Investigating classification learning curves for automatically generated and labelled plant images. (arXiv:2205.10955v2 [cs.LG] UPDATED)

In the context of supervised machine learning a learning curve describes how
a model's performance on unseen data relates to the amount of samples used to
train the model. In this paper we present a dataset of plant images with
representatives of crops and weeds common to the Manitoba prairies at different
growth stages. We determine the learning curve for a classification task on
this data with the ResNet architecture. Our results are in accordance with
previous studies and add …

arxiv classification generated images learning