diff --git a/README.md b/README.md
index e361dba..5ae095b 100755
--- a/README.md
+++ b/README.md
@@ -10,7 +10,9 @@ Caffe
 
 ## Estimated Metadata
 
-`identity_meta_with_estimated_age.csv`
+You can use estimated output below
+
+`output/identity_meta_with_estimated_age.csv`
 
 ## Estimation Tutorial
 
@@ -34,6 +36,19 @@ Download vggface2_test.tar.gz and vggface2_train.tar.gz and identity_meta.csv
 
 http://www.robots.ox.ac.uk/~vgg/data/vgg_face2/
 
+Untar downloaded dataset
+
+`tar zxvf vggface2_train.tar.gz`
+`tar zxvf vggface2_test.tar.gz`
+
+This is a expected location
+
+`dataset/vggface2/train`
+`dataset/vggface2/test`
+`dataset/vggface2/identity_meta.csv`
+
+### Dataset format
+
 identity_meta.csv includes these format
 
 `Class_ID, Name, Sample_Num, Flag, Gender`
@@ -44,5 +59,7 @@ identity_meta.csv includes these format
 
 This script add age label to identity_meta.csv
 
+Output file is identity_meta_with_estimated_age.csv
+
 `Class_ID, Name, Sample_Num, Flag, Gender, Age`
 
diff --git a/estimate_age.py b/estimate_age.py
index 2f7fe65..9d6d50e 100644
--- a/estimate_age.py
+++ b/estimate_age.py
@@ -14,6 +14,7 @@
 # ----------------------------------------------
 
 DATASET_ROOT_PATH="/Volumes/TB4/Keras/"
+DATASET_SUB_PATH="Dataset/vggface2/"
 
 # ----------------------------------------------
 # Argument
@@ -24,8 +25,16 @@
 if len(sys.argv) >= 1:
   if len(sys.argv) >= 2:
     DATASET_ROOT_PATH=sys.argv[3]
+  if len(sys.argv) >= 3:
+    if sys.argv[4]=="gpu":
+      caffe.set_mode_gpu()
+    else:
+      if(sys.argv[4]=="cpu"):
+        None
+      else:
+        print("argv[4] must be gpu or cpu")
 else:
-  print("usage: python calculate_age.py [datasetroot(optional)]")
+  print("usage: python calculate_age.py [datasetroot(optional)] [gpu/cpu(optional)]")
   sys.exit(1)
 
 # ----------------------------------------------
@@ -61,9 +70,9 @@ def calc_age(image):
 # FileList
 # ----------------------------------------------
 
-lines=open(DATASET_ROOT_PATH+"Dataset/identity_meta.csv").readlines()
+lines=open(DATASET_ROOT_PATH+DATASET_SUB_PATH+"identity_meta.csv").readlines()
 
-OUTPUT_PATH="./identity_meta_with_estimated_age.csv"
+OUTPUT_PATH=DATASET_ROOT_PATH+DATASET_SUB_PATH+"identity_meta_with_estimated_age.csv"
 if(os.path.exists(OUTPUT_PATH)):
 	output_data=open(OUTPUT_PATH).readlines()	#for continue
 else:
@@ -76,15 +85,17 @@ def calc_age(image):
 	age=obj[5].strip()
 	cache[path]=age
 
-DEBUG_MODE=1
+DEBUG_MODE=0	#If 1, Age estimate from one image
 
 with open(OUTPUT_PATH, mode='w') as f:
+	cnt=0
 	for line in lines:
 		obj=line.split(", ")
 		path=obj[0]
 		trainset=obj[3]
 
-		print("target person : "+path)
+		print("target person : "+path+" "+str(cnt)+"/"+str(len(lines)))
+		cnt=cnt+1
 
 		if path in cache.keys():
 			#already estimated
@@ -92,11 +103,11 @@ def calc_age(image):
 			print("  use cached age "+str(cache[path]))
 		else:
 			#yet estimated
-			if trainset=="0":# or trainset=="1":
+			if trainset=="0" or trainset=="1":
 				if trainset=="0":
-					path2=DATASET_ROOT_PATH+"Dataset/test/"+path
+					path2=DATASET_ROOT_PATH+DATASET_SUB_PATH+"test/"+path
 				else:
-					path2=DATASET_ROOT_PATH+"Dataset/train/"+path
+					path2=DATASET_ROOT_PATH+DATASET_SUB_PATH+"train/"+path
 				age_sum=0
 				age_cnt=0
 				for image_path in glob.glob(path2+"/*.jpg"):