Do any-one know few good annotated OCR datasets that we can use to train a OCR model for detecting text from documents like resume (i.e., document image)?
The dataset contains 941 online handwritten documents by 189 writers. The documents consist of text blocks, lists, tables, formulas, diagrams, and drawings. Such pieces of content have been placed in arbitrary positions on each document.
Some of the documents have landscape orientation, others have portrait orientation. On some documents, separate text parts have a different orientation.
The dataset contains:
941 documents 68841 words 7616 text lines in text blocks 1478 text blocks 2068 list items 536 lists 2550 table cells 450 tables 5698 labels in diagrams 917 drawings in diagrams 910 diagrams 546 drawing not part of diagrams 489 formulas 355,097 strokes