| Linklogis_BigData | 100.00% | 100.00% | 100.00% |
| BreSee OCR | 100.00% | 100.00% | 100.00% |
 SituTech_OCR | 97.44% | 97.44% | 97.44% |
| Ping An Property & Casualty Insurance Company | 97.44% | 97.44% | 97.44% |
| H&H Lab | 97.44% | 97.44% | 97.44% |
| HeReceipt-Rotation | 97.44% | 97.44% | 97.44% |
| SCUT-DLVC-Lab-Refinement | 97.44% | 97.44% | 97.44% |
| GREAT-OCR Shanghai University | 97.44% | 97.44% | 97.44% |
| A Single-Shot Model for Robust Text Localization | 97.44% | 97.44% | 97.44% |
| CITlab Argus Textline Detection | 97.44% | 97.44% | 97.44% |
| Clova OCR | 97.44% | 97.44% | 97.44% |
| BOE_AIoT_CTO | 97.44% | 97.44% | 97.44% |
| only PAN | 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% |
| Sunshine_OCR | 97.44% | 97.44% | 97.44% |
| PhucPH | 97.44% | 97.44% | 97.44% |
| Gem AI - OCR Team | 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 1.0 | 97.44% | 97.44% | 97.44% |
| A modified CTPN model 2.0 | 97.44% | 97.44% | 97.44% |
| ViTLP | 97.44% | 97.44% | 97.44% |
| Unet and Morphology Prediction | 97.44% | 95.00% | 96.20% |
| EAST_clip_enhance_896_giou | 94.87% | 97.37% | 96.10% |
| MDetector | 94.87% | 97.37% | 96.10% |
| EM_ocr | 94.87% | 94.87% | 94.87% |
| base1 | 94.87% | 94.87% | 94.87% |
| base2 | 94.87% | 94.87% | 94.87% |
| base3 | 94.87% | 94.87% | 94.87% |
| BOE_IOT_AIBD | 92.31% | 97.30% | 94.74% |
| EAST modified | 92.31% | 97.30% | 94.74% |
| Samsung Life Insurance | 89.74% | 100.00% | 94.59% |
| Vsdnu | 92.31% | 94.74% | 93.51% |
| Textline detection | 92.31% | 92.31% | 92.31% |
| IFLYTEK-textDet_v3 | 92.31% | 92.31% | 92.31% |
| DR Team | 92.31% | 92.31% | 92.31% |
| SROIE Fourth Submission | 87.18% | 97.14% | 91.89% |
| MCTPN2 | 92.31% | 90.00% | 91.14% |
| EfficientDet and EAST | 89.74% | 92.11% | 90.91% |
| Pixellink multi-scale Detection | 89.74% | 89.74% | 89.74% |
| A Text Localization Method Based on CTPN | 87.18% | 89.47% | 88.31% |
| base4 | 87.18% | 87.18% | 87.18% |
| test | 87.18% | 87.18% | 87.18% |
| test_1.6 | 87.18% | 87.18% | 87.18% |
| test_1.7 | 87.18% | 87.18% | 87.18% |
| BiLSTM Based on CTPN | 82.05% | 91.43% | 86.49% |
| Yolov3_Autohome | 84.62% | 84.62% | 84.62% |
| YOLO Text Detector | 73.85% | 77.84% | 75.79% |
| CTPN-SROIE | 64.10% | 75.76% | 69.44% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 69.23% | 68.85% | 69.04% |
| ICA-IVA | 69.23% | 67.50% | 68.35% |
| Original CRAFT for SROIE | 66.15% | 68.14% | 67.13% |
| Receipt Info Extracting Task1 zone-dividing | 46.15% | 88.89% | 60.76% |
| Improved yolov3 model | 56.41% | 62.86% | 59.46% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 44.10% | 44.74% | 44.42% |
| Unet Segmentation and Watershed | 43.59% | 43.59% | 43.59% |
| scene text detection weapon | 28.21% | 44.44% | 34.51% |