Other packages > Find by keyword >

ZooID  

Load, Segment and Classify Zooplankton Images
View on CRAN: Click here


Download and install ZooID package within the R console
Install from CRAN:
install.packages("ZooID")

Install from Github:
library("remotes")
install_github("cran/ZooID")

Install by package version:
library("remotes")
install_version("ZooID", "0.2.0")



Attach the package and use:
library("ZooID")
Maintained by
Arick Grootveld
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-07-05
Latest Update: 2024-01-30
Description:
This tool provides functions to load, segment and classify zooplankton images. The image processing algorithms and the machine learning classifiers in this package are (will be, since these have not been added yet) direct ports of an early 'python' implementation that can be found at <https://github.com/arickGrootveld/ZooID>. The model weights and datasets (also not added yet) that are a part of this package can also be found at Arick Grootveld, Eva R. Kozak, Carmen Franco-Gordo (2023) <doi:10.5281/zenodo.7979996>.
How to cite:
Arick Grootveld (2023). ZooID: Load, Segment and Classify Zooplankton Images. R package version 0.2.0, https://cran.r-project.org/web/packages/ZooID. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2023-07-05 19:33)
Other packages that cited ZooID R package
View ZooID citation profile
Other R packages that ZooID depends, imports, suggests or enhances
Complete documentation for ZooID
Functions, R codes and Examples using the ZooID R package
Full ZooID package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA