| EAST_clip_enhance_896_giou | 100.00% | 100.00% | 100.00% |
 Ping An Property & Casualty Insurance Company | 100.00% | 100.00% | 100.00% |
| HeReceipt-Rotation | 100.00% | 100.00% | 100.00% |
| SCUT-DLVC-Lab-Refinement | 100.00% | 100.00% | 100.00% |
| MCTPN2 | 100.00% | 100.00% | 100.00% |
| EM_ocr | 100.00% | 100.00% | 100.00% |
| BOE_IOT_AIBD | 100.00% | 100.00% | 100.00% |
| Clova OCR | 100.00% | 100.00% | 100.00% |
| BOE_AIoT_CTO | 100.00% | 100.00% | 100.00% |
| only PAN | 100.00% | 100.00% | 100.00% |
| 58CV | 100.00% | 100.00% | 100.00% |
| 58 OCR100 | 100.00% | 100.00% | 100.00% |
| Sunshine_OCR | 100.00% | 100.00% | 100.00% |
| PhucPH | 100.00% | 100.00% | 100.00% |
| Gem AI - OCR Team | 100.00% | 100.00% | 100.00% |
| Granville ocr | 100.00% | 100.00% | 100.00% |
| BreSee OCR | 100.00% | 100.00% | 100.00% |
| Linklogis_BeeAI | 100.00% | 100.00% | 100.00% |
| A modified CTPN model 1.0 | 100.00% | 100.00% | 100.00% |
| ViTLP | 100.00% | 100.00% | 100.00% |
| DR Team | 99.39% | 98.82% | 99.11% |
| H&H Lab | 100.00% | 97.06% | 98.51% |
| NetEase OCR | 100.00% | 97.06% | 98.51% |
| EAST modified | 96.97% | 100.00% | 98.46% |
| Samsung Life Insurance | 96.97% | 100.00% | 98.46% |
| Yolov3_Autohome | 96.36% | 98.79% | 97.56% |
| A modified CTPN model 2.0 | 98.79% | 96.32% | 97.54% |
| Pixellink multi-scale Detection | 100.00% | 94.29% | 97.06% |
| A Single-Shot Model for Robust Text Localization | 100.00% | 94.29% | 97.06% |
| SituTech_OCR | 96.97% | 96.97% | 96.97% |
| Vsdnu | 93.94% | 100.00% | 96.88% |
| BiLSTM Based on CTPN | 93.94% | 100.00% | 96.88% |
| IFLYTEK-textDet_v3 | 93.94% | 100.00% | 96.88% |
| SROIE Fourth Submission | 93.94% | 100.00% | 96.88% |
| Linklogis_BigData | 95.76% | 97.65% | 96.69% |
| base4 | 99.39% | 93.33% | 96.27% |
| test | 99.39% | 93.33% | 96.27% |
| test_1.6 | 99.39% | 93.33% | 96.27% |
| test_1.7 | 99.39% | 93.33% | 96.27% |
| GREAT-OCR Shanghai University | 96.36% | 95.43% | 95.89% |
| A Text Localization Method Based on CTPN | 90.91% | 100.00% | 95.24% |
| CITlab Argus Textline Detection | 93.94% | 93.94% | 93.94% |
| CTPN-SROIE | 90.91% | 96.30% | 93.53% |
| Textline detection | 87.88% | 92.59% | 90.17% |
| MDetector | 96.97% | 84.21% | 90.14% |
| Improved yolov3 model | 81.21% | 89.03% | 84.94% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 75.76% | 91.67% | 82.96% |
| EfficientDet and EAST | 78.79% | 86.67% | 82.54% |
| base1 | 90.91% | 73.17% | 81.08% |
| base2 | 90.91% | 73.17% | 81.08% |
| base3 | 90.91% | 73.17% | 81.08% |
| YOLO Text Detector | 80.00% | 75.43% | 77.65% |
| Unet Segmentation and Watershed | 78.18% | 66.49% | 71.86% |
| ICA-IVA | 60.61% | 45.45% | 51.95% |
| Original CRAFT for SROIE | 56.36% | 42.31% | 48.33% |
| scene text detection weapon | 24.24% | 50.00% | 32.65% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 25.45% | 14.59% | 18.55% |
| Unet and Morphology Prediction | 8.48% | 8.18% | 8.33% |
| Receipt Info Extracting Task1 zone-dividing | 0.00% | 0.00% | 0.00% |