Omkar2118/datasets huggingface dataset:
AnnoPage Dataset

AnnoPage Dataset contains pages of mostly historical documents and annotations of non-textual objects, such as images, diagrams, symbols, initials, etc. The dataset contains data mostly from czech written documents downloaded from Digital Library, but it also contains annotations for pages from other already published datasets which are listed below together with links. The provided ZIP archive includes a text file referencing the pages from these datasets. The complete list of the annotated object categories is also listed below. The dataset contains a split into training and testing subsets, the creation of the validation subset is up to the users.

Introducing paper: AnnoPage Dataset: Dataset of Non-Textual Elements in Documents with Fine-Grained Categorization
PERO layout dataset

We compiled a new dataset (the PERO layout dataset) that contains 683 images from various sources and historical periods with complete manual text block, text line polygon and baseline annotations. The included documents range from handwritten letters to historic printed books and newspapers and contain various languages including Arabic and Russian. Part of the PERO dataset was collected from existing datasets and extended with additional layout annotations (cBAD, IMPACT and BADAM). The dataset is split into 456 training
and 227 testing images.

Introducing paper: Page Layout Analysis System for Unconstrained Historic Documents