| BOE_AIoT_CTO | 100.00% | 100.00% | 100.00% |
| NetEase OCR | 100.00% | 100.00% | 100.00% |
| A modified CTPN model 2.0 | 100.00% | 100.00% | 100.00% |
 SCUT-DLVC-Lab-Refinement | 100.00% | 98.46% | 99.22% |
| GREAT-OCR Shanghai University | 100.00% | 98.46% | 99.22% |
| Clova OCR | 100.00% | 98.46% | 99.22% |
| Linklogis_BigData | 100.00% | 98.46% | 99.22% |
| EM_ocr | 98.44% | 100.00% | 99.21% |
| Ping An Property & Casualty Insurance Company | 99.38% | 98.79% | 99.08% |
| Samsung Life Insurance | 99.38% | 98.79% | 99.08% |
| SituTech_OCR | 100.00% | 96.97% | 98.46% |
| MCTPN2 | 98.44% | 98.44% | 98.44% |
| only PAN | 98.44% | 98.44% | 98.44% |
| Linklogis_BeeAI | 98.44% | 98.44% | 98.44% |
| SROIE Fourth Submission | 96.88% | 100.00% | 98.41% |
| 58 OCR100 | 98.13% | 97.81% | 97.97% |
| Sunshine_OCR | 98.44% | 96.88% | 97.65% |
| EAST_clip_enhance_896_giou | 96.88% | 98.41% | 97.64% |
| EAST modified | 96.88% | 98.41% | 97.64% |
| BreSee OCR | 96.88% | 98.41% | 97.64% |
| A Single-Shot Model for Robust Text Localization | 96.88% | 98.39% | 97.63% |
| Unet and Morphology Prediction | 96.88% | 98.36% | 97.61% |
| IFLYTEK-textDet_v3 | 95.31% | 100.00% | 97.60% |
| A modified CTPN model 1.0 | 96.88% | 96.88% | 96.88% |
| 58CV | 96.88% | 96.83% | 96.85% |
| Vsdnu | 95.31% | 98.39% | 96.83% |
| MDetector | 96.88% | 96.77% | 96.82% |
| HeReceipt-Rotation | 96.88% | 95.38% | 96.12% |
| EfficientDet and EAST | 93.75% | 98.36% | 96.00% |
| CITlab Argus Textline Detection | 95.31% | 95.31% | 95.31% |
| ViTLP | 95.31% | 95.31% | 95.31% |
| PhucPH | 95.31% | 95.24% | 95.28% |
| test_1.7 | 95.31% | 93.85% | 94.57% |
| Gem AI - OCR Team | 95.31% | 93.85% | 94.57% |
| Granville ocr | 95.31% | 93.85% | 94.57% |
| H&H Lab | 93.75% | 93.75% | 93.75% |
| BOE_IOT_AIBD | 93.75% | 93.33% | 93.54% |
| base4 | 93.75% | 92.31% | 93.02% |
| test | 93.75% | 92.31% | 93.02% |
| test_1.6 | 93.75% | 92.31% | 93.02% |
| base1 | 92.19% | 92.19% | 92.19% |
| base2 | 92.19% | 92.19% | 92.19% |
| base3 | 92.19% | 92.19% | 92.19% |
| Textline detection | 89.06% | 90.91% | 89.98% |
| Pixellink multi-scale Detection | 89.06% | 89.06% | 89.06% |
| BiLSTM Based on CTPN | 84.38% | 91.89% | 87.97% |
| Yolov3_Autohome | 87.50% | 87.50% | 87.50% |
| A Text Localization Method Based on CTPN | 84.38% | 82.22% | 83.28% |
| Unet Segmentation and Watershed | 82.81% | 82.54% | 82.68% |
| DR Team | 82.81% | 80.30% | 81.54% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 80.31% | 79.38% | 79.84% |
| ICA-IVA | 79.69% | 77.78% | 78.72% |
| YOLO Text Detector | 77.50% | 77.54% | 77.52% |
| Original CRAFT for SROIE | 70.94% | 68.89% | 69.90% |
| Improved yolov3 model | 64.06% | 68.33% | 66.13% |
| Receipt Info Extracting Task1 zone-dividing | 59.38% | 70.59% | 64.50% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 68.13% | 59.62% | 63.59% |
| CTPN-SROIE | 48.13% | 68.67% | 56.59% |
| scene text detection weapon | 10.63% | 32.86% | 16.06% |