diff --git a/configs/kie/kie_unet_sdmgr.yml b/configs/kie/kie_unet_sdmgr.yml
index a6968aaa3aa7a717a848416efc5ccc567f774b4d..0d20bd57e02b2197172f2ca410d5740305b2f799 100644
--- a/configs/kie/kie_unet_sdmgr.yml
+++ b/configs/kie/kie_unet_sdmgr.yml
@@ -54,6 +54,8 @@ PostProcess:
 Metric:
   name: KIEMetric
   main_indicator: hmean
+  # Classes that will be ignored while computing F1 score.
+  ignore_classes: [0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 25]
 
 Train:
   dataset:
diff --git a/ppocr/metrics/kie_metric.py b/ppocr/metrics/kie_metric.py
index 28ab22b807ffe4347ca95be5a44143539db4c97c..93e3d6fb57fbc9396f21f6b9b829911d3f528d3e 100644
--- a/ppocr/metrics/kie_metric.py
+++ b/ppocr/metrics/kie_metric.py
@@ -24,8 +24,12 @@ __all__ = ['KIEMetric']
 
 
 class KIEMetric(object):
-    def __init__(self, main_indicator='hmean', **kwargs):
+    def __init__(self,
+                 main_indicator='hmean',
+                 ignore_classes=[0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 25],
+                 **kwargs):
         self.main_indicator = main_indicator
+        self.ignore_classes = ignore_classes
         self.reset()
         self.node = []
         self.gt = []
@@ -40,7 +44,7 @@ class KIEMetric(object):
         # self.results.append(result)
 
     def compute_f1_score(self, preds, gts):
-        ignores = [0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 25]
+        ignores = self.ignore_classes
         C = preds.shape[1]
         classes = np.array(sorted(set(range(C)) - set(ignores)))
         hist = np.bincount(