Tiny Towns Scorer dataset

<p>This is the dataset and model used for <a href="https://github.com/MagicShoebox/vt-cs4664-tiny-towns-scorer">Tiny Towns Scorer</a>, a computer vision project completed as part of CS 4664: Data-Centric Computing Capstone at Virginia Tech. The goal of the project was to calculate player scores in the board game <a href="https://www.alderac.com/tiny-towns/">Tiny Towns</a>.</p> <p>The dataset consists of 226&nbsp;images and associated annotations, intended for object detection. The images are photographs of players&#39; game boards over the course of a game of Tiny Towns, as well as photos of individual game pieces taken after the game. Photos were taken using hand-held smartphones.&nbsp;Images are in JPG and PNG formats. The annotations are provided in TFRecord 1.0 and CVAT for Images 1.1 formats.</p> <p>The weights for the trained RetinaNet-portion of the model are also provided.</p>