# Document Layout Analysis

The Docling model specifically designed for document layout detection, based on the RT-DETR architecture, for document layout analysis.

A document layout detection model based on the DETR architecture, capable of identifying various layout elements in documents.

Document image layout detection model fine-tuned based on microsoft/dit-base, capable of recognizing 11 types of document elements

A deformable DETR model trained on the DocLayNet dataset for object detection tasks in document layout analysis, achieving a box mAP of 57.1.

This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on the generator dataset, suitable for document understanding and layout analysis tasks.

Object detection model fine-tuned on the loc_beyond_words dataset based on facebook/detr-resnet-50

A document layout analysis model fine-tuned based on the LayoutLMv3 architecture, specifically designed for document element classification tasks in the DocLayNet dataset.

A line-level document understanding model fine-tuned based on LiLT and DocLayNet dataset, supporting multilingual document layout analysis