| Unet and Morphology Prediction | 100.00% | 100.00% | 100.00% |
 SituTech_OCR | 100.00% | 100.00% | 100.00% |
| HeReceipt-Rotation | 100.00% | 100.00% | 100.00% |
| SCUT-DLVC-Lab-Refinement | 100.00% | 100.00% | 100.00% |
| Clova OCR | 100.00% | 100.00% | 100.00% |
| BOE_AIoT_CTO | 100.00% | 100.00% | 100.00% |
| Samsung Life Insurance | 100.00% | 100.00% | 100.00% |
| NetEase OCR | 100.00% | 100.00% | 100.00% |
| 58CV | 100.00% | 100.00% | 100.00% |
| Sunshine_OCR | 100.00% | 100.00% | 100.00% |
| Linklogis_BigData | 100.00% | 100.00% | 100.00% |
| base4 | 100.00% | 100.00% | 100.00% |
| test | 100.00% | 100.00% | 100.00% |
| test_1.6 | 100.00% | 100.00% | 100.00% |
| test_1.7 | 100.00% | 100.00% | 100.00% |
| Gem AI - OCR Team | 100.00% | 100.00% | 100.00% |
| BreSee OCR | 100.00% | 100.00% | 100.00% |
| A modified CTPN model 1.0 | 100.00% | 100.00% | 100.00% |
| ViTLP | 100.00% | 100.00% | 100.00% |
| MCTPN2 | 100.00% | 97.50% | 98.73% |
| PhucPH | 100.00% | 97.50% | 98.73% |
| EAST_clip_enhance_896_giou | 97.44% | 100.00% | 98.70% |
| GREAT-OCR Shanghai University | 97.44% | 97.44% | 97.44% |
| only PAN | 97.44% | 97.44% | 97.44% |
| 58 OCR100 | 97.44% | 97.44% | 97.44% |
| Granville ocr | 97.44% | 97.44% | 97.44% |
| Linklogis_BeeAI | 97.44% | 97.44% | 97.44% |
| A modified CTPN model 2.0 | 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% |
| Ping An Property & Casualty Insurance Company | 97.44% | 95.00% | 96.20% |
| EfficientDet and EAST | 94.87% | 97.37% | 96.10% |
| EAST modified | 94.87% | 97.37% | 96.10% |
| CITlab Argus Textline Detection | 94.87% | 94.87% | 94.87% |
| MDetector | 94.87% | 94.87% | 94.87% |
| BOE_IOT_AIBD | 94.36% | 94.00% | 94.18% |
| IFLYTEK-textDet_v3 | 94.87% | 92.50% | 93.67% |
| H&H Lab | 92.31% | 92.31% | 92.31% |
| Unet Segmentation and Watershed | 92.31% | 92.31% | 92.31% |
| EM_ocr | 92.31% | 92.31% | 92.31% |
| base1 | 92.31% | 92.31% | 92.31% |
| base2 | 92.31% | 92.31% | 92.31% |
| base3 | 92.31% | 92.31% | 92.31% |
| A Text Localization Method Based on CTPN | 89.74% | 94.59% | 92.11% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 89.74% | 94.59% | 92.11% |
| SROIE Fourth Submission | 84.62% | 100.00% | 91.67% |
| Yolov3_Autohome | 89.74% | 92.11% | 90.91% |
| Pixellink multi-scale Detection | 87.18% | 87.18% | 87.18% |
| BiLSTM Based on CTPN | 84.62% | 89.19% | 86.84% |
| Receipt Info Extracting Task1 zone-dividing | 82.05% | 88.24% | 85.03% |
| DR Team | 84.10% | 84.00% | 84.05% |
| Textline detection | 82.05% | 82.05% | 82.05% |
| YOLO Text Detector | 80.00% | 80.00% | 80.00% |
| ICA-IVA | 82.05% | 76.19% | 79.01% |
| Improved yolov3 model | 76.92% | 81.08% | 78.95% |
| Original CRAFT for SROIE | 75.38% | 74.85% | 75.11% |
| CTPN-SROIE | 64.10% | 73.53% | 68.49% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 60.51% | 56.20% | 58.28% |
| scene text detection weapon | 23.08% | 40.00% | 29.27% |