Indiscapes: Instance Segmentation Networks for Layout Parsing of Historical Indic Manuscripts
TABLE II: Dataset splits used for learning and inference.
['[EMPTY]', 'Train', 'Validation', 'Test', 'Total']
All manuscript images are adaptively resized to ensure the width does not exceed 1024 pixels. The images are padded with zeros such that the input to the deep network has spatial dimensions of 1024×1024. The ground truth region masks are initially subjected to a similar resizing procedure. Subsequently, they are downsized to 28×28 in order to match output dimensions of the mask sub-network.