 H&H Lab | 100.00% | 100.00% | 100.00% |
| BreSee OCR | 100.00% | 100.00% | 100.00% |
| HeReceipt-Ensemble | 97.44% | 100.00% | 98.70% |
| DenseNet-Attention Recognition | 98.29% | 98.29% | 98.29% |
| 360DigiTech_AI_OCR | 98.29% | 98.29% | 98.29% |
| Samsung Life Insurance | 97.44% | 98.28% | 97.85% |
| Sun Bear | 97.44% | 98.28% | 97.85% |
| SCUT-DLVC-Lab-Lexicon | 97.44% | 97.44% | 97.44% |
| Sunshine_OCR | 97.44% | 97.44% | 97.44% |
| fff | 96.58% | 98.26% | 97.41% |
| Linklogis_BigData | 97.44% | 96.61% | 97.02% |
| Samsung Life Insurance | 96.58% | 97.41% | 97.00% |
| CLOVA OCR | 96.58% | 96.58% | 96.58% |
| Linklogis_BeeAI | 96.58% | 96.58% | 96.58% |
| CRNN after UNet Segmentation | 95.73% | 97.39% | 96.55% |
| CITlab Argus Text Recognition | 94.87% | 98.23% | 96.52% |
| Ping An Property & Casualty Insurance Company | 95.73% | 96.55% | 96.14% |
| Hanoi University of Science and Technology - MSOLab | 95.73% | 95.73% | 95.73% |
| Hanoi University of Science and Technology - MSOLab | 94.87% | 95.69% | 95.28% |
| hoainv | 94.87% | 95.69% | 95.28% |
| ViTLP | 93.16% | 96.46% | 94.78% |
| Sun Asterisk - AI Research | 94.02% | 94.83% | 94.42% |
| DR Team | 92.31% | 93.91% | 93.10% |
| Unet followed by CRNN with CTC | 94.87% | 90.98% | 92.89% |
| test | 91.45% | 92.24% | 91.85% |
| test1 | 88.03% | 93.64% | 90.75% |
| BOE_IOT_AIBD | 89.74% | 88.24% | 88.98% |
| IFLYTEK-textRec_v4 | 83.76% | 88.29% | 85.96% |
| Hust | 88.89% | 83.20% | 85.95% |
| GemAI - Use Resnet BiLSTM Attn | 81.20% | 90.48% | 85.59% |
| Attention based OCR | 83.76% | 82.35% | 83.05% |
| BiLstmCtcIgnoreSpaces-Segment | 81.20% | 80.51% | 80.85% |
| SituTech_OCR | 70.09% | 73.21% | 71.62% |
| ResNet_BiLSTM_Attention | 58.97% | 65.09% | 61.88% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 59.83% | 61.95% | 60.87% |
| CTPN_CRNN | 47.01% | 75.34% | 57.89% |
| BiLSTM+ctc | 34.19% | 60.61% | 43.72% |
| A Text Extraction Method Based on Modified CRNN | 25.64% | 69.77% | 37.50% |
| ICA-IVA | 23.08% | 49.09% | 31.40% |
| CRNN_Pytorch_BiCTC | 22.22% | 49.06% | 30.59% |
| VIL | 0.00% | 0.00% | 0.00% |
| Receipt Info Extracting Task2 letter-recognizing | 0.00% | 0.00% | 0.00% |
| CRNN_Autohome | 0.00% | 0.00% | 0.00% |
| Task 2 - Scanned Receipt OCR (Submitted by Intuit Inc.) | 0.00% | 0.00% | 0.00% |