Shypd.aiThe largest open index of AI toolsDocLayout-YOLO is an open-source AI tool that enhances document layout analysis through diverse synthetic data and global-to-local adaptive perception. It provides a real-time and robust layout detection model based on YOLO-v10.
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DocLayout-YOLO is an official PyTorch implementation of a real-time and robust layout detection model for diverse documents, built upon YOLO-v10. It significantly enhances document layout analysis by leveraging diversified document pre-training and structural optimization. A key feature is the introduction of Mesh-candidate BestFit, which treats document synthesis as a two-dimensional bin packing problem to create a large-scale, diverse synthetic dataset called DocSynth-300K. The model also incorporates a Global-to-Local Controllability module for precise detection of document elements across varying scales, making it suitable for handling various document types. It supports both script-based and SDK-based predictions and offers pre-trained models for fine-tuning.
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