Stephen Gibson

less than 1 minute read

Stephen Gibson Our goal in this project is to teach the computer to recognize and classify videos of skateboarding tricks.

Skateboarders can easily recognize tricks performed by other skateboarders. Given a video of a skateboard trick, can the computer classify the trick with high probability? Stephen developed a dataset and a machine learning model that can distinguish between two of the most common skateboarding tricks, ollies and kickflips.

Summer 2020 - Machine Learning Skateboard Tricks

Here’s Stephen doing a kickflip:

Stephen does a kickflip

Updated:

You May Also Enjoy

Diversity Inclusivity Statement

2 minute read

Here is my personal statement on diversity and inclusivity that I submitted as part of my successful 2018 application to a Tenure-Track Position in Mathemati...

General Student Advice

5 minute read

This high level advice is for college students regardless of major. Some of my advice differs from what you typically hear in academia. Everything is informe...