Convolutional Character Networks

Benchmark Model Rank Results
scene-text-detection-on-icdar-2015CharNet H-88 (multi-scale)#2F-Measure: 91.55Precision: 92.65Recall: 90.47
scene-text-detection-on-icdar-2015CharNet H-88 (single-scale)#3F-Measure: 90.97Precision: 89.99Recall: 91.98
scene-text-detection-on-icdar-2015CharNet H-50 (multi-scale)#4F-Measure: 90.16Precision: 90.9Recall: 89.44
scene-text-detection-on-icdar-2015CharNet H-57 (multi-scale)#6F-Measure: 90.06Precision: 91.43Recall: 88.74
scene-text-detection-on-icdar-2015CharNet H-50 (single-scale)#8F-Measure: 89.7Precision: 91.15Recall: 88.3
scene-text-detection-on-icdar-2015CharNet H-57 (single-scale)#9F-Measure: 89.66Precision: 88.88Recall: 90.45
scene-text-detection-on-icdar-2017-mlt-1CharNet H-88#5Precision: 81.27Recall: 70.97F-Measure: 75.77%
scene-text-detection-on-icdar-2017-mlt-1CharNet R-50#10Precision: 77.07Recall: 70.1F-Measure: 73.42%
scene-text-detection-on-total-textCharNet H-88 (multi-scale)#7F-Measure: 86.5%Precision: 88Recall: 85
scene-text-detection-on-total-textCharNet H-88#11F-Measure: 85.6%Precision: 89.9Recall: 81.7