Chesseract Dataset

<p>A dataset containing the images and labels for the Chesseract data used in the CVPR NAS workshop Unseen-data challenge under the codename "Chester"</p> <p>The Chesseract dataset is constructed from publicly accessible Chess games played by Grandmasters: Bobby Fischer, Garry Kasparov, Magnus Carlsen, Viswanathan Anand, Hikaru Nakamura, Anatoly Karpov, Fabiano Caruana, and Mikhail Tal.</p> <p>We extracted the final 15% of board states where the nth board state refers to the position after N moves.</p> <p>Chesseract uses 12 channels to encode the information rather than the traditional 2 or 3 for grayscale and RGB images respectively. Each channel represents a singular piece type and colour combination. In essence, this has allowed us to represent the pieces and their position on the board in a one-hot encoded format.</p> <p>A rendering of one of the board states has been included in this archive to demonstrate how the machine perceives the dataset. A 2D traditional of the same board state is also included. Please note in the 3D rendering the white pieces have been rendered as gray to be more visible.</p> <p>The data is in a channels-first format with a shape of (n, 12, 8, 8) where n is the number of samples in the corresponding set (49,998 for training, 10,001 for validation, and 10,001 for testing).</p> <p>There are three classes in the dataset, with labels 23,333 examples of each distributed as evenly as possible between the three subsets.</p> <p>The three classes and corresponding numerical labels are as follows:<br> White wins: 0,<br> Draw: 1,<br> Black ins: 2<br> </p>