YOLO models trained by DocLayNet - power your Document Intelligent by Layout Analysis
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Updated
Mar 10, 2026 - Python
YOLO models trained by DocLayNet - power your Document Intelligent by Layout Analysis
Standardized evaluation of modern object detectors beyond COCO.
A hybrid Computer Vision pipeline designed to transform high-variance smartphone document photos into structured, digital PDFs. It bridges the gap between raw pixel data and semantic document understanding using a combination of classical geometric processing and Deep Learning.
Reproducible benchmark harness for Torvex Extract.
Generate labelled document-layout datasets (PDF + page images + COCO/YOLO boxes) with a local LLM via Ollama
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