- Task 1 - Character Recognition - Method: MixNet based on multiple classic CNN
- Method info
- Samples list
- Per sample details
Sample Ranking | Ground Truth | Detection |
---|---|---|
![]() | n | ī |
![]() | n | 0 |
![]() | n | I |
![]() | n | n |
![]() | n | 0 |
![]() | n | n |
![]() | n | n |
![]() | n | # |
![]() | n | n |
![]() | n | n |
![]() | n | n |
![]() | n | N |
![]() | n | n |
![]() | n | 0 |
![]() | n | N |
![]() | n | n |
![]() | n | n |
![]() | n | n |
![]() | n | n |
![]() | n | n |
![]() | n | 0 |
![]() | n | i |
![]() | n | n |
![]() | n | n |
test | n | n |
ATL Cangjie OCR | n | n |
CNNs-IFLYTEK | n | n |
My method | n | n |
Baseline | n | 1 |
Baseline | n | è |
Baseline | n | n |
Method | n | 0 |
DH_OCR | n | n |
UCR | n | n |