| BreSee OCR | 100.00% | 100.00% | 100.00% |
 A Single-Shot Model for Robust Text Localization | 100.00% | 98.08% | 99.03% |
| NetEase OCR | 97.89% | 99.30% | 98.59% |
| HeReceipt-Rotation | 97.89% | 99.27% | 98.58% |
| SCUT-DLVC-Lab-Refinement | 97.89% | 99.26% | 98.57% |
| GREAT-OCR Shanghai University | 97.89% | 99.25% | 98.57% |
| Clova OCR | 97.89% | 99.23% | 98.56% |
| Linklogis_BigData | 97.89% | 99.23% | 98.56% |
| MCTPN2 | 97.89% | 99.22% | 98.55% |
| Sunshine_OCR | 96.49% | 100.00% | 98.21% |
| A modified CTPN model 1.0 | 98.25% | 97.96% | 98.10% |
| EM_ocr | 96.14% | 99.25% | 97.67% |
| Ping An Property & Casualty Insurance Company | 96.14% | 99.22% | 97.65% |
| H&H Lab | 96.14% | 99.22% | 97.65% |
| only PAN | 96.14% | 99.22% | 97.65% |
| SituTech_OCR | 96.49% | 98.00% | 97.24% |
| BOE_AIoT_CTO | 95.79% | 98.49% | 97.12% |
| ViTLP | 96.14% | 97.54% | 96.84% |
| 58 OCR100 | 96.14% | 97.31% | 96.72% |
| Linklogis_BeeAI | 96.14% | 97.31% | 96.72% |
| BOE_IOT_AIBD | 92.98% | 100.00% | 96.36% |
| A modified CTPN model 2.0 | 96.49% | 96.00% | 96.24% |
| PhucPH | 95.79% | 96.54% | 96.16% |
| Unet and Morphology Prediction | 96.49% | 95.56% | 96.02% |
| EAST_clip_enhance_896_giou | 92.63% | 99.18% | 95.80% |
| EAST modified | 92.63% | 99.17% | 95.79% |
| DR Team | 94.39% | 95.71% | 95.05% |
| Granville ocr | 94.39% | 95.47% | 94.93% |
| SROIE Fourth Submission | 92.63% | 97.31% | 94.91% |
| Vsdnu | 92.63% | 97.25% | 94.89% |
| Gem AI - OCR Team | 94.39% | 95.38% | 94.88% |
| Samsung Life Insurance | 90.88% | 99.15% | 94.83% |
| ICA-IVA | 92.98% | 96.00% | 94.47% |
| MDetector | 92.98% | 95.92% | 94.43% |
| CITlab Argus Textline Detection | 92.63% | 95.38% | 93.99% |
| 58CV | 92.98% | 94.12% | 93.55% |
| IFLYTEK-textDet_v3 | 89.47% | 97.67% | 93.39% |
| Pixellink multi-scale Detection | 92.98% | 92.86% | 92.92% |
| test_1.7 | 90.88% | 91.15% | 91.02% |
| A Text Localization Method Based on CTPN | 82.46% | 100.00% | 90.38% |
| EfficientDet and EAST | 83.86% | 95.00% | 89.08% |
| Textline detection | 78.95% | 100.00% | 88.24% |
| BiLSTM Based on CTPN | 78.95% | 100.00% | 88.24% |
| CTPN-SROIE | 77.19% | 97.37% | 86.11% |
| base1 | 85.96% | 84.62% | 85.28% |
| base2 | 85.96% | 84.62% | 85.28% |
| base3 | 85.96% | 84.62% | 85.28% |
| test_1.6 | 83.86% | 83.46% | 83.66% |
| Yolov3_Autohome | 80.35% | 79.64% | 80.00% |
| YOLO Text Detector | 74.39% | 78.52% | 76.40% |
| base4 | 77.19% | 73.08% | 75.08% |
| test | 77.19% | 73.08% | 75.08% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 67.72% | 66.55% | 67.13% |
| Original CRAFT for SROIE | 69.47% | 62.39% | 65.74% |
| Improved yolov3 model | 63.86% | 67.55% | 65.65% |
| scene text detection weapon | 57.19% | 64.48% | 60.62% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 54.74% | 43.02% | 48.18% |
| Unet Segmentation and Watershed | 48.77% | 47.41% | 48.08% |
| Receipt Info Extracting Task1 zone-dividing | 24.56% | 36.84% | 29.47% |