| Linklogis_BigData | 100.00% | 98.39% | 99.19% |
| Sunshine_OCR | 100.00% | 98.33% | 99.16% |
| Linklogis_BeeAI | 99.67% | 97.78% | 98.72% |
 Ping An Property & Casualty Insurance Company | 98.36% | 98.36% | 98.36% |
| GREAT-OCR Shanghai University | 99.02% | 96.62% | 97.80% |
| SCUT-DLVC-Lab-Refinement | 98.03% | 96.19% | 97.10% |
| A modified CTPN model 1.0 | 96.39% | 97.70% | 97.04% |
| BreSee OCR | 93.44% | 100.00% | 96.61% |
| Gem AI - OCR Team | 99.67% | 93.33% | 96.40% |
| A modified CTPN model 2.0 | 96.72% | 95.16% | 95.93% |
| BOE_AIoT_CTO | 96.07% | 95.48% | 95.77% |
| NetEase OCR | 96.39% | 94.60% | 95.49% |
| SituTech_OCR | 98.36% | 92.31% | 95.24% |
| DR Team | 96.72% | 93.65% | 95.16% |
| MDetector | 96.72% | 93.22% | 94.94% |
| Samsung Life Insurance | 90.16% | 100.00% | 94.83% |
| Granville ocr | 94.75% | 94.52% | 94.63% |
| Pixellink multi-scale Detection | 95.08% | 93.55% | 94.31% |
| MCTPN2 | 91.80% | 96.36% | 94.03% |
| only PAN | 90.16% | 98.18% | 94.00% |
| A Text Localization Method Based on CTPN | 90.16% | 97.73% | 93.79% |
| CITlab Argus Textline Detection | 93.11% | 94.33% | 93.72% |
| A Single-Shot Model for Robust Text Localization | 89.84% | 97.36% | 93.45% |
| EM_ocr | 91.80% | 93.33% | 92.56% |
| 58CV | 90.16% | 94.74% | 92.39% |
| EAST_clip_enhance_896_giou | 88.52% | 96.43% | 92.31% |
| IFLYTEK-textDet_v3 | 88.52% | 96.30% | 92.25% |
| BOE_IOT_AIBD | 89.84% | 93.70% | 91.73% |
| Clova OCR | 89.18% | 93.11% | 91.11% |
| H&H Lab | 91.80% | 90.16% | 90.98% |
| SROIE Fourth Submission | 84.92% | 97.41% | 90.73% |
| 58 OCR100 | 93.11% | 88.44% | 90.72% |
| BiLSTM Based on CTPN | 86.89% | 93.75% | 90.19% |
| base4 | 93.44% | 86.36% | 89.76% |
| test | 93.44% | 86.36% | 89.76% |
| test_1.6 | 93.44% | 86.36% | 89.76% |
| test_1.7 | 93.44% | 86.36% | 89.76% |
| ViTLP | 88.52% | 88.52% | 88.52% |
| HeReceipt-Rotation | 89.84% | 86.88% | 88.33% |
| ICA-IVA | 86.56% | 87.46% | 87.01% |
| Unet Segmentation and Watershed | 85.25% | 88.24% | 86.71% |
| EfficientDet and EAST | 77.05% | 93.75% | 84.58% |
| EAST modified | 80.33% | 87.50% | 83.76% |
| Vsdnu | 78.69% | 88.89% | 83.48% |
| Improved yolov3 model | 77.70% | 76.62% | 77.16% |
| YOLO Text Detector | 64.26% | 78.40% | 70.63% |
| Yolov3_Autohome | 68.85% | 70.00% | 69.42% |
| Original CRAFT for SROIE | 69.51% | 63.85% | 66.56% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 62.95% | 66.32% | 64.59% |
| PhucPH | 59.02% | 61.02% | 60.00% |
| Textline detection | 45.90% | 78.26% | 57.86% |
| Unet and Morphology Prediction | 84.59% | 40.74% | 54.99% |
| scene text detection weapon | 37.05% | 57.86% | 45.17% |
| base1 | 94.75% | 21.47% | 35.00% |
| base2 | 94.75% | 21.47% | 35.00% |
| base3 | 94.75% | 21.47% | 35.00% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 40.00% | 29.58% | 34.01% |
| CTPN-SROIE | 19.67% | 68.75% | 30.59% |
| Receipt Info Extracting Task1 zone-dividing | 0.00% | 0.00% | 0.00% |