![]() The Roboflow team collected 355 images, predominantly from 4x4 word game tiles. All told, there are over 30 classes of different letters possible! Some variations of Boggle include word tiles like wild card spaces or blockers. Moreover, letter tiles can be any letter in the alphabet and at any orientation relative to the camera position. Data Collectionīoggle Boards are typically 4x4 word tiles, but they can come in 5x5 or even 6圆. This post will focus on building the computer vision model: data collection, labeling, preprocessing, augmentation, model training, and model export. We then wrote an application that used that model's outputs to find potential words and overlay those outputs on the state of the board. To build BoardBoss, we had to build a computer vision model that successfully identified letters in any orientation. ![]() BoardBoss is a smartphone app that scans the state of the board, identifies all potential solutions, and overlays those solutions in augmented reality on a user's smart phone. There's one key problem in Boggle, however: at the conclusion of the game, if there are words players have not found, they are never known! At the conclusion of one-minute, word are tallied based on their length, and whichever player has earned the most points wins! Players have one minute to identify all possible words that can be constructed from adjacent letter tiles. Boggle is a word game where a random assortment of letters are presented in a grid. In this post, we'll walk through the steps we took to go from raw images to a working mobile application that improves how you play Boggle! What is BoardBoss?īoardBoss is an application that improves the classic game, Boggle. #RECTLABEL PRICE FOR FREE#Another one of these applications, BoardBoss, is available entirely for free in the iPhone App Store. ![]() One of those applications, Magic Sudoku, even won Product Hunt's Augmented Reality App of the Year. How Making an iOS Application Inspired Roboflowīefore the Roboflow team was making tools for improving how developers apply computer vision to their problems, we were making our own computer vision applications. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |