| TextConv+WordGraph | 100.00% | 100.00% | 100.00% |
| TextConv+WordGraph | 100.00% | 100.00% | 100.00% |
| (๑•̀ㅂ•́)و✧ | 100.00% | 100.00% | 100.00% |
| FEN | 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% |
| FOTS | 100.00% | 100.00% | 100.00% |
| HappyCCL | 100.00% | 100.00% | 100.00% |
| CRAFT | 100.00% | 100.00% | 100.00% |
| NCSOFT VISION AI LAB | 100.00% | 100.00% | 100.00% |
| Mask Textspotter | 100.00% | 100.00% | 100.00% |
| stela | 100.00% | 100.00% | 100.00% |
| NCU_MSP | 100.00% | 100.00% | 100.00% |
| HIT | 100.00% | 100.00% | 100.00% |
| Hancom Vision | 100.00% | 100.00% | 100.00% |
| VARCO | 100.00% | 100.00% | 100.00% |
| NCU_MSP | 100.00% | 100.00% | 100.00% |
| TsinghuaOCR | 98.57% | 97.33% | 97.95% |
| SRC-B-MachineLearningLab-v4 | 98.57% | 97.33% | 97.95% |
| cvmt_allStepNoLkTree | 98.57% | 97.33% | 97.95% |
| CenterText(Single-scale) | 98.57% | 97.33% | 97.95% |
| CM-CV&AR | 98.57% | 97.33% | 97.95% |
| ChinaUnicom-AI | 98.57% | 97.33% | 97.95% |
| CVMT_frm62 | 98.57% | 96.25% | 97.40% |
| VARCO | 100.00% | 93.33% | 96.55% |
| TextFuseNet | 100.00% | 93.33% | 96.55% |
| CASIA_USTB-Cascaded | 92.86% | 100.00% | 96.30% |
| STDN-2 | 92.86% | 100.00% | 96.30% |
| EPTN-SJTU | 92.86% | 100.00% | 96.30% |
| Craft++ | 92.86% | 100.00% | 96.30% |
| crpn.v2 | 97.14% | 94.12% | 95.61% |
| Baidu IDL | 91.43% | 97.14% | 94.20% |
| SCUT-HCII | 92.86% | 92.86% | 92.86% |
| MCLAB_TextBoxes | 92.86% | 92.86% | 92.86% |
| Ali-Amap-xlab | 92.86% | 92.86% | 92.86% |
| Ali-Amap-xlab-v2 | 92.86% | 92.86% | 92.86% |
| MCLAB_TextBoxes_v2 | 92.86% | 92.86% | 92.86% |
| RTN | 92.86% | 92.86% | 92.86% |
| SSP-RPNs with Pytorch | 92.86% | 92.86% | 92.86% |
| IWRR2014 | 85.71% | 100.00% | 92.31% |
| MSRA_v1 | 85.71% | 100.00% | 92.31% |
| CAS_HotEye | 85.71% | 100.00% | 92.31% |
| CTDN2 | 85.71% | 100.00% | 92.31% |
| CTDN-3-PN | 85.71% | 100.00% | 92.31% |
| cvmt_frm59 | 94.29% | 89.52% | 91.84% |
| SWT | 84.29% | 96.92% | 90.16% |
| MCLAB_FCN | 78.57% | 100.00% | 88.00% |
| SRC-B-TextProcessingLab | 78.57% | 100.00% | 88.00% |
| NLPR-CASIA | 78.57% | 100.00% | 88.00% |
| 11111 | 78.57% | 100.00% | 88.00% |
| STDN | 85.71% | 85.71% | 85.71% |
| std(single-scale) | 85.71% | 85.71% | 85.71% |
| RRPN-4 | 78.57% | 91.67% | 84.62% |
| RRPN-3 | 71.43% | 100.00% | 83.33% |
| WeText | 71.43% | 100.00% | 83.33% |
| crpn | 91.43% | 75.56% | 82.74% |
| P-SSD.v1 | 82.86% | 82.50% | 82.68% |
| Text-CNN | 78.57% | 84.62% | 81.48% |
| SenseTime | 78.57% | 84.62% | 81.48% |
| RRPN R-50 model_final 20200327 | 78.57% | 84.62% | 81.48% |
| HUST_MCLAB | 71.43% | 90.91% | 80.00% |
| SRC-B-MachineLearningLab | 71.43% | 90.91% | 80.00% |
| xmu403 | 71.43% | 90.91% | 80.00% |
| BUPT_NIRC_multi | 71.43% | 90.91% | 80.00% |
| BUPT_NIRC_multi | 71.43% | 90.91% | 80.00% |
| Ali-Amap-xlab-v4 | 71.43% | 90.91% | 80.00% |
| 0.956_1280_960 | 71.43% | 90.91% | 80.00% |
| SCUT-HCII | 77.14% | 82.86% | 79.90% |
| CNN_Text | 74.29% | 85.00% | 79.28% |
| TextFCN V2 | 78.57% | 78.57% | 78.57% |
| HBLAB-OCR | 64.29% | 100.00% | 78.26% |
| FPTD | 71.43% | 83.33% | 76.92% |
| 123_0.927_1280_960 | 71.43% | 83.33% | 76.92% |
 CASIA_NLPR | 64.29% | 90.00% | 75.00% |
| MSER_Binary_CNN | 71.43% | 76.92% | 74.07% |
| VGGMaxNet_1.6 | 57.14% | 100.00% | 72.73% |
| VGGMaxNet_013 | 57.14% | 100.00% | 72.73% |
| VGGMaxNet_cmb | 57.14% | 100.00% | 72.73% |
| VGGMaxNet_025 | 57.14% | 100.00% | 72.73% |
| BUCT_YST | 64.29% | 81.82% | 72.00% |
| Tencent Youtu | 64.29% | 81.82% | 72.00% |
| ssprpns | 71.43% | 71.43% | 71.43% |
| ACI | 64.29% | 75.00% | 69.23% |
| TextSpotter | 55.71% | 86.00% | 67.62% |
| Text_detector_CASIA | 57.14% | 80.00% | 66.67% |
| TEST17 | 57.14% | 80.00% | 66.67% |
| ConnLink | 50.00% | 100.00% | 66.67% |
| ConnLink_pre | 50.00% | 100.00% | 66.67% |
| test | 50.00% | 100.00% | 66.67% |
| StradVision | 55.71% | 78.18% | 65.06% |
| TH-TextLoc | 48.57% | 95.00% | 64.28% |
| Cascade Filtering and Grouping | 50.00% | 87.50% | 63.64% |
| fast_ret_sh_02 | 50.00% | 87.50% | 63.64% |
| Text Detection | 50.00% | 77.78% | 60.87% |
| CTPN | 42.86% | 100.00% | 60.00% |
| Jack's TD | 42.86% | 100.00% | 60.00% |
| bupt | 42.86% | 100.00% | 60.00% |
| FENET | 42.86% | 100.00% | 60.00% |
| [BKU K15] | 57.14% | 61.54% | 59.26% |
| USTB_TexStar | 42.86% | 85.71% | 57.14% |
| BayesText | 42.86% | 85.71% | 57.14% |
| DetectText | 42.86% | 85.71% | 57.14% |
| ZText | 42.86% | 85.71% | 57.14% |
| MPT+Jar | 42.86% | 85.71% | 57.14% |
| AFCTPN | 42.86% | 85.71% | 57.14% |
| UMD_IntegratedDisrimination | 35.71% | 100.00% | 52.63% |
| VGGMaxNet_10 | 35.71% | 100.00% | 52.63% |
| FCN based network for Text Detection | 35.71% | 100.00% | 52.63% |
| I2R_NUS_FAR | 42.86% | 66.67% | 52.17% |
| 0.956_600_1000 | 42.86% | 66.67% | 52.17% |
| Inkam | 42.86% | 60.00% | 50.00% |
| I2R_NUS | 35.71% | 62.50% | 45.45% |
| ssd pretrain on synthtext and scut | 42.86% | 40.00% | 41.38% |
| CNN | 41.43% | 35.65% | 38.32% |
| P-SSD.v1 | 25.71% | 57.78% | 35.59% |
| Baseline | 0.00% | 0.00% | 0.00% |
| MSERs | 0.00% | 0.00% | 0.00% |
| MSER | 0.00% | 0.00% | 0.00% |
| MSER with LocalSWT | 0.00% | 0.00% | 0.00% |
| SPCNet_TongJi & UESTC (single scale) | |
| Unicamp-SRBR-v1 | |
| Unicamp-SRBR-v2 | |
| Unicamp-SRBR-v3 | |