ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family Records (ICDAR2019HDRC)
Layout Analysis on structured historical document images
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ICDAR2019HDRC, Historical Chinese documents, Document Image Analysis, Textline Detection, segmentation
The scope of this competition is to segment the page in different classes by assigning a different pixel value for each class: There are 2 different annotated classes: RGB=0b00...1000=0x000008: text (foreground) RGB=0b00...0001=0x000001: non-text (background) The training data will be available as pixel labeled images. To avoid unfair penalties for the boundary regions, we add a value for boundary pixels: RGB=0b10...0000=0x800000: boundary pixel (to be combined with one of the classes, expect background) For example, a boundary text is represented as: boundary+text=0x800008
|ICDAR2019HDRCgroundTruth.zip||data||(99 MB)||15||Ground Truth Files|