PaddlePaddle/PP-DocLayout_plus-L
A higher-precision layout area localization model trained on a self-built dataset containing Chinese and English papers, PPT, multi-layout magazines, contracts, books, exams, ancient books and research reports using RT-DETR-L. The layout detection model includes 20 common categories: document title, paragraph title, text, page number, abstract, table, references, footnotes, header, footer, algorit
pip install mlforge-sdk && mlforge pull PaddlePaddle/PP-DocLayout_plus-L
Model details
About PaddlePaddle/PP-DocLayout_plus-L
A higher-precision layout area localization model trained on a self-built dataset containing Chinese and English papers, PPT, multi-layout magazines, contracts, books, exams, ancient books and research reports using RT-DETR-L. The layout detection model includes 20 common categories: document title, paragraph title, text, page number, abstract, table, references, footnotes, header, footer, algorithm, formula, formula number, image, table, seal, figuretable title, chart, and sidebar text and lists of references. The key metrics are as follow: