 Textline detection | 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% |
| 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% |
| 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% |
| EM_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% |
| 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% |
| A modified CTPN model 2.0 | 99.60% | 99.18% | 99.39% |
| NetEase OCR | 98.00% | 100.00% | 98.99% |
| HeReceipt-Rotation | 98.00% | 98.00% | 98.00% |
| Clova OCR | 98.00% | 98.00% | 98.00% |
| PhucPH | 98.00% | 98.00% | 98.00% |
| ICA-IVA | 98.00% | 97.87% | 97.94% |
| BOE_IOT_AIBD | 99.20% | 96.47% | 97.82% |
| MDetector | 99.60% | 95.20% | 97.35% |
| SROIE Fourth Submission | 96.00% | 96.00% | 96.00% |
| Granville ocr | 96.00% | 96.00% | 96.00% |
| A Single-Shot Model for Robust Text Localization | 96.00% | 95.92% | 95.96% |
| EAST_clip_enhance_896_giou | 92.00% | 97.87% | 94.85% |
| SituTech_OCR | 94.00% | 95.65% | 94.82% |
| A Text Localization Method Based on CTPN | 96.00% | 92.31% | 94.12% |
| CTPN-SROIE | 94.00% | 92.31% | 93.15% |
| Yolov3_Autohome | 92.00% | 92.00% | 92.00% |
| test_1.7 | 88.00% | 88.00% | 88.00% |
| EAST modified | 86.00% | 89.58% | 87.76% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 85.60% | 89.79% | 87.64% |
| scene text detection weapon | 86.00% | 88.71% | 87.33% |
| Vsdnu | 86.00% | 87.23% | 86.61% |
| ViTLP | 86.00% | 86.00% | 86.00% |
| test_1.6 | 84.00% | 84.00% | 84.00% |
| base1 | 84.00% | 83.67% | 83.84% |
| base2 | 84.00% | 83.67% | 83.84% |
| base3 | 84.00% | 83.67% | 83.84% |
| Improved yolov3 model | 78.00% | 82.98% | 80.41% |
| base4 | 80.00% | 80.00% | 80.00% |
| test | 80.00% | 80.00% | 80.00% |
| YOLO Text Detector | 78.40% | 80.00% | 79.19% |
| Original CRAFT for SROIE | 78.00% | 70.00% | 73.78% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 62.00% | 45.63% | 52.57% |
| Receipt Info Extracting Task1 zone-dividing | 69.20% | 38.40% | 49.39% |
| Unet Segmentation and Watershed | 32.00% | 29.09% | 30.48% |