diff --git a/examples/swimming-pool-detection/GE/config_GE.yaml b/examples/swimming-pool-detection/GE/config_GE.yaml
index 9f27030..69379f7 100644
--- a/examples/swimming-pool-detection/GE/config_GE.yaml
+++ b/examples/swimming-pool-detection/GE/config_GE.yaml
@@ -57,7 +57,8 @@ make_predictions.py:
     detectron2_config_file: '../detectron2_config_GE.yaml' # path relative to the working_folder
     model_weights:
         pth_file: 'logs/model_final.pth'
-  
+    score_lower_threshold: 0.05
+
 assess_predictions.py:
   datasets:
     ground_truth_labels_geojson: output_GE/ground_truth_labels.geojson
diff --git a/scripts/make_predictions.py b/scripts/make_predictions.py
index cccf9ef..f9ef570 100644
--- a/scripts/make_predictions.py
+++ b/scripts/make_predictions.py
@@ -66,7 +66,8 @@
     WORKING_DIR = cfg['working_folder']
     SAMPLE_TAGGED_IMG_SUBDIR = cfg['sample_tagged_img_subfolder']
     LOG_SUBDIR = cfg['log_subfolder']
-        
+
+    SCORE_LOWER_THR = cfg['score_lower_threshold'] 
     
     os.chdir(WORKING_DIR)
     # let's make the output directories in case they don't exist
@@ -89,14 +90,15 @@
     cfg.OUTPUT_DIR = LOG_SUBDIR
     
     cfg.MODEL.WEIGHTS = MODEL_PTH_FILE
-    predictor = DefaultPredictor(cfg)
-    
-    # ---- make predictions
-    threshold = 0.05
+
+    # set the testing threshold for this model
+    threshold = SCORE_LOWER_THR
     threshold_str = str( round(threshold, 2) ).replace('.', 'dot')
+    cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = threshold   
 
-    cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = threshold   # set the testing threshold for this model
+    predictor = DefaultPredictor(cfg)
     
+    # ---- make predictions   
     for dataset in COCO_FILES_DICT.keys():
 
         predictions = {}