 Textline detection | 100.00% | 100.00% | 100.00% |
| EAST_clip_enhance_896_giou | 100.00% | 100.00% | 100.00% |
| CTPN-SROIE | 100.00% | 100.00% | 100.00% |
| BiLSTM Based on CTPN | 100.00% | 100.00% | 100.00% |
| IFLYTEK-textDet_v3 | 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% |
| H&H Lab | 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% |
| CITlab Argus Textline Detection | 100.00% | 100.00% | 100.00% |
| SROIE Fourth Submission | 100.00% | 100.00% | 100.00% |
| BOE_IOT_AIBD | 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% |
| DR Team | 100.00% | 100.00% | 100.00% |
| Sunshine_OCR | 100.00% | 100.00% | 100.00% |
| PhucPH | 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 | 100.00% | 100.00% | 100.00% |
| MCTPN2 | 99.44% | 98.89% | 99.17% |
| BOE_AIoT_CTO | 99.44% | 98.89% | 99.17% |
| Vsdnu | 97.22% | 100.00% | 98.59% |
| EfficientDet and EAST | 97.22% | 100.00% | 98.59% |
| EAST modified | 97.22% | 100.00% | 98.59% |
| 58 OCR100 | 98.89% | 97.84% | 98.36% |
| Linklogis_BigData | 98.89% | 97.84% | 98.36% |
| HeReceipt-Rotation | 97.22% | 97.14% | 97.18% |
| A Single-Shot Model for Robust Text Localization | 97.22% | 97.14% | 97.18% |
| EM_ocr | 97.22% | 97.14% | 97.18% |
| Clova OCR | 97.22% | 97.14% | 97.18% |
| Granville ocr | 97.22% | 97.14% | 97.18% |
| NetEase OCR | 96.67% | 96.11% | 96.39% |
| ViTLP | 97.22% | 94.44% | 95.81% |
| Pixellink multi-scale Detection | 94.44% | 94.29% | 94.37% |
| Yolov3_Autohome | 91.67% | 96.97% | 94.24% |
| A Text Localization Method Based on CTPN | 94.44% | 93.10% | 93.77% |
| MDetector | 91.67% | 94.12% | 92.88% |
| ICA-IVA | 88.89% | 88.57% | 88.73% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 88.89% | 88.57% | 88.73% |
| base1 | 86.11% | 83.33% | 84.70% |
| base2 | 86.11% | 83.33% | 84.70% |
| base3 | 86.11% | 83.33% | 84.70% |
| Improved yolov3 model | 80.56% | 87.50% | 83.88% |
| YOLO Text Detector | 77.78% | 80.00% | 78.87% |
| test_1.7 | 81.11% | 74.04% | 77.42% |
| scene text detection weapon | 68.89% | 66.03% | 67.43% |
| test_1.6 | 66.11% | 52.34% | 58.43% |
| Original CRAFT for SROIE | 62.22% | 51.95% | 56.62% |
| base4 | 63.33% | 50.21% | 56.01% |
| test | 63.33% | 50.21% | 56.01% |
| Unet Segmentation and Watershed | 48.89% | 46.22% | 47.52% |
| Unet and Morphology Prediction | 54.44% | 39.62% | 45.87% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 13.33% | 7.89% | 9.91% |
| Receipt Info Extracting Task1 zone-dividing | 0.00% | 0.00% | 0.00% |