diff --git a/exp/kerokero/prepare_data.py b/exp/kerokero/prepare_data.py
--- a/exp/kerokero/prepare_data.py
+++ b/exp/kerokero/prepare_data.py
@@ -2,19 +2,25 @@ import os
 import sys
 import re
 import random
+import logging as log
 
 import numpy as np
 import cv2 as cv
 
+import config as cfg
 sys.path.append("..")
 sys.path.append("../../src")
-from annotations import DataFile,computeBoundingBox,Corners,EPoint
+from annotations import DataFile,computeBoundingBox,Corners,EPoint,Board
 from geometry import Line
 from kerokero.transformation_matrices import getIdentity,getRotation,getTranslation,getScale,getMirroring,getProjection
 
 random.seed(361)
 
 
+class Stats:
+	counts=[0,0,0,0]
+
+
 class Sample:
 	SIDE=224
 
@@ -61,6 +67,7 @@ class Sample:
 		img=cv.cvtColor(self.img,cv.COLOR_GRAY2BGR)
 		for c in self.grid:
 			cv.circle(img,(int(c.x),int(c.y)),3,[0,255,0],-1)
+		img=cv.resize(img,(self.SIDE*2,self.SIDE*2))
 		show(img)
 
 
@@ -70,7 +77,7 @@ def traverseDirs(root):
 		d=stack.pop()
 		contents=sorted(os.scandir(d),key=lambda f: f.name,reverse=True)
 		if any(f.name=="annotations.json.gz" for f in contents):
-			print(d)
+			log.info(d)
 			yield d
 		for f in contents:
 			if f.is_dir(): stack.append(f.path)
@@ -82,6 +89,9 @@ def harvestDir(path):
 	files=sorted(filter(imgFilter,os.scandir(path)),key=lambda f: f.name)
 	boards=annotations["."]
 	for f in files:
+		grade=annotations.get(f.name,[Board()])[0].grade
+		Stats.counts[grade]+=1
+		if not Board.UNSET<grade<=Board.POOR: continue
 		img=cv.imread(f.path)
 		img=cv.cvtColor(img,cv.COLOR_BGR2GRAY)
 		for b in boards:
@@ -101,6 +111,11 @@ def loadDataset(root):
 		for (img,label) in harvestDir(d):
 			images.append(img)
 			labels.append(label)
+	log.info("clear images: %s",Stats.counts[1])
+	log.info("good images: %s",Stats.counts[2])
+	log.info("poor images: %s",Stats.counts[3])
+	log.info("unset images: %s",Stats.counts[0])
+	log.info("total: %s",sum(Stats.counts))
 	n=len(images)
 	keys=list(range(n))
 	random.shuffle(keys)