| EAST_clip_enhance_896_giou | 100.00% | 100.00% | 100.00% |
 SCUT-DLVC-Lab-Refinement | 100.00% | 100.00% | 100.00% |
| SROIE Fourth Submission | 100.00% | 100.00% | 100.00% |
| EM_ocr | 100.00% | 100.00% | 100.00% |
| BOE_IOT_AIBD | 100.00% | 100.00% | 100.00% |
| EfficientDet and EAST | 100.00% | 100.00% | 100.00% |
| Samsung Life Insurance | 100.00% | 100.00% | 100.00% |
| DR Team | 100.00% | 100.00% | 100.00% |
| MDetector | 100.00% | 100.00% | 100.00% |
| Sunshine_OCR | 100.00% | 100.00% | 100.00% |
| PhucPH | 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% |
| A modified CTPN model 2.0 | 100.00% | 100.00% | 100.00% |
| Vsdnu | 98.11% | 100.00% | 99.05% |
| BiLSTM Based on CTPN | 98.11% | 100.00% | 99.05% |
| GREAT-OCR Shanghai University | 98.11% | 100.00% | 99.05% |
| NetEase OCR | 98.11% | 100.00% | 99.05% |
| Linklogis_BigData | 98.11% | 100.00% | 99.05% |
| Ping An Property & Casualty Insurance Company | 100.00% | 98.00% | 98.99% |
| Clova OCR | 100.00% | 98.00% | 98.99% |
| Unet and Morphology Prediction | 100.00% | 97.96% | 98.97% |
| ViTLP | 98.11% | 98.11% | 98.11% |
| HeReceipt-Rotation | 98.11% | 98.04% | 98.08% |
| A Single-Shot Model for Robust Text Localization | 98.11% | 98.04% | 98.08% |
| MCTPN2 | 98.11% | 98.00% | 98.06% |
| CITlab Argus Textline Detection | 98.11% | 98.00% | 98.06% |
| Pixellink multi-scale Detection | 98.11% | 97.96% | 98.04% |
| 58 OCR100 | 98.11% | 97.96% | 98.04% |
| Gem AI - OCR Team | 98.11% | 97.96% | 98.04% |
| Granville ocr | 98.11% | 97.96% | 98.04% |
| only PAN | 96.23% | 98.08% | 97.14% |
| SituTech_OCR | 94.34% | 100.00% | 97.09% |
| EAST modified | 94.34% | 100.00% | 97.09% |
| IFLYTEK-textDet_v3 | 96.23% | 97.83% | 97.02% |
| BOE_AIoT_CTO | 96.23% | 96.23% | 96.23% |
| Yolov3_Autohome | 94.34% | 95.92% | 95.12% |
| H&H Lab | 94.34% | 94.23% | 94.29% |
| 58CV | 98.11% | 90.57% | 94.19% |
| A Text Localization Method Based on CTPN | 90.57% | 97.83% | 94.06% |
| Textline detection | 92.45% | 95.65% | 94.03% |
| ICA-IVA | 94.34% | 92.45% | 93.39% |
| CTPN-SROIE | 88.68% | 95.45% | 91.94% |
| base1 | 92.45% | 86.54% | 89.40% |
| base2 | 92.45% | 86.54% | 89.40% |
| base3 | 92.45% | 86.54% | 89.40% |
| Improved yolov3 model | 84.91% | 88.24% | 86.54% |
| test_1.7 | 86.79% | 78.95% | 82.68% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 81.13% | 83.33% | 82.22% |
| YOLO Text Detector | 75.47% | 80.00% | 77.67% |
| base4 | 81.13% | 73.68% | 77.23% |
| test | 81.13% | 73.68% | 77.23% |
| test_1.6 | 81.13% | 73.68% | 77.23% |
| scene text detection weapon | 72.45% | 74.92% | 73.67% |
| Original CRAFT for SROIE | 72.08% | 68.29% | 70.13% |
| Receipt Info Extracting Task1 zone-dividing | 54.72% | 59.26% | 56.90% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 53.96% | 54.61% | 54.28% |
| Unet Segmentation and Watershed | 35.85% | 36.54% | 36.19% |