 Textline detection | 98.04% | 100.00% | 99.01% |
| BreSee OCR | 97.65% | 99.22% | 98.43% |
| only PAN | 97.65% | 99.09% | 98.36% |
| Samsung Life Insurance | 96.08% | 100.00% | 98.00% |
| CITlab Argus Textline Detection | 95.69% | 99.09% | 97.36% |
| NetEase OCR | 95.29% | 98.43% | 96.84% |
| ViTLP | 95.29% | 98.43% | 96.84% |
| Ping An Property & Casualty Insurance Company | 95.29% | 98.30% | 96.77% |
| H&H Lab | 95.29% | 98.26% | 96.75% |
| Clova OCR | 95.29% | 98.26% | 96.75% |
| Gem AI - OCR Team | 95.29% | 98.26% | 96.75% |
| A Single-Shot Model for Robust Text Localization | 95.29% | 98.22% | 96.74% |
| 58 OCR100 | 95.29% | 98.22% | 96.74% |
| Linklogis_BeeAI | 95.29% | 98.22% | 96.74% |
| HeReceipt-Rotation | 95.29% | 98.14% | 96.70% |
| EAST modified | 93.73% | 99.09% | 96.33% |
| IFLYTEK-textDet_v3 | 93.73% | 99.02% | 96.30% |
| test_1.7 | 95.29% | 96.17% | 95.73% |
| GREAT-OCR Shanghai University | 95.29% | 96.09% | 95.69% |
| BiLSTM Based on CTPN | 93.33% | 98.00% | 95.61% |
| BOE_IOT_AIBD | 95.29% | 95.91% | 95.60% |
| MCTPN2 | 93.33% | 96.09% | 94.69% |
| SituTech_OCR | 91.37% | 98.14% | 94.64% |
| SCUT-DLVC-Lab-Refinement | 91.76% | 96.67% | 94.15% |
| test_1.6 | 93.33% | 94.04% | 93.69% |
| SROIE Fourth Submission | 91.37% | 96.09% | 93.67% |
| Vsdnu | 91.37% | 96.00% | 93.63% |
| Pixellink multi-scale Detection | 91.37% | 95.91% | 93.59% |
| base1 | 91.37% | 95.81% | 93.54% |
| base2 | 91.37% | 95.81% | 93.54% |
| base3 | 91.37% | 95.81% | 93.54% |
| A modified CTPN model 2.0 | 94.12% | 92.73% | 93.42% |
| BOE_AIoT_CTO | 89.41% | 95.91% | 92.55% |
| Sunshine_OCR | 87.84% | 97.02% | 92.20% |
| DR Team | 90.98% | 93.33% | 92.14% |
| base4 | 91.37% | 91.91% | 91.64% |
| test | 91.37% | 91.91% | 91.64% |
| Unet and Morphology Prediction | 93.73% | 87.78% | 90.65% |
| A Text Localization Method Based on CTPN | 88.24% | 91.89% | 90.03% |
| A modified CTPN model 1.0 | 91.37% | 87.20% | 89.24% |
| PhucPH | 89.80% | 88.51% | 89.15% |
| 58CV | 85.88% | 92.61% | 89.12% |
| Linklogis_BigData | 83.53% | 93.91% | 88.42% |
| EM_ocr | 88.24% | 87.50% | 87.87% |
| Unet Segmentation and Watershed | 87.45% | 84.40% | 85.90% |
| Yolov3_Autohome | 83.53% | 87.39% | 85.42% |
| EfficientDet and EAST | 72.55% | 97.30% | 83.12% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 82.35% | 83.87% | 83.11% |
| EAST_clip_enhance_896_giou | 73.73% | 93.17% | 82.32% |
| MDetector | 79.22% | 82.55% | 80.85% |
| Improved yolov3 model | 77.65% | 83.41% | 80.43% |
| YOLO Text Detector | 78.82% | 79.35% | 79.08% |
| Granville ocr | 71.37% | 82.55% | 76.56% |
| CTPN-SROIE | 72.94% | 77.95% | 75.36% |
| ICA-IVA | 75.29% | 73.46% | 74.37% |
| scene text detection weapon | 48.63% | 51.06% | 49.82% |
| Original CRAFT for SROIE | 54.12% | 28.11% | 37.00% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 35.29% | 14.40% | 20.45% |
| Receipt Info Extracting Task1 zone-dividing | 1.96% | 100.00% | 3.85% |