 SituTech_OCR | 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% |
| A Single-Shot Model for Robust Text Localization | 100.00% | 100.00% | 100.00% |
| SROIE Fourth Submission | 100.00% | 100.00% | 100.00% |
| Samsung Life Insurance | 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% |
| 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% |
| ViTLP | 100.00% | 100.00% | 100.00% |
| GREAT-OCR Shanghai University | 99.62% | 99.25% | 99.43% |
| EM_ocr | 99.62% | 99.25% | 99.43% |
| IFLYTEK-textDet_v3 | 99.62% | 99.18% | 99.40% |
| Textline detection | 98.08% | 100.00% | 99.03% |
| EAST_clip_enhance_896_giou | 98.08% | 100.00% | 99.03% |
| A Text Localization Method Based on CTPN | 98.08% | 100.00% | 99.03% |
| BOE_IOT_AIBD | 98.08% | 100.00% | 99.03% |
| EAST modified | 98.08% | 100.00% | 99.03% |
| only PAN | 98.08% | 100.00% | 99.03% |
| 58 OCR100 | 99.62% | 97.41% | 98.50% |
| BOE_AIoT_CTO | 98.85% | 97.82% | 98.33% |
| MCTPN2 | 98.08% | 98.08% | 98.08% |
| MDetector | 98.08% | 98.08% | 98.08% |
| A modified CTPN model 2.0 | 98.08% | 98.08% | 98.08% |
| CITlab Argus Textline Detection | 96.15% | 100.00% | 98.04% |
| BiLSTM Based on CTPN | 98.08% | 97.87% | 97.97% |
| Clova OCR | 98.08% | 96.23% | 97.14% |
| Vsdnu | 96.15% | 98.04% | 97.09% |
| EfficientDet and EAST | 94.23% | 100.00% | 97.03% |
| NetEase OCR | 94.23% | 100.00% | 97.03% |
| Pixellink multi-scale Detection | 96.15% | 96.15% | 96.15% |
| 58CV | 95.77% | 95.19% | 95.48% |
| Yolov3_Autohome | 94.23% | 94.23% | 94.23% |
| Unet and Morphology Prediction | 95.77% | 88.77% | 92.14% |
| Unet Segmentation and Watershed | 90.38% | 90.38% | 90.38% |
| base1 | 90.38% | 90.38% | 90.38% |
| base2 | 90.38% | 90.38% | 90.38% |
| base3 | 90.38% | 90.38% | 90.38% |
| ICA-IVA | 91.92% | 88.36% | 90.11% |
| Improved yolov3 model | 86.54% | 88.00% | 87.26% |
| PhucPH | 91.92% | 82.37% | 86.89% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 89.62% | 84.29% | 86.87% |
| test_1.7 | 81.54% | 80.00% | 80.76% |
| YOLO Text Detector | 80.00% | 80.00% | 80.00% |
| Original CRAFT for SROIE | 77.69% | 74.00% | 75.80% |
| CTPN-SROIE | 72.69% | 78.46% | 75.47% |
| test_1.6 | 75.77% | 75.16% | 75.46% |
| base4 | 70.00% | 70.32% | 70.16% |
| test | 70.00% | 70.32% | 70.16% |
| scene text detection weapon | 56.15% | 64.08% | 59.86% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 61.92% | 52.78% | 56.99% |
| Receipt Info Extracting Task1 zone-dividing | 0.00% | 0.00% | 0.00% |