calls deep-text-recognition-benchmark “Deep learning text recognition model repository, choose for custom training or benchmarking text recognition.”
树洞 OCR 文字识别(一款跨平台的 OCR 小工具)
deep-text-recognition-benchmark is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
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These projects were analysed and named deep-text-recognition-benchmark among their alternatives. The relationship is not symmetric — how deep-text-recognition-benchmark rates them is a separate judgement, made when deep-text-recognition-benchmark is analysed in its own right.
calls deep-text-recognition-benchmark “Deep learning text recognition model repository, choose for custom training or benchmarking text recognition.”
树洞 OCR 文字识别(一款跨平台的 OCR 小工具)
calls deep-text-recognition-benchmark “choose as a research/previous-generation deep-learning text recognition baseline.”
Contexts Optical Compression
calls deep-text-recognition-benchmark “recognition-only model for cropped text images, no detection or layout.”
OCR, layout analysis, reading order, table recognition in 90+ languages
calls deep-text-recognition-benchmark “when you need a classic deep-learning text recognition model for standalone OCR tasks without layout parsing.”
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
calls deep-text-recognition-benchmark “Focuses on text recognition only, with benchmark code; not a complete OCR/detection toolkit.”
OpenOCR: An Open-Source Toolkit for General-OCR Research and Applications, integrates a unified training and evaluation benchmark, commercial-grade OCR and Document Parsing systems, and faithful reproductions of the core implementations from a wide range of academic papers.