| CNN based model | 100.00% | 100.00% | 100.00% |
| NLPR-CASIA | 100.00% | 100.00% | 100.00% |
| SRC-B-MachineLearningLab-v3 | 100.00% | 100.00% | 100.00% |
| FTDN-SJTU-v2 | 100.00% | 100.00% | 100.00% |
| HappyCCL | 100.00% | 100.00% | 100.00% |
| Alibaba-PAI | 100.00% | 100.00% | 100.00% |
| textDetection | 100.00% | 100.00% | 100.00% |
| SPCNet_TongJi & UESTC (single scale) | 100.00% | 100.00% | 100.00% |
| BUPT ICYBEE | 100.00% | 100.00% | 100.00% |
| Pixel-Anchor(single scale) | 100.00% | 100.00% | 100.00% |
| Alibaba-PAI V2 | 100.00% | 100.00% | 100.00% |
| CRAFT | 100.00% | 100.00% | 100.00% |
| EAST-VGG16 | 100.00% | 100.00% | 100.00% |
| ArtDet (single scale) | 100.00% | 100.00% | 100.00% |
| ArtDet | 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% |
| TH | 100.00% | 100.00% | 100.00% |
| MMLab-PolarMask++(Single Scale) | 100.00% | 100.00% | 100.00% |
| RRPN++ (single scale) | 100.00% | 100.00% | 100.00% |
| DCLNet | 100.00% | 100.00% | 100.00% |
| NVTextSpotter | 100.00% | 100.00% | 100.00% |
| R-RetinaNet | 100.00% | 93.75% | 96.77% |
| Drew | 100.00% | 93.75% | 96.77% |
| Baidu VIS | 93.33% | 100.00% | 96.55% |
| HIK_OCR_V1 | 93.33% | 100.00% | 96.55% |
| crpn | 93.33% | 100.00% | 96.55% |
| FOTS | 93.33% | 100.00% | 96.55% |
| Baidu VIS v2 | 93.33% | 100.00% | 96.55% |
| YY-tl_final | 93.33% | 100.00% | 96.55% |
| Shape-Aware Arbitrary Text Detector | 93.33% | 100.00% | 96.55% |
| SEG-PIXEL-PAN (single-scale) | 93.33% | 100.00% | 96.55% |
| SCUT_DMP_v2 | 93.33% | 93.33% | 93.33% |
| Tencent-DPPR | 93.33% | 93.33% | 93.33% |
| zju_cvte_seglink_512 | 93.33% | 93.33% | 93.33% |
| Dahua-OCR V3 | 93.33% | 93.33% | 93.33% |
| blank_net_v1 | 93.33% | 93.33% | 93.33% |
| Sogou_MM | 93.33% | 93.33% | 93.33% |
| Pixel-Anchor(Multiscale) | 93.33% | 93.33% | 93.33% |
| Lanm | 93.33% | 93.33% | 93.33% |
| test | 93.33% | 93.33% | 93.33% |
| cvte_zju_v2 | 86.67% | 100.00% | 92.86% |
| PSENet_NJU_ImagineLab (single-scale) | 86.67% | 100.00% | 92.86% |
| TextFuseNet | 86.67% | 100.00% | 92.86% |
| DAL | 86.67% | 100.00% | 92.86% |
| DAL(multi-scale) | 86.67% | 100.00% | 92.86% |
| Megvii-EAST | 100.00% | 83.33% | 90.91% |
| knet1 | 100.00% | 83.33% | 90.91% |
| q | 93.33% | 87.50% | 90.32% |
| hust_orientedText | 86.67% | 92.86% | 89.66% |
| SSTD | 86.67% | 92.86% | 89.66% |
| SRC-B-MachineLearningLab-v2 | 86.67% | 92.86% | 89.66% |
| TextBoxes++ | 86.67% | 92.86% | 89.66% |
| SenseTime V3 | 86.67% | 92.86% | 89.66% |
| Alibaba-PAI | 86.67% | 92.86% | 89.66% |
| east improved | 86.67% | 92.86% | 89.66% |
| CTPN | 80.00% | 100.00% | 88.89% |
| PixelLink | 80.00% | 100.00% | 88.89% |
| Baidu IDL v3 | 86.67% | 86.67% | 86.67% |
| CCFLAB_FTSN | 86.67% | 86.67% | 86.67% |
| train twice | 86.67% | 86.67% | 86.67% |
| R2CNN++ (single scale) | 86.67% | 86.67% | 86.67% |
| MSRA_v1 | 80.00% | 92.31% | 85.71% |
| FTDN-SJTU | 80.00% | 92.31% | 85.71% |
| HoText_v0 | 80.00% | 92.31% | 85.71% |
| PyTorch re-implementation of EAST | 80.00% | 92.31% | 85.71% |
| SCUT_DMPNet_pro | 93.33% | 77.78% | 84.85% |
| HoText_v1 | 73.33% | 100.00% | 84.62% |
| HUST_OrientedText | 86.67% | 81.25% | 83.87% |
| RRPN-4 | 80.00% | 85.71% | 82.76% |
| dengdan_zju_cad | 80.00% | 85.71% | 82.76% |
| EAST reimplemention with resnet 50 | 80.00% | 85.71% | 82.76% |
| Dahua-OCR v1 | 80.00% | 85.71% | 82.76% |
| Huaibeicun TextDetector | 80.00% | 85.71% | 82.76% |
| MultDet | 73.33% | 91.67% | 81.48% |
| Huawei_GDE_AI | 73.33% | 91.67% | 81.48% |
| knet0 | 80.00% | 80.00% | 80.00% |
| UCAS_CMVT3 | 80.00% | 80.00% | 80.00% |
| ITN_VGG | 80.00% | 80.00% | 80.00% |
| east-modified | 73.33% | 84.62% | 78.57% |
| CCFLAB_v1 | 66.67% | 90.91% | 76.92% |
| DDR_v4 | 66.67% | 90.91% | 76.92% |
| stela | 66.67% | 90.91% | 76.92% |
| SCUT_DMPNet | 73.33% | 78.57% | 75.86% |
| ICT | 73.33% | 78.57% | 75.86% |
| vm24 | 73.33% | 78.57% | 75.86% |
| YY-tl | 73.33% | 78.57% | 75.86% |
| AFCTPN | 73.33% | 78.57% | 75.86% |
| RESULTS | 73.33% | 78.57% | 75.86% |
| CCFLAB | 60.00% | 100.00% | 75.00% |
| DDR_v3 | 66.67% | 83.33% | 74.07% |
| TsinghuaOCR | 73.33% | 73.33% | 73.33% |
| Baidu IDL v2 | 80.00% | 66.67% | 72.73% |
| BJUT_FNIC | 66.67% | 76.92% | 71.43% |
| my_east_with_atrous | 66.67% | 76.92% | 71.43% |
| YY_tl_v1 | 53.33% | 100.00% | 69.57% |
| RRPN-3 | 60.00% | 81.82% | 69.23% |
| SegRPN | 60.00% | 81.82% | 69.23% |
| DDR_v2 | 66.67% | 71.43% | 68.97% |
| SRC-B-MachineLearningLab | 60.00% | 75.00% | 66.67% |
| DDR_v1 | 66.67% | 62.50% | 64.52% |
| Baidu IDL | 60.00% | 69.23% | 64.29% |
| Megvii-Image++ | 53.33% | 72.73% | 61.54% |
| another_segText | 53.33% | 72.73% | 61.54% |
| exp4 | 53.33% | 66.67% | 59.26% |
 AJOU | 46.67% | 77.78% | 58.33% |
| fast_ret_sh_02 | 46.67% | 70.00% | 56.00% |
| std++(single-scale) | 46.67% | 63.64% | 53.85% |
| exp1 | 46.67% | 63.64% | 53.85% |
| exp3 | 46.67% | 63.64% | 53.85% |
| resNet-32r-3dp | 46.67% | 53.85% | 50.00% |
| CMVT_resNet | 40.00% | 60.00% | 48.00% |
| HUST_MCLAB_VER1.0 | 33.33% | 83.33% | 47.62% |
| HUST_MCLAB_VER2.0 | 33.33% | 83.33% | 47.62% |
| HUST_MCLAB_VER.0 | 33.33% | 83.33% | 47.62% |
| erTree_mxFlow_sigleDir | 46.67% | 46.67% | 46.67% |
| MCLAB_FCN | 33.33% | 71.43% | 45.45% |
| psenet | 46.67% | 41.18% | 43.75% |
| Stradvision-2 | 26.67% | 100.00% | 42.11% |
| CNN Proposal Based MSER | 33.33% | 45.45% | 38.46% |
| rrpn ssprpns | 33.33% | 45.45% | 38.46% |
| rrpn example | 33.33% | 41.67% | 37.04% |
| NJU Text (Version2) | 26.67% | 57.14% | 36.36% |
| 111 | 26.67% | 50.00% | 34.78% |
| 123 | 26.67% | 50.00% | 34.78% |
| 2015_test_result_2000_2200_0.8 | 26.67% | 44.44% | 33.33% |
| CASIA_USTB-Cascaded | 20.00% | 75.00% | 31.58% |
| NJU_Text_Version2 | 26.67% | 36.36% | 30.77% |
| HUST MCLAB (VER3.0) | 20.00% | 60.00% | 30.00% |
| zoomtext | 13.33% | 100.00% | 23.53% |
| TextCatcher-2 (LRDE) | 20.00% | 27.27% | 23.08% |
| TextFCN V2 | 13.33% | 66.67% | 22.22% |
| Deep2Text-MO | 13.33% | 50.00% | 21.05% |
| textbox | 13.33% | 50.00% | 21.05% |
| StradVision-1 | 13.33% | 40.00% | 20.00% |
| TD-IMU | 13.33% | 40.00% | 20.00% |
| NJU_Text_Version1 | 13.33% | 33.33% | 19.05% |
| 123456 | 13.33% | 22.22% | 16.67% |
| NJU_Text_Version4 | 6.67% | 25.00% | 10.53% |
| Full YOLO | 6.67% | 25.00% | 10.53% |
| Tiny YOLO | 6.67% | 9.09% | 7.69% |
| NJU_Text_Version5 | 6.67% | 7.14% | 6.90% |
| imagine | 0.00% | 0.00% | 0.00% |
| EPTN-SJTU | |
| CV_OCR_NOOB(single-scale) | |