| StradVision | 100.00% | 100.00% | 100.00% |
| MSER_Binary_CNN | 100.00% | 100.00% | 100.00% |
| SRC-B-TextProcessingLab | 100.00% | 100.00% | 100.00% |
| MCLAB_TextBoxes | 100.00% | 100.00% | 100.00% |
| RRPN-3 | 100.00% | 100.00% | 100.00% |
| Ali-Amap-xlab | 100.00% | 100.00% | 100.00% |
| CAS_HotEye | 100.00% | 100.00% | 100.00% |
| NLPR-CASIA | 100.00% | 100.00% | 100.00% |
| CTDN2 | 100.00% | 100.00% | 100.00% |
| Ali-Amap-xlab-v2 | 100.00% | 100.00% | 100.00% |
| MCLAB_TextBoxes_v2 | 100.00% | 100.00% | 100.00% |
| TsinghuaOCR | 100.00% | 100.00% | 100.00% |
| BUPT_NIRC_multi | 100.00% | 100.00% | 100.00% |
| BUPT_NIRC_multi | 100.00% | 100.00% | 100.00% |
| FCN based network for Text Detection | 100.00% | 100.00% | 100.00% |
| FPTD | 100.00% | 100.00% | 100.00% |
| P-SSD.v1 | 100.00% | 100.00% | 100.00% |
| MultDet | 100.00% | 100.00% | 100.00% |
| Sensetime line-level detection | 100.00% | 100.00% | 100.00% |
| TencentAILab | 100.00% | 100.00% | 100.00% |
| cvmt_allStepNoLkTree | 100.00% | 100.00% | 100.00% |
| cvmt_frm59 | 100.00% | 100.00% | 100.00% |
| NCSOFT VISION AI LAB | 100.00% | 100.00% | 100.00% |
| std(single-scale) | 100.00% | 100.00% | 100.00% |
| NCU_MSP | 100.00% | 100.00% | 100.00% |
| HIT | 100.00% | 100.00% | 100.00% |
| Craft++ | 100.00% | 100.00% | 100.00% |
| TextFuseNet | 100.00% | 100.00% | 100.00% |
| Hancom Vision | 100.00% | 100.00% | 100.00% |
| FENET | 100.00% | 100.00% | 100.00% |
| HBLAB-OCR | 100.00% | 100.00% | 100.00% |
 TH-TextLoc | 97.50% | 95.56% | 96.52% |
| Baidu IDL | 97.50% | 95.56% | 96.52% |
| SRC-B-MachineLearningLab | 97.50% | 95.56% | 96.52% |
| STDN-2 | 97.50% | 95.56% | 96.52% |
| CTDN-3-PN | 97.50% | 95.56% | 96.52% |
| RTN | 97.50% | 95.56% | 96.52% |
| CNN_Text | 97.50% | 95.56% | 96.52% |
| xmu403 | 97.50% | 95.56% | 96.52% |
| Cascade Filtering and Grouping | 97.50% | 95.56% | 96.52% |
| EPTN-SJTU | 97.50% | 95.56% | 96.52% |
| CVMT_frm62 | 97.50% | 95.56% | 96.52% |
| CRAFT | 97.50% | 95.56% | 96.52% |
| SSP-RPNs with Pytorch | 97.50% | 95.56% | 96.52% |
| CenterText(Single-scale) | 97.50% | 95.56% | 96.52% |
| Mask Textspotter | 97.50% | 95.56% | 96.52% |
| VARCO | 97.50% | 95.56% | 96.52% |
| NCU_MSP | 97.50% | 95.56% | 96.52% |
| SWT | 95.00% | 92.00% | 93.48% |
| BUCT_YST | 95.00% | 92.00% | 93.48% |
| SCUT-HCII | 95.00% | 92.00% | 93.48% |
| SCUT-HCII | 95.00% | 92.00% | 93.48% |
| CNN | 95.00% | 92.00% | 93.48% |
| FEN | 95.00% | 92.00% | 93.48% |
| FOTS | 95.00% | 92.00% | 93.48% |
| Ali-Amap-xlab-v4 | 95.00% | 92.00% | 93.48% |
| stela | 95.00% | 92.00% | 93.48% |
| CM-CV&AR | 95.00% | 92.00% | 93.48% |
| VARCO | 95.00% | 92.00% | 93.48% |
| ChinaUnicom-AI | 95.00% | 92.00% | 93.48% |
| TEST17 | 87.50% | 100.00% | 93.33% |
| Text-CNN | 87.50% | 100.00% | 93.33% |
| TextConv+WordGraph | 87.50% | 100.00% | 93.33% |
| TextConv+WordGraph | 87.50% | 100.00% | 93.33% |
| ACI | 87.50% | 100.00% | 93.33% |
| UMD_IntegratedDisrimination | 87.50% | 87.50% | 87.50% |
| HUST_MCLAB | 87.50% | 87.50% | 87.50% |
| VGGMaxNet_1.6 | 87.50% | 87.50% | 87.50% |
| VGGMaxNet_013 | 87.50% | 87.50% | 87.50% |
| VGGMaxNet_cmb | 87.50% | 87.50% | 87.50% |
| VGGMaxNet_025 | 87.50% | 87.50% | 87.50% |
| MCLAB_FCN | 87.50% | 87.50% | 87.50% |
| SenseTime | 87.50% | 87.50% | 87.50% |
| RRPN-4 | 87.50% | 87.50% | 87.50% |
| ssprpns | 87.50% | 87.50% | 87.50% |
| SRC-B-MachineLearningLab-v4 | 92.50% | 81.67% | 86.75% |
| TextSpotter | 75.00% | 100.00% | 85.71% |
| IWRR2014 | 75.00% | 100.00% | 85.71% |
| CASIA_USTB-Cascaded | 75.00% | 100.00% | 85.71% |
| CTPN | 75.00% | 100.00% | 85.71% |
| MSRA_v1 | 75.00% | 100.00% | 85.71% |
| Tencent Youtu | 75.00% | 100.00% | 85.71% |
| STDN | 75.00% | 100.00% | 85.71% |
| WeText | 75.00% | 100.00% | 85.71% |
| ConnLink | 75.00% | 100.00% | 85.71% |
| ConnLink_pre | 75.00% | 100.00% | 85.71% |
| Jack's TD | 75.00% | 100.00% | 85.71% |
| bupt | 75.00% | 100.00% | 85.71% |
| 123_0.927_1280_960 | 75.00% | 100.00% | 85.71% |
| 0.956_600_1000 | 75.00% | 100.00% | 85.71% |
| test | 75.00% | 100.00% | 85.71% |
| [BKU K15] | 75.00% | 100.00% | 85.71% |
| AFCTPN | 75.00% | 100.00% | 85.71% |
| CASIA_NLPR | 85.00% | 84.44% | 84.72% |
| Text_detector_CASIA | 85.00% | 84.44% | 84.72% |
| Baseline | 85.00% | 84.44% | 84.72% |
| BayesText | 85.00% | 84.44% | 84.72% |
| ZText | 85.00% | 84.44% | 84.72% |
| P-SSD.v1 | 100.00% | 72.73% | 84.21% |
| USTB_TexStar | 87.50% | 77.78% | 82.35% |
| ssd pretrain on synthtext and scut | 85.00% | 76.00% | 80.25% |
| fast_ret_sh_02 | 80.00% | 80.00% | 80.00% |
| VGGMaxNet_10 | 62.50% | 100.00% | 76.92% |
| 0.956_1280_960 | 62.50% | 100.00% | 76.92% |
| 11111 | 85.00% | 69.09% | 76.22% |
| crpn | 75.00% | 75.00% | 75.00% |
| RRPN R-50 model_final 20200327 | 75.00% | 75.00% | 75.00% |
| HappyCCL | 72.50% | 66.00% | 69.10% |
| crpn.v2 | 72.50% | 66.00% | 69.10% |
| Text Detection | 62.50% | 71.43% | 66.67% |
| MPT+Jar | 62.50% | 71.43% | 66.67% |
| TextFCN V2 | 75.00% | 60.00% | 66.67% |
| I2R_NUS | 67.50% | 65.00% | 66.23% |
| I2R_NUS_FAR | 67.50% | 65.00% | 66.23% |
| (๑•̀ㅂ•́)و✧ | 72.50% | 60.00% | 65.66% |
| MSERs | 75.00% | 57.14% | 64.86% |
| MSER with LocalSWT | 50.00% | 80.00% | 61.54% |
| DetectText | 60.00% | 62.22% | 61.09% |
| MSER | 37.50% | 75.00% | 50.00% |
| Inkam | 37.50% | 50.00% | 42.86% |
| SPCNet_TongJi & UESTC (single scale) | |
| Unicamp-SRBR-v1 | |
| Unicamp-SRBR-v2 | |
| Unicamp-SRBR-v3 | |