ML Image Classification Evaluation - Table Contest Submission

ML Image Classification Evaluation

Authors: Eric Newkirk

Abstract: A shiny app for evaluating performance of machine learning models in classifying images of wildlife. The example compares the results from classifying ~250k photos using a popular, pre-trained machine learning algorithm with the IDs established by human observers. Species in the example data have been anonymized, as results of the study are unpublished.

Full Description:

Available on github

Table Type: interactive-Shiny
Submission Type: Single Table Example
RStudio Cloud:
DT package used: false
gt package used: false
reactable package used: true
flextable package used: false
huxtable package used: false
kableExtra package used: false
Other packages: