 Textline detection | 100.00% | 100.00% | 100.00% |
| EAST_clip_enhance_896_giou | 100.00% | 100.00% | 100.00% |
| BiLSTM Based on CTPN | 100.00% | 100.00% | 100.00% |
| Unet and Morphology Prediction | 100.00% | 100.00% | 100.00% |
| A Text Localization Method Based on CTPN | 100.00% | 100.00% | 100.00% |
| IFLYTEK-textDet_v3 | 100.00% | 100.00% | 100.00% |
| Pixellink multi-scale Detection | 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% |
| HeReceipt-Rotation | 100.00% | 100.00% | 100.00% |
| SCUT-DLVC-Lab-Refinement | 100.00% | 100.00% | 100.00% |
| BOE_IOT_AIBD | 100.00% | 100.00% | 100.00% |
| Clova OCR | 100.00% | 100.00% | 100.00% |
| Samsung Life Insurance | 100.00% | 100.00% | 100.00% |
| 58CV | 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% |
| Gem AI - OCR Team | 100.00% | 100.00% | 100.00% |
| BreSee OCR | 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% |
| GREAT-OCR Shanghai University | 99.68% | 99.38% | 99.53% |
| CITlab Argus Textline Detection | 99.68% | 99.38% | 99.53% |
| EM_ocr | 99.68% | 99.38% | 99.53% |
| only PAN | 99.68% | 99.38% | 99.53% |
| Linklogis_BigData | 99.68% | 99.38% | 99.53% |
| Granville ocr | 99.68% | 99.38% | 99.53% |
| Linklogis_BeeAI | 99.68% | 99.38% | 99.53% |
| 58 OCR100 | 99.68% | 99.08% | 99.38% |
| SituTech_OCR | 98.41% | 100.00% | 99.20% |
| BOE_AIoT_CTO | 99.37% | 98.77% | 99.07% |
| SROIE Fourth Submission | 98.41% | 98.41% | 98.41% |
| EfficientDet and EAST | 98.41% | 98.41% | 98.41% |
| EAST modified | 98.41% | 98.41% | 98.41% |
| ViTLP | 98.41% | 98.41% | 98.41% |
| DR Team | 98.10% | 97.81% | 97.95% |
| NetEase OCR | 98.41% | 96.88% | 97.64% |
| CTPN-SROIE | 96.83% | 97.92% | 97.37% |
| ICA-IVA | 96.51% | 96.25% | 96.38% |
| Improved yolov3 model | 94.60% | 97.10% | 95.83% |
| Vsdnu | 95.24% | 95.24% | 95.24% |
| A Single-Shot Model for Robust Text Localization | 95.24% | 95.24% | 95.24% |
| Yolov3_Autohome | 92.06% | 90.63% | 91.34% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 88.89% | 88.89% | 88.89% |
| MCTPN2 | 87.62% | 87.16% | 87.39% |
| test_1.7 | 88.57% | 85.76% | 87.14% |
| base1 | 87.30% | 84.62% | 85.94% |
| base2 | 87.30% | 84.62% | 85.94% |
| base3 | 87.30% | 84.62% | 85.94% |
| test_1.6 | 83.81% | 81.21% | 82.49% |
| scene text detection weapon | 81.27% | 82.22% | 81.74% |
| Receipt Info Extracting Task1 zone-dividing | 88.89% | 75.00% | 81.36% |
| YOLO Text Detector | 78.73% | 80.00% | 79.36% |
| Original CRAFT for SROIE | 80.00% | 76.34% | 78.13% |
| base4 | 75.87% | 73.64% | 74.74% |
| test | 75.87% | 73.64% | 74.74% |
| Unet Segmentation and Watershed | 68.25% | 65.63% | 66.91% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 51.43% | 35.52% | 42.02% |