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Guess the Blur

(Quickdraw Sketch Guessing Game)

By Andrea & Stik

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Goal

Our goal was to create a game that would give both the user and the computer a blurred image. From there, both would have to compete against one another to determine what the image is, based on 5 options that were given. The user is given 3 lives, and the computer is only given 1. If the user fails to guess the image correctly before their 3rd life is up, then they lose.

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Demo Videos

3 scenarios of what might happen:

  1. When the user wins
  2. When the computer wins
  3. When both the user and the computer win/tie

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Analysis / Conclusions

We used both Neutral Networks and Logistic Regressions to make predictions about our model’s accuracy, but we found that using Neural Networks gave us a higher percentage of accuracy.

We had to find the perfect amount to blur our images to keep the game challenging for both the AI and user.

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Challenges & Solutions

A couple challenges we had include:

  • Uploading datasets (i.e. the Quickdraw sketches) to Google Collab
  • Blurring the images
  • Finding a balance for the computer’s ability to guess the blurred image (we didn’t want it to guess it accurately every single time)

Our solutions to these issues were to:

  • Ask the TA’s for help
  • Look at previous notebooks
  • Raised our hands again for the TA’s

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Future Work

If we had more time, some things we would like to add to our game include:

  • Score variables to keep track of the user & computer’s points
  • Different mode levels (hard, easy, medium) that change the level of the picture’s blurring
  • A timer
  • More sketches/images

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Links