From 4c2d5e53d52d8ba2bfb0825d62ea079c376305de Mon Sep 17 00:00:00 2001 From: Tobias Eidelpes Date: Wed, 22 Nov 2023 11:08:27 +0100 Subject: [PATCH] Use SBC acronym --- thesis/thesis.tex | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/thesis/thesis.tex b/thesis/thesis.tex index b8ec79e..10779af 100644 --- a/thesis/thesis.tex +++ b/thesis/thesis.tex @@ -232,8 +232,8 @@ adaption of existing models (transfer learning) for object detection to the domain of plant recognition may provide higher performance than would otherwise be achievable within the time constraints. -The model will be deployed to the single-board computer and evaluated -using established and well-known metrics from the field of machine +The model will be deployed to the \gls{sbc} and evaluated using +established and well-known metrics from the field of machine learning. The evaluation will seek to answer the following questions: \begin{enumerate} @@ -303,7 +303,7 @@ The methodological approach consists of the following steps: \item \textbf{Optimization}: The selected models will be optimized with respect to their parameters. \item \textbf{Deployment to \gls{sbc}}: The software prototype will be - deployed to the single-board computer. + deployed to the \gls{sbc}. \item \textbf{Evaluation}: The models will be evaluated extensively and compared to other state-of-the-art systems. During evaluation, the author seeks to provide a basis for answering the research