 SituTech_OCR | 100.00% | 100.00% | 100.00% |
| Ping An Property & Casualty Insurance Company | 100.00% | 100.00% | 100.00% |
| H&H Lab | 100.00% | 100.00% | 100.00% |
| SCUT-DLVC-Lab-Refinement | 100.00% | 100.00% | 100.00% |
| BOE_AIoT_CTO | 100.00% | 100.00% | 100.00% |
| only PAN | 100.00% | 100.00% | 100.00% |
| MDetector | 100.00% | 100.00% | 100.00% |
| Sunshine_OCR | 100.00% | 100.00% | 100.00% |
| base1 | 100.00% | 100.00% | 100.00% |
| base2 | 100.00% | 100.00% | 100.00% |
| base3 | 100.00% | 100.00% | 100.00% |
| Gem AI - OCR Team | 100.00% | 100.00% | 100.00% |
| Linklogis_BeeAI | 100.00% | 100.00% | 100.00% |
| A modified CTPN model 2.0 | 100.00% | 100.00% | 100.00% |
| Linklogis_BigData | 100.00% | 98.25% | 99.12% |
| CITlab Argus Textline Detection | 98.21% | 100.00% | 99.10% |
| MCTPN2 | 100.00% | 98.18% | 99.08% |
| BOE_IOT_AIBD | 100.00% | 98.18% | 99.08% |
| EM_ocr | 98.21% | 98.21% | 98.21% |
| NetEase OCR | 98.21% | 98.21% | 98.21% |
| A modified CTPN model 1.0 | 98.21% | 98.18% | 98.20% |
| PhucPH | 98.21% | 98.15% | 98.18% |
| GREAT-OCR Shanghai University | 97.86% | 97.54% | 97.70% |
| Samsung Life Insurance | 94.64% | 100.00% | 97.25% |
| BreSee OCR | 97.86% | 96.13% | 96.99% |
| Granville ocr | 96.43% | 96.43% | 96.43% |
| 58CV | 92.86% | 98.04% | 95.38% |
| Vsdnu | 91.07% | 100.00% | 95.33% |
| 58 OCR100 | 91.07% | 100.00% | 95.33% |
| HeReceipt-Rotation | 94.64% | 94.64% | 94.64% |
| test_1.7 | 94.64% | 94.64% | 94.64% |
| EAST_clip_enhance_896_giou | 89.29% | 100.00% | 94.34% |
| EAST modified | 89.29% | 100.00% | 94.34% |
| ICA-IVA | 89.29% | 97.96% | 93.42% |
| IFLYTEK-textDet_v3 | 89.29% | 97.96% | 93.42% |
| DR Team | 92.86% | 92.86% | 92.86% |
| ViTLP | 92.86% | 92.86% | 92.86% |
| A Single-Shot Model for Robust Text Localization | 85.71% | 100.00% | 92.31% |
| SROIE Fourth Submission | 85.71% | 100.00% | 92.31% |
| Clova OCR | 91.07% | 91.07% | 91.07% |
| A Text Localization Method Based on CTPN | 85.36% | 96.96% | 90.79% |
| Unet and Morphology Prediction | 89.29% | 92.31% | 90.77% |
| test_1.6 | 89.29% | 89.29% | 89.29% |
| EfficientDet and EAST | 82.14% | 93.88% | 87.62% |
| base4 | 87.50% | 87.50% | 87.50% |
| test | 87.50% | 87.50% | 87.50% |
| Textline detection | 80.36% | 95.56% | 87.30% |
| Pixellink multi-scale Detection | 85.71% | 87.04% | 86.37% |
| BiLSTM Based on CTPN | 76.79% | 93.02% | 84.13% |
| Yolov3_Autohome | 78.57% | 80.00% | 79.28% |
| YOLO Text Detector | 75.71% | 80.00% | 77.80% |
| CTPN-SROIE | 67.86% | 84.62% | 75.32% |
| Original CRAFT for SROIE | 61.79% | 66.24% | 63.93% |
| scene text detection weapon | 51.79% | 77.78% | 62.17% |
| Unet Segmentation and Watershed | 60.71% | 58.93% | 59.81% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 41.07% | 39.79% | 40.42% |
| Improved yolov3 model | 30.36% | 38.64% | 34.00% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 24.29% | 13.56% | 17.40% |
| Receipt Info Extracting Task1 zone-dividing | 0.00% | 0.00% | 0.00% |