| EAST_clip_enhance_896_giou | 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% |
| MCTPN2 | 100.00% | 100.00% | 100.00% |
| GREAT-OCR Shanghai University | 100.00% | 100.00% | 100.00% |
| CITlab Argus Textline Detection | 100.00% | 100.00% | 100.00% |
| SROIE Fourth Submission | 100.00% | 100.00% | 100.00% |
| EM_ocr | 100.00% | 100.00% | 100.00% |
| Clova OCR | 100.00% | 100.00% | 100.00% |
| EfficientDet and EAST | 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% |
| 58CV | 100.00% | 100.00% | 100.00% |
| 58 OCR100 | 100.00% | 100.00% | 100.00% |
| DR Team | 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% |
| Granville ocr | 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% |
| ViTLP | 100.00% | 100.00% | 100.00% |
| MDetector | 99.57% | 99.15% | 99.36% |
| SituTech_OCR | 100.00% | 97.87% | 98.92% |
| A Single-Shot Model for Robust Text Localization | 100.00% | 97.87% | 98.92% |
| EAST modified | 97.83% | 100.00% | 98.90% |
| NetEase OCR | 97.83% | 100.00% | 98.90% |
| Gem AI - OCR Team | 100.00% | 95.83% | 97.87% |
| ICA-IVA | 97.83% | 97.83% | 97.83% |
| IFLYTEK-textDet_v3 | 97.83% | 97.78% | 97.80% |
| BiLSTM Based on CTPN | 100.00% | 95.56% | 97.73% |
| BOE_IOT_AIBD | 97.83% | 95.65% | 96.73% |
| Vsdnu | 95.65% | 95.65% | 95.65% |
| Unet and Morphology Prediction | 96.96% | 94.29% | 95.60% |
| Textline detection | 95.65% | 94.87% | 95.26% |
| CTPN-SROIE | 93.48% | 94.59% | 94.03% |
| Improved yolov3 model | 91.30% | 91.30% | 91.30% |
| Yolov3_Autohome | 91.30% | 91.30% | 91.30% |
| test_1.7 | 93.48% | 86.00% | 89.58% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 81.74% | 97.95% | 89.11% |
| test_1.6 | 91.30% | 84.00% | 87.50% |
| base1 | 89.13% | 85.42% | 87.23% |
| base2 | 89.13% | 85.42% | 87.23% |
| base3 | 89.13% | 85.42% | 87.23% |
| A Text Localization Method Based on CTPN | 84.78% | 89.47% | 87.07% |
| Original CRAFT for SROIE | 86.52% | 81.51% | 83.94% |
| YOLO Text Detector | 80.00% | 80.00% | 80.00% |
| base4 | 82.61% | 76.00% | 79.17% |
| test | 82.61% | 76.00% | 79.17% |
| scene text detection weapon | 67.83% | 81.46% | 74.02% |
| Unet Segmentation and Watershed | 65.22% | 65.22% | 65.22% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 67.83% | 54.25% | 60.28% |
| Receipt Info Extracting Task1 zone-dividing | 65.22% | 37.04% | 47.24% |