Who's That Pokemon: Pokedex Project
Format
SOECS Senior Project Demonstration
Faculty Mentor Name
Mike Canniff
Faculty Mentor Department
School of Engineering and Computer Science
Abstract/Artist Statement
Abstract
The goal of the Pokèdex is to help those who are new to Pokèmon identify the creatures and to bring to life the tool from the show for nostalgic fans.
Objectives
-
In order to accomplish this, we utilized an Object Detection API with Tensorflow using Python.
-
Our application will highlight the detected Pokemon by surrounding it with a box and a label with the Pokemon's name and the program's percent confidence.
-
People can expect a GUI that takes a picture of a Pokémon with a scan button. The program will scan the Pokemon in frame and use our Object Detection API to distinguish said Pokémon.
Artist Statement
Our motivation to develop this application was driven by our love for the Pokèmon show and desire to apply skills learned throughout our time at Pacific as well as learning topics in a field we are all interested in - machine learning (ML) and artificial intelligence (AI).
We hope that audiences are able to see the fluidity of the program and quick results. The quick and certain results are as a result of hours of hard work poured into this project. We hope that others will share the same joy for the project as we do and really just have an enjoyable experience while using our application.
It was enjoyable to research this project, since it did involve a lot of looking up Pokemon pictures and stats - which isn’t the typical homework assignment.
Location
Virtual
Start Date
25-4-2020 2:00 PM
End Date
25-4-2020 4:00 PM
Who's That Pokemon: Pokedex Project
Virtual
Abstract
The goal of the Pokèdex is to help those who are new to Pokèmon identify the creatures and to bring to life the tool from the show for nostalgic fans.
Objectives
-
In order to accomplish this, we utilized an Object Detection API with Tensorflow using Python.
-
Our application will highlight the detected Pokemon by surrounding it with a box and a label with the Pokemon's name and the program's percent confidence.
-
People can expect a GUI that takes a picture of a Pokémon with a scan button. The program will scan the Pokemon in frame and use our Object Detection API to distinguish said Pokémon.
Artist Statement
Our motivation to develop this application was driven by our love for the Pokèmon show and desire to apply skills learned throughout our time at Pacific as well as learning topics in a field we are all interested in - machine learning (ML) and artificial intelligence (AI).
We hope that audiences are able to see the fluidity of the program and quick results. The quick and certain results are as a result of hours of hard work poured into this project. We hope that others will share the same joy for the project as we do and really just have an enjoyable experience while using our application.
It was enjoyable to research this project, since it did involve a lot of looking up Pokemon pictures and stats - which isn’t the typical homework assignment.