| Unet and Morphology Prediction | 100.00% | 100.00% | 100.00% |
 Ping An Property & Casualty Insurance Company | 100.00% | 100.00% | 100.00% |
| H&H Lab | 100.00% | 100.00% | 100.00% |
| GREAT-OCR Shanghai University | 100.00% | 100.00% | 100.00% |
| CITlab Argus Textline Detection | 100.00% | 100.00% | 100.00% |
| BOE_IOT_AIBD | 100.00% | 100.00% | 100.00% |
| Clova OCR | 100.00% | 100.00% | 100.00% |
| BOE_AIoT_CTO | 100.00% | 100.00% | 100.00% |
| only PAN | 100.00% | 100.00% | 100.00% |
| Samsung Life Insurance | 100.00% | 100.00% | 100.00% |
| MDetector | 100.00% | 100.00% | 100.00% |
| Sunshine_OCR | 100.00% | 100.00% | 100.00% |
| Linklogis_BigData | 100.00% | 100.00% | 100.00% |
| PhucPH | 100.00% | 100.00% | 100.00% |
| Granville ocr | 100.00% | 100.00% | 100.00% |
| BreSee OCR | 100.00% | 100.00% | 100.00% |
| A modified CTPN model 2.0 | 100.00% | 100.00% | 100.00% |
| IFLYTEK-textDet_v3 | 100.00% | 97.50% | 98.73% |
| EfficientDet and EAST | 97.44% | 100.00% | 98.70% |
| base1 | 97.44% | 100.00% | 98.70% |
| base2 | 97.44% | 100.00% | 98.70% |
| base3 | 97.44% | 100.00% | 98.70% |
| EAST_clip_enhance_896_giou | 97.44% | 97.44% | 97.44% |
| SituTech_OCR | 97.44% | 97.44% | 97.44% |
| SCUT-DLVC-Lab-Refinement | 97.44% | 97.44% | 97.44% |
| EM_ocr | 97.44% | 97.44% | 97.44% |
| NetEase OCR | 97.44% | 97.44% | 97.44% |
| 58CV | 97.44% | 97.44% | 97.44% |
| 58 OCR100 | 97.44% | 97.44% | 97.44% |
| base4 | 97.44% | 97.44% | 97.44% |
| test | 97.44% | 97.44% | 97.44% |
| test_1.6 | 97.44% | 97.44% | 97.44% |
| test_1.7 | 97.44% | 97.44% | 97.44% |
| Gem AI - OCR Team | 97.44% | 97.44% | 97.44% |
| Linklogis_BeeAI | 97.44% | 97.44% | 97.44% |
| A modified CTPN model 1.0 | 97.44% | 97.44% | 97.44% |
| Vsdnu | 94.87% | 100.00% | 97.37% |
| A Single-Shot Model for Robust Text Localization | 94.87% | 100.00% | 97.37% |
| EAST modified | 94.87% | 100.00% | 97.37% |
| DR Team | 94.87% | 94.87% | 94.87% |
| MCTPN2 | 94.87% | 92.50% | 93.67% |
| Textline detection | 92.31% | 94.74% | 93.51% |
| HeReceipt-Rotation | 92.31% | 92.31% | 92.31% |
| A Text Localization Method Based on CTPN | 89.74% | 92.11% | 90.91% |
| SROIE Fourth Submission | 82.05% | 100.00% | 90.14% |
| Pixellink multi-scale Detection | 89.74% | 89.74% | 89.74% |
| ViTLP | 89.74% | 89.74% | 89.74% |
| BiLSTM Based on CTPN | 82.05% | 94.12% | 87.67% |
| YOLO Text Detector | 77.95% | 80.00% | 78.96% |
| Yolov3_Autohome | 76.92% | 76.92% | 76.92% |
| Improved yolov3 model | 69.23% | 69.23% | 69.23% |
| ICA-IVA | 64.10% | 56.82% | 60.24% |
| Original CRAFT for SROIE | 61.54% | 57.26% | 59.32% |
| CTPN-SROIE | 47.69% | 69.66% | 56.62% |
| Unet Segmentation and Watershed | 53.85% | 53.85% | 53.85% |
| scene text detection weapon | 35.38% | 69.09% | 46.80% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 44.10% | 37.44% | 40.50% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 36.41% | 30.37% | 33.12% |
| Receipt Info Extracting Task1 zone-dividing | 0.00% | 0.00% | 0.00% |