 Ping An Property & Casualty Insurance Company | 99.75% | 99.50% | 99.62% |
| GREAT-OCR Shanghai University | 99.75% | 99.50% | 99.62% |
| BOE_AIoT_CTO | 99.75% | 99.50% | 99.62% |
| Sunshine_OCR | 99.75% | 99.50% | 99.62% |
| Linklogis_BeeAI | 99.49% | 99.01% | 99.25% |
| SCUT-DLVC-Lab-Refinement | 98.48% | 99.49% | 98.98% |
| ViTLP | 98.73% | 98.73% | 98.73% |
| Samsung Life Insurance | 98.23% | 98.77% | 98.50% |
| NetEase OCR | 98.23% | 97.78% | 98.00% |
| Linklogis_BigData | 97.22% | 98.23% | 97.72% |
| BreSee OCR | 97.47% | 97.47% | 97.47% |
| SituTech_OCR | 97.47% | 97.44% | 97.45% |
| Clova OCR | 98.23% | 96.59% | 97.40% |
| Unet and Morphology Prediction | 96.96% | 97.69% | 97.33% |
| base4 | 97.22% | 97.00% | 97.11% |
| test | 97.22% | 97.00% | 97.11% |
| test_1.6 | 97.22% | 97.00% | 97.11% |
| test_1.7 | 97.22% | 97.00% | 97.11% |
| A modified CTPN model 2.0 | 95.95% | 98.21% | 97.06% |
| BOE_IOT_AIBD | 95.95% | 96.76% | 96.35% |
| A modified CTPN model 1.0 | 96.20% | 96.20% | 96.20% |
| only PAN | 93.16% | 98.95% | 95.97% |
| 58 OCR100 | 97.22% | 94.36% | 95.77% |
| HeReceipt-Rotation | 96.20% | 94.94% | 95.57% |
| Gem AI - OCR Team | 94.68% | 95.70% | 95.19% |
| 58CV | 93.42% | 96.62% | 94.99% |
| MDetector | 94.68% | 95.28% | 94.98% |
| IFLYTEK-textDet_v3 | 92.15% | 97.91% | 94.94% |
| CITlab Argus Textline Detection | 94.94% | 94.94% | 94.94% |
| MCTPN2 | 92.15% | 96.57% | 94.31% |
| H&H Lab | 93.42% | 93.25% | 93.33% |
| Pixellink multi-scale Detection | 93.16% | 91.71% | 92.43% |
| Textline detection | 88.61% | 96.00% | 92.16% |
| EAST_clip_enhance_896_giou | 88.61% | 95.83% | 92.08% |
| EAST modified | 88.61% | 95.83% | 92.08% |
| EM_ocr | 90.89% | 93.08% | 91.97% |
| A Single-Shot Model for Robust Text Localization | 88.35% | 95.41% | 91.74% |
| ICA-IVA | 89.87% | 92.75% | 91.29% |
| Vsdnu | 86.08% | 97.14% | 91.28% |
| SROIE Fourth Submission | 85.82% | 95.28% | 90.30% |
| EfficientDet and EAST | 88.10% | 92.47% | 90.23% |
| PhucPH | 91.14% | 89.33% | 90.23% |
| base1 | 88.35% | 91.69% | 89.99% |
| base2 | 88.35% | 91.69% | 89.99% |
| base3 | 88.35% | 91.69% | 89.99% |
| Granville ocr | 89.62% | 89.50% | 89.56% |
| A Text Localization Method Based on CTPN | 84.81% | 94.23% | 89.27% |
| BiLSTM Based on CTPN | 80.76% | 93.20% | 86.53% |
| DR Team | 81.77% | 82.75% | 82.26% |
| Unet Segmentation and Watershed | 81.77% | 80.73% | 81.25% |
| YOLO Text Detector | 80.00% | 80.00% | 80.00% |
| CTPN-SROIE | 68.10% | 83.91% | 75.18% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 70.38% | 74.93% | 72.58% |
| Improved yolov3 model | 63.80% | 68.57% | 66.10% |
| Yolov3_Autohome | 65.82% | 65.00% | 65.41% |
| Original CRAFT for SROIE | 61.27% | 62.57% | 61.91% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 37.47% | 35.81% | 36.62% |
| scene text detection weapon | 8.86% | 23.53% | 12.87% |
| Receipt Info Extracting Task1 zone-dividing | 0.00% | 0.00% | 0.00% |