 SituTech_OCR | 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% |
| SROIE Fourth Submission | 100.00% | 100.00% | 100.00% |
| EM_ocr | 100.00% | 100.00% | 100.00% |
| EAST modified | 100.00% | 100.00% | 100.00% |
| Samsung Life Insurance | 100.00% | 100.00% | 100.00% |
| Linklogis_BigData | 100.00% | 100.00% | 100.00% |
| Gem AI - OCR Team | 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% |
| H&H Lab | 99.69% | 99.39% | 99.54% |
| BOE_AIoT_CTO | 99.69% | 99.39% | 99.54% |
| DR Team | 99.69% | 99.39% | 99.54% |
| Sunshine_OCR | 98.46% | 100.00% | 99.22% |
| GREAT-OCR Shanghai University | 99.38% | 98.81% | 99.09% |
| A Single-Shot Model for Robust Text Localization | 99.38% | 98.81% | 99.09% |
| Unet Segmentation and Watershed | 99.38% | 98.79% | 99.09% |
| only PAN | 98.15% | 99.38% | 98.77% |
| Pixellink multi-scale Detection | 98.46% | 98.46% | 98.46% |
| Granville ocr | 98.46% | 98.46% | 98.46% |
| A modified CTPN model 2.0 | 98.46% | 98.46% | 98.46% |
| ViTLP | 98.46% | 98.46% | 98.46% |
| MDetector | 98.46% | 98.44% | 98.45% |
| NetEase OCR | 96.92% | 100.00% | 98.44% |
| BiLSTM Based on CTPN | 98.46% | 98.28% | 98.37% |
| 58 OCR100 | 99.38% | 97.35% | 98.36% |
| EAST_clip_enhance_896_giou | 96.62% | 99.38% | 97.98% |
| Vsdnu | 96.92% | 98.44% | 97.67% |
| IFLYTEK-textDet_v3 | 96.92% | 98.39% | 97.65% |
| MCTPN2 | 96.31% | 97.27% | 96.79% |
| 58CV | 97.85% | 95.65% | 96.74% |
| Clova OCR | 97.23% | 96.23% | 96.73% |
| BOE_IOT_AIBD | 96.92% | 95.31% | 96.11% |
| A Text Localization Method Based on CTPN | 93.85% | 98.00% | 95.88% |
| CITlab Argus Textline Detection | 95.08% | 96.31% | 95.69% |
| Textline detection | 95.38% | 95.83% | 95.61% |
| base1 | 95.08% | 94.85% | 94.96% |
| base2 | 95.08% | 94.85% | 94.96% |
| base3 | 95.08% | 94.85% | 94.96% |
| EfficientDet and EAST | 92.31% | 96.77% | 94.49% |
| Unet and Morphology Prediction | 95.08% | 93.13% | 94.09% |
| ICA-IVA | 95.08% | 91.94% | 93.48% |
| Yolov3_Autohome | 92.31% | 92.31% | 92.31% |
| PhucPH | 96.62% | 88.33% | 92.29% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 93.85% | 89.23% | 91.48% |
| Improved yolov3 model | 87.38% | 94.19% | 90.66% |
| YOLO Text Detector | 80.00% | 80.00% | 80.00% |
| CTPN-SROIE | 78.15% | 80.45% | 79.29% |
| test_1.7 | 82.46% | 75.62% | 78.89% |
| test_1.6 | 80.92% | 74.25% | 77.44% |
| Original CRAFT for SROIE | 74.77% | 75.06% | 74.91% |
| base4 | 77.85% | 71.51% | 74.54% |
| test | 77.85% | 71.51% | 74.54% |
| scene text detection weapon | 62.46% | 83.00% | 71.28% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 62.46% | 63.97% | 63.21% |
| Receipt Info Extracting Task1 zone-dividing | 0.00% | 0.00% | 0.00% |