Inspiration
It's always good to be up to date with computer vision benchmarks now that computers are more than capable of dealing with simpler problems.
What it does
Classifies drawn images into 15 different classes.
How we built it
We created a DNN that we hyper parameter tuned with the help of Gaussian Processes via Bayesian Optimization.
Challenges we ran into
The data is not well behaved and requires preprocessing.
Accomplishments that we're proud of
We achieved the first place in the scoreboard.
What we learned
Computer vision applied to benchmark problems
What's next for Pictionary Pugle
Adding more classes, and more robust validation schemes.
Log in or sign up for Devpost to join the conversation.