| SSTD | 100.00% | 100.00% | 100.00% |
| Megvii-EAST | 100.00% | 100.00% | 100.00% |
| CCFLAB_v1 | 100.00% | 100.00% | 100.00% |
| Tencent-DPPR | 100.00% | 100.00% | 100.00% |
| dengdan_zju_cad | 100.00% | 100.00% | 100.00% |
| MultDet | 100.00% | 100.00% | 100.00% |
| CCFLAB_FTSN | 100.00% | 100.00% | 100.00% |
| cvte_zju_v2 | 100.00% | 100.00% | 100.00% |
| SenseTime V3 | 100.00% | 100.00% | 100.00% |
| PixelLink | 100.00% | 100.00% | 100.00% |
| DDR_v4 | 100.00% | 100.00% | 100.00% |
| FTDN-SJTU-v2 | 100.00% | 100.00% | 100.00% |
| blank_net_v1 | 100.00% | 100.00% | 100.00% |
| HIK_OCR_V1 | 100.00% | 100.00% | 100.00% |
| q | 100.00% | 100.00% | 100.00% |
| FOTS | 100.00% | 100.00% | 100.00% |
| Alibaba-PAI | 100.00% | 100.00% | 100.00% |
| east-modified | 100.00% | 100.00% | 100.00% |
| my_east_with_atrous | 100.00% | 100.00% | 100.00% |
| train twice | 100.00% | 100.00% | 100.00% |
| vm24 | 100.00% | 100.00% | 100.00% |
| PSENet_NJU_ImagineLab (single-scale) | 100.00% | 100.00% | 100.00% |
| SPCNet_TongJi & UESTC (single scale) | 100.00% | 100.00% | 100.00% |
| Baidu VIS v2 | 100.00% | 100.00% | 100.00% |
| BUPT ICYBEE | 100.00% | 100.00% | 100.00% |
| Pixel-Anchor(single scale) | 100.00% | 100.00% | 100.00% |
| Pixel-Anchor(Multiscale) | 100.00% | 100.00% | 100.00% |
| CRAFT | 100.00% | 100.00% | 100.00% |
| Shape-Aware Arbitrary Text Detector | 100.00% | 100.00% | 100.00% |
| SEG-PIXEL-PAN (single-scale) | 100.00% | 100.00% | 100.00% |
| Lanm | 100.00% | 100.00% | 100.00% |
| AFCTPN | 100.00% | 100.00% | 100.00% |
| CM-CV&AR | 100.00% | 100.00% | 100.00% |
| Eleme-AI | 100.00% | 100.00% | 100.00% |
| JDAI | 100.00% | 100.00% | 100.00% |
| TextFuseNet | 100.00% | 100.00% | 100.00% |
| RRPN++ (single scale) | 100.00% | 100.00% | 100.00% |
| DAL | 100.00% | 100.00% | 100.00% |
| DAL(multi-scale) | 100.00% | 100.00% | 100.00% |
| DCLNet | 100.00% | 100.00% | 100.00% |
| Huawei_GDE_AI | 100.00% | 100.00% | 100.00% |
| test | 100.00% | 100.00% | 100.00% |
| NVTextSpotter | 100.00% | 100.00% | 100.00% |
| CPN (multi-scale) | 100.00% | 100.00% | 100.00% |
| hust_orientedText | 100.00% | 90.00% | 94.74% |
| TsinghuaOCR | 100.00% | 90.00% | 94.74% |
| DDR_v2 | 100.00% | 90.00% | 94.74% |
| DDR_v3 | 100.00% | 90.00% | 94.74% |
| textDetection | 100.00% | 90.00% | 94.74% |
| exp3 | 100.00% | 90.00% | 94.74% |
| Baidu IDL v3 | 88.89% | 100.00% | 94.12% |
| TextBoxes++ | 88.89% | 100.00% | 94.12% |
| Dahua-OCR v1 | 88.89% | 100.00% | 94.12% |
| FTDN-SJTU | 88.89% | 100.00% | 94.12% |
| Dahua-OCR V3 | 88.89% | 100.00% | 94.12% |
| ICT | 88.89% | 100.00% | 94.12% |
| BJUT_FNIC | 88.89% | 100.00% | 94.12% |
| Alibaba-PAI | 88.89% | 100.00% | 94.12% |
| crpn | 88.89% | 100.00% | 94.12% |
| HoText_v0 | 88.89% | 100.00% | 94.12% |
| YY-tl_final | 88.89% | 100.00% | 94.12% |
| Alibaba-PAI V2 | 88.89% | 100.00% | 94.12% |
| EAST-VGG16 | 88.89% | 100.00% | 94.12% |
| stela | 88.89% | 100.00% | 94.12% |
| PyTorch re-implementation of EAST | 88.89% | 100.00% | 94.12% |
| MMLab-PolarMask++(Single Scale) | 88.89% | 100.00% | 94.12% |
| exp1 | 88.89% | 100.00% | 94.12% |
| knet1 | 100.00% | 81.82% | 90.00% |
| EAST reimplemention with resnet 50 | 100.00% | 81.82% | 90.00% |
| Huaibeicun TextDetector | 100.00% | 81.82% | 90.00% |
| exp4 | 100.00% | 81.82% | 90.00% |
| HUST_OrientedText | 88.89% | 88.89% | 88.89% |
| SCUT_DMP_v2 | 88.89% | 88.89% | 88.89% |
| RRPN-4 | 88.89% | 88.89% | 88.89% |
| SCUT_DMPNet_pro | 88.89% | 88.89% | 88.89% |
| knet0 | 88.89% | 88.89% | 88.89% |
| SegRPN | 88.89% | 88.89% | 88.89% |
| Baidu VIS | 88.89% | 88.89% | 88.89% |
| DDR_v1 | 88.89% | 88.89% | 88.89% |
| HappyCCL | 88.89% | 88.89% | 88.89% |
| erTree_mxFlow_sigleDir | 88.89% | 88.89% | 88.89% |
| fast_ret_sh_02 | 88.89% | 88.89% | 88.89% |
| ArtDet (single scale) | 88.89% | 88.89% | 88.89% |
| ArtDet | 88.89% | 88.89% | 88.89% |
| TH | 88.89% | 88.89% | 88.89% |
| east improved | 88.89% | 88.89% | 88.89% |
| Drew | 88.89% | 88.89% | 88.89% |
| another_segText | 88.89% | 88.89% | 88.89% |
| MSRA_v1 | 77.78% | 100.00% | 87.50% |
| SRC-B-MachineLearningLab-v3 | 77.78% | 100.00% | 87.50% |
| ITN_VGG | 77.78% | 100.00% | 87.50% |
| HoText_v1 | 77.78% | 100.00% | 87.50% |
| R-RetinaNet | 100.00% | 75.00% | 85.71% |
| CNN based model | 88.89% | 80.00% | 84.21% |
| NLPR-CASIA | 88.89% | 80.00% | 84.21% |
| R2CNN++ (single scale) | 88.89% | 80.00% | 84.21% |
| RESULTS | 88.89% | 80.00% | 84.21% |
| RRPN-3 | 77.78% | 87.50% | 82.35% |
| Sogou_MM | 77.78% | 87.50% | 82.35% |
 Stradvision-2 | 66.67% | 100.00% | 80.00% |
| Baidu IDL | 77.78% | 77.78% | 77.78% |
| SRC-B-MachineLearningLab-v2 | 77.78% | 77.78% | 77.78% |
| CCFLAB | 77.78% | 77.78% | 77.78% |
| CMVT_resNet | 77.78% | 77.78% | 77.78% |
| AJOU | 66.67% | 85.71% | 75.00% |
| SRC-B-MachineLearningLab | 66.67% | 85.71% | 75.00% |
| zju_cvte_seglink_512 | 66.67% | 85.71% | 75.00% |
| SCUT_DMPNet | 66.67% | 75.00% | 70.59% |
| YY-tl | 66.67% | 75.00% | 70.59% |
| YY_tl_v1 | 66.67% | 75.00% | 70.59% |
| HUST_MCLAB_VER1.0 | 55.56% | 83.33% | 66.67% |
| MCLAB_FCN | 66.67% | 66.67% | 66.67% |
| textbox | 55.56% | 83.33% | 66.67% |
| UCAS_CMVT3 | 66.67% | 66.67% | 66.67% |
| TextFCN V2 | 55.56% | 83.33% | 66.67% |
| rrpn example | 66.67% | 66.67% | 66.67% |
| std++(single-scale) | 66.67% | 66.67% | 66.67% |
| rrpn ssprpns | 77.78% | 53.85% | 63.64% |
| Megvii-Image++ | 66.67% | 60.00% | 63.16% |
| CASIA_USTB-Cascaded | 55.56% | 71.43% | 62.50% |
| HUST MCLAB (VER3.0) | 44.44% | 100.00% | 61.54% |
| Baidu IDL v2 | 66.67% | 54.55% | 60.00% |
| HUST_MCLAB_VER2.0 | 44.44% | 80.00% | 57.14% |
| HUST_MCLAB_VER.0 | 44.44% | 80.00% | 57.14% |
| resNet-32r-3dp | 66.67% | 50.00% | 57.14% |
| StradVision-1 | 55.56% | 55.56% | 55.56% |
| CTPN | 44.44% | 57.14% | 50.00% |
| psenet | 55.56% | 45.45% | 50.00% |
| Deep2Text-MO | 44.44% | 50.00% | 47.06% |
| zoomtext | 33.33% | 50.00% | 40.00% |
| CNN Proposal Based MSER | 33.33% | 42.86% | 37.50% |
| NJU_Text_Version5 | 33.33% | 27.27% | 30.00% |
| NJU_Text_Version4 | 22.22% | 28.57% | 25.00% |
| Full YOLO | 22.22% | 28.57% | 25.00% |
| TD-IMU | 22.22% | 25.00% | 23.53% |
| NJU_Text_Version1 | 22.22% | 22.22% | 22.22% |
| 111 | 11.11% | 16.67% | 13.33% |
| NJU Text (Version2) | 11.11% | 14.29% | 12.50% |
| 123 | 11.11% | 12.50% | 11.76% |
| NJU_Text_Version2 | 11.11% | 11.11% | 11.11% |
| 123456 | 11.11% | 9.09% | 10.00% |
| 2015_test_result_2000_2200_0.8 | 11.11% | 9.09% | 10.00% |
| Tiny YOLO | 11.11% | 8.33% | 9.52% |
| imagine | 0.00% | 0.00% | 0.00% |
| TextCatcher-2 (LRDE) | 0.00% | 0.00% | 0.00% |
| EPTN-SJTU | |
| CV_OCR_NOOB(single-scale) | |