From c352e176f8501af6e5fdc9f23b4d94bd752039c1 Mon Sep 17 00:00:00 2001 From: licx Date: Sun, 16 Aug 2020 20:07:01 +0800 Subject: [PATCH] add total-text metrics --- README.md | 8 +++++++- README_cn.md | 6 ++++++ 2 files changed, 13 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 001251e4..32124165 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@ English | [简体中文](README_cn.md) PaddleOCR aims to create rich, leading, and practical OCR tools that help users train better models and apply them into practice. **Recent updates** -- 2020.8.16 Release text detection algorithm [SAST](https://arxiv.org/abs/1908.05498) and text recognition algorithm [SRN](https://arxiv.org/abs/2003.12294) +- 2020.8.16, Release text detection algorithm [SAST](https://arxiv.org/abs/1908.05498) and text recognition algorithm [SRN](https://arxiv.org/abs/2003.12294) - 2020.7.23, Release the playback and PPT of live class on BiliBili station, PaddleOCR Introduction, [address](https://aistudio.baidu.com/aistudio/course/introduce/1519) - 2020.7.15, Add mobile App demo , support both iOS and Android ( based on easyedge and Paddle Lite) - 2020.7.15, Improve the deployment ability, add the C + + inference , serving deployment. In addtion, the benchmarks of the ultra-lightweight OCR model are provided. @@ -102,6 +102,12 @@ On the ICDAR2015 dataset, the text detection result is as follows: |DB|MobileNetV3|75.92%|73.18%|74.53%|[Download link](https://paddleocr.bj.bcebos.com/det_mv3_db.tar)| |SAST|ResNet50_vd|92.18%|82.96%|87.33%|[Download link](https://paddleocr.bj.bcebos.com/SAST/sast_r50_vd_icdar2015.tar)| +On Total-Text dataset, the text detection result is as follows: + +|Model|Backbone|precision|recall|Hmean|Download link| +|-|-|-|-|-|-| +|SAST|ResNet50_vd|88.74%|79.80%|84.03%|[Download link](https://paddleocr.bj.bcebos.com/SAST/sast_r50_vd_total_text.tar)| + For use of [LSVT](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_en/datasets_en.md#1-icdar2019-lsvt) street view dataset with a total of 3w training data，the related configuration and pre-trained models for text detection task are as follows: |Model|Backbone|Configuration file|Pre-trained model| |-|-|-|-| diff --git a/README_cn.md b/README_cn.md index 45627083..c797097c 100644 --- a/README_cn.md +++ b/README_cn.md @@ -104,6 +104,12 @@ PaddleOCR开源的文本检测算法列表： |DB|MobileNetV3|75.92%|73.18%|74.53%|[下载链接](https://paddleocr.bj.bcebos.com/det_mv3_db.tar)| |SAST|ResNet50_vd|92.18%|82.96%|87.33%|[下载链接](https://paddleocr.bj.bcebos.com/SAST/sast_r50_vd_icdar2015.tar)| +在Total-text文本检测公开数据集上，算法效果如下： + +|模型|骨干网络|precision|recall|Hmean|下载链接| +|-|-|-|-|-|-| +|SAST|ResNet50_vd|88.74%|79.80%|84.03%|[下载链接](https://paddleocr.bj.bcebos.com/SAST/sast_r50_vd_total_text.tar)| + 使用[LSVT](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_ch/datasets.md#1icdar2019-lsvt)街景数据集共3w张数据，训练中文检测模型的相关配置和预训练文件如下： |模型|骨干网络|配置文件|预训练模型| -- GitLab