| EAST_clip_enhance_896_giou | 100.00% | 100.00% | 100.00% |
 SituTech_OCR | 100.00% | 100.00% | 100.00% |
| Ping An Property & Casualty Insurance Company | 100.00% | 100.00% | 100.00% |
| SCUT-DLVC-Lab-Refinement | 100.00% | 100.00% | 100.00% |
| GREAT-OCR Shanghai University | 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% |
| Samsung Life Insurance | 100.00% | 100.00% | 100.00% |
| NetEase OCR | 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% |
| Linklogis_BigData | 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% |
| 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% |
| Unet and Morphology Prediction | 100.00% | 97.22% | 98.59% |
| IFLYTEK-textDet_v3 | 100.00% | 97.22% | 98.59% |
| MCTPN2 | 100.00% | 97.22% | 98.59% |
| MDetector | 100.00% | 97.22% | 98.59% |
| base1 | 100.00% | 97.22% | 98.59% |
| base2 | 100.00% | 97.22% | 98.59% |
| base3 | 100.00% | 97.22% | 98.59% |
| Vsdnu | 97.14% | 100.00% | 98.55% |
| BOE_IOT_AIBD | 97.14% | 100.00% | 98.55% |
| A Text Localization Method Based on CTPN | 97.14% | 97.14% | 97.14% |
| H&H Lab | 97.14% | 97.14% | 97.14% |
| A Single-Shot Model for Robust Text Localization | 97.14% | 97.14% | 97.14% |
| CITlab Argus Textline Detection | 97.14% | 97.14% | 97.14% |
| EM_ocr | 97.14% | 97.14% | 97.14% |
| EfficientDet and EAST | 97.14% | 97.14% | 97.14% |
| BreSee OCR | 97.14% | 97.14% | 97.14% |
| EAST modified | 97.14% | 94.44% | 95.77% |
| Textline detection | 94.29% | 94.29% | 94.29% |
| HeReceipt-Rotation | 94.29% | 94.29% | 94.29% |
| ViTLP | 94.29% | 94.29% | 94.29% |
| SROIE Fourth Submission | 85.71% | 100.00% | 92.31% |
| test_1.7 | 91.43% | 88.89% | 90.14% |
| Pixellink multi-scale Detection | 88.57% | 88.57% | 88.57% |
| DR Team | 88.00% | 87.78% | 87.89% |
| test_1.6 | 88.57% | 86.11% | 87.32% |
| Yolov3_Autohome | 85.71% | 88.24% | 86.96% |
| BiLSTM Based on CTPN | 82.29% | 89.70% | 85.83% |
| ICA-IVA | 85.71% | 81.08% | 83.33% |
| base4 | 82.86% | 80.56% | 81.69% |
| test | 82.86% | 80.56% | 81.69% |
| Original CRAFT for SROIE | 77.14% | 78.82% | 77.97% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 75.43% | 78.33% | 76.85% |
| YOLO Text Detector | 75.43% | 75.56% | 75.49% |
| Improved yolov3 model | 65.71% | 76.67% | 70.77% |
| CTPN-SROIE | 64.57% | 75.63% | 69.66% |
| Receipt Info Extracting Task1 zone-dividing | 62.86% | 70.97% | 66.67% |
| Unet Segmentation and Watershed | 54.29% | 54.29% | 54.29% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 45.71% | 44.32% | 45.01% |
| scene text detection weapon | 28.57% | 40.00% | 33.33% |