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\subsection{Deep Learning} \label{sec:dl}
\subsection{Kemonomimi} \label{sec:kemonomimi}
-
-According to Urban Dictionary\footnote{\url{https://www.urbandictionary.com/define.php?term=Kemonomimi}}...
+The term \emph{Kemonomimi} comes from the two japanese words for beast/animal (kemono) and ear (mimi).
+According to Urban Dictionary\footnote{\url{https://www.urbandictionary.com/define.php?term=Kemonomimi}} the term refers to:
\begin{quote}
- A person with animalistic characteristics who is NOT a furry
+ \emph{a person with animalistic characteristics who is NOT a furry
These characteristics include, but are not limited to cat ears/tail,
fox ears/tail, puppy ears/tail, bunny ears/tail, deer/doe ears/tail,
and many more animals. These human animal hybrids can also have horns,
fangs, whiskers, and different color patterns.
- Kemonomimi and Furries are two different things.
+ Kemonomimi and Furries are two different things.}
\end{quote}
+It notably mentioned multiple times by Urban Dictionary that there is a distinction between kemonomimi and furry which is illustrated in Figure~\ref{fig:furrychart}.
\begin{figure}
\includegraphics[width=.5\textwidth]{img/furrychart.jpg}
- \caption{Insert caption here}
+ \caption{Furry chart with kemonomimi on the far left.}
\label{fig:furrychart}
\end{figure}
+Kemonomimi can then be split into subcategories based on the animal. In this study the following categories of kemonomimi are within scope:
+\begin{itemize}
+ \item Nekomimi (cat)
+ \item Inumimi (dog)
+ \item Usagimimi (bunny)
+ \item Okamimimi (wolf)
+ \item Kitsunemimi (fox)
+\end{itemize}
+We will also in this study focus on the ear feature and less on the tail.
+Sometimes a character does not have biological animal ears on their head, but is instead wearing a headband with ears attached. Other times a character might both have normal human ears as well as biological animals. In this study we make no distinction and include all types. Training an AI to detect animal ear headbands is considered for future work in Section~\ref{sec:futurework}.
+
\section{Method} \label{sec:method}
+First we establish if a model trained on low resolution images (thumbnails) can make accurate predictions on high resolution images (original).
+This study can then be further split into three challenges. Can an AI learn to differentiate between:
+\begin{enumerate}
+ \item Kemonomimi and Non-kemonomimi
+ \item Two types of kemonomimi
+ \item Multiple types of kemonomimi
+\end{enumerate}
\subsection{Data Collection} \label{sec:datacollection}
+The collection of images for the dataset of this study utilizes a script built around the API of Gelbooru\footnote{\url{https://gelbooru.com/}}.
+% TODO write about Gelboory
+% TODO write about the API
+% TODO write about the script
\subsection{fast.ai} \label{sec:fastai}