daniel-m / hey-waldo

Labeled images of the Where's Waldo puzzle for use in classification and image recognition problems.

Hey Waldo

This repository contains labeled images of the Where's Waldo puzzle for use in classification and image recognition problems, which I painstakingly hand labeled. Along with the labeled images are 19 original images, as well as the Python script used to create the smaller labeled images. Color, grayscale, and black or white versions of the labeled images are included as part of the data set.

Image Formats

• 256 x 256 pixels (317 images)
• 128 x 128 pixels (1344 images)
• 64 x 64 pixels (5376 images)

Discussion

I decided to label images as containing Waldo regardless of where Waldo is located in the image. As such, there are images that are labeled as Waldo that are not strictly part of the puzzle. Waldo look-alikes, such as those with different hair styles or glasses, were also labeled as Waldo. This was just due to the way in which I decided to approach the problem, so feel free to relabel the images according to your needs and interpretation.

Classification with these images is a difficult problem due to the Waldo's variable size (scaling issue), repeating patterns (red/white stripes present on other objects), occlusion (Waldo is often blocked by other people or objects), and the nature of the data, which is unbalanced (most images do not contain Waldo). It's a tough but fun application and I invite others to give it a try and share their results.

Fun Stuff

• Finding Wally (interactive web application)
  • Link to App
  • Github Repository
• Playing Where's Waldo Using a Tiramisu Network for Semantic Segmentation
  • Article
  • Github Repository
• How to Find Wally with a Neural Network
  • Article
  • Github Repository