diff --git a/tf_trt_models/detection.py b/tf_trt_models/detection.py
index 88a1263..76d2305 100644
--- a/tf_trt_models/detection.py
+++ b/tf_trt_models/detection.py
@@ -4,6 +4,7 @@
 import os
 import tarfile
 import subprocess
+import warnings
 
 from google.protobuf import text_format
 
@@ -86,7 +87,7 @@ def download_detection_model(model, output_dir='.'):
 
     return config_path, checkpoint_path
 
-def build_detection_graph(config, checkpoint):
+def build_detection_graph(config, checkpoint, score_threshold=0.3):
     """Build an object detection model from the TensorFlow model zoo.
 
     This function creates an object detection model, sourced from the
@@ -112,6 +113,8 @@ def build_detection_graph(config, checkpoint):
     :type config: string
     :param checkpoint: path to the checkpoint files prefix containing trained model params
     :type checkpoint: string
+    :score_threshold: NonMaxSuppression score_threshold (default 0.3)
+    :type score_threshold: float
     :returns: the configured frozen graph representing object detection model
     :rtype: a tensorflow GraphDef
     """
@@ -123,6 +126,13 @@ def build_detection_graph(config, checkpoint):
             config = TrainEvalPipelineConfig()
             text_format.Merge(config_str, config)
 
+    try:
+        old_score = config.model.ssd.post_processing.batch_non_max_suppression.score_threshold
+        config.model.ssd.post_processing.batch_non_max_suppression.score_threshold=score_threshold
+        warnings.warn("The score threshold of NonMaxSuppression was set from "+str(old_score)+" to "+str(score_threshold))
+    except AttributeError:
+        warnings.warn("The score threshold of NonMaxSuppression can not be reconfigured")
+        pass
 
     tf_config = tf.ConfigProto()
     tf_config.gpu_options.allow_growth = True