collection-catalog.R
\docType{data}
\name{collection_catalog}
\alias{collection_catalog}
\title{Dataset Collection Catalog}
\format{
A data frame with datasets as rows and 17 columns:
\describe{
\item{collection}{Collection name (biology, medical, infrared, damage, underwater, document, mnist)}
\item{dataset}{Dataset identifier used in collection functions}
\item{description}{Brief description of the dataset and its purpose}
\item{task}{Machine learning task type (currently all "object_detection")}
\item{num_classes}{Number of different object classes}
\item{num_images}{Total images across all splits}
\item{image_width}{Typical image width in pixels}
\item{image_height}{Typical image height in pixels}
\item{train_size_mb}{Size of training split in megabytes}
\item{test_size_mb}{Size of test split in megabytes}
\item{valid_size_mb}{Size of validation split in megabytes}
\item{total_size_mb}{Total size across all splits in megabytes}
\item{has_train}{Is training split available}
\item{has_test}{Is test split available}
\item{has_valid}{Is validation split available}
\item{function_name}{R function name to load this dataset's collection}
\item{roboflow_url}{URL to the collection on RoboFlow Universe}
}
}
\usage{
collection_catalog
}
\description{
A comprehensive catalog of all collections RF100 (RoboFlow 100) and EMNIST datasets available in torchvision.
This data frame contains metadata about each dataset including descriptions, sizes,
available splits, and collection information.
}
\examples{
\dontrun{
# View the complete catalog
data(collection_catalog)
View(collection_catalog)

# See all biology datasets
subset(collection_catalog, collection == "biology")

# Find large datasets (> 100 MB)
subset(collection_catalog, total_size_mb > 100)
}

}
\seealso{
\code{\link[=search_collection]{search_collection()}}, \code{\link[=get_collection_catalog]{get_collection_catalog()}}
}
\keyword{datasets}
