diff --git a/doc/doc_ch/algorithm_overview.md b/doc/doc_ch/algorithm_overview.md index 4963709950288ed8fb2a3814e8d717c93b2d8189..ed556ed9c9e11483b1ba4954f0a2e44219e8219a 100755 --- a/doc/doc_ch/algorithm_overview.md +++ b/doc/doc_ch/algorithm_overview.md @@ -32,6 +32,7 @@ PaddleOCR将**持续新增**支持OCR领域前沿算法与模型,**欢迎广 - [x] [PSENet](./algorithm_det_psenet.md) - [x] [FCENet](./algorithm_det_fcenet.md) - [x] [DRRG](./algorithm_det_drrg.md) +- [x] [CT](./algorithm_det_ct.md) 在ICDAR2015文本检测公开数据集上,算法效果如下: @@ -51,6 +52,7 @@ PaddleOCR将**持续新增**支持OCR领域前沿算法与模型,**欢迎广 |模型|骨干网络|precision|recall|Hmean|下载链接| | --- | --- | --- | --- | --- | --- | |SAST|ResNet50_vd|89.63%|78.44%|83.66%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_sast_totaltext_v2.0_train.tar)| +|CT|ResNet18_vd|88.68%|81.70%|85.05%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r18_ct_train.tar)| 在CTW1500文本检测公开数据集上,算法效果如下: diff --git a/doc/doc_en/algorithm_overview_en.md b/doc/doc_en/algorithm_overview_en.md index 8fe2a35a8365b15c3a4a33a9ddf8eb999decd443..2e25746dc071f25d4c17cabd6fb5fdcb85f4615d 100755 --- a/doc/doc_en/algorithm_overview_en.md +++ b/doc/doc_en/algorithm_overview_en.md @@ -30,6 +30,7 @@ Supported text detection algorithms (Click the link to get the tutorial): - [x] [PSENet](./algorithm_det_psenet_en.md) - [x] [FCENet](./algorithm_det_fcenet_en.md) - [x] [DRRG](./algorithm_det_drrg_en.md) +- [x] [CT](./algorithm_det_ct_en.md) On the ICDAR2015 dataset, the text detection result is as follows: @@ -49,6 +50,7 @@ On Total-Text dataset, the text detection result is as follows: |Model|Backbone|Precision|Recall|Hmean|Download link| | --- | --- | --- | --- | --- | --- | |SAST|ResNet50_vd|89.63%|78.44%|83.66%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_sast_totaltext_v2.0_train.tar)| +|CT|ResNet18_vd|88.68%|81.70%|85.05%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r18_ct_train.tar)| On CTW1500 dataset, the text detection result is as follows: