SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition

Benchmark Model Rank Results
optical-character-recognition-on-benchmarking-chinese-text-recognitionSEED#6Accuracy (%): 61.2
scene-text-recognition-on-icdar2015-1-811-imagesSE-ASTER (extra data)#17Accuracy: 80.0
scene-text-recognition-on-icdar2015SEED#23Accuracy: 80
scene-text-recognition-on-icdar2013SEED#35Accuracy: 92.8
scene-text-recognition-on-svtpSE-ASTER (extra data)#40Accuracy: 81.4
scene-text-recognition-on-iiit5kSE-ASTER (extra data)#43Accuracy: 93.8
scene-text-recognition-on-cute80SE-ASTER (extra data)#44Accuracy: 83.6
scene-text-recognition-on-svtSEED#46Accuracy: 89.6