From 6d2e31bf2026301a25a3e8dabeae0680c159328b Mon Sep 17 00:00:00 2001
From: Alexey <AlexeyAB@users.noreply.github.com>
Date: Mon, 02 Jul 2018 16:29:10 +0000
Subject: [PATCH] Update Readme.md

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 README.md |    2 +-
 1 files changed, 1 insertions(+), 1 deletions(-)

diff --git a/README.md b/README.md
index 690cd74..a52aafa 100644
--- a/README.md
+++ b/README.md
@@ -422,7 +422,7 @@
 
   * check that each object are mandatory labeled in your dataset - no one object in your data set should not be without label. In the most training issues - there are wrong labels in your dataset (got labels by using some conversion script, marked with a third-party tool, ...). Always check your dataset by using: https://github.com/AlexeyAB/Yolo_mark
 
-  * desirable that your training dataset include images with objects at diffrent: scales, rotations, lightings, from different sides, on different backgrounds - you should preferably have 2000 images for each class or more
+  * desirable that your training dataset include images with objects at diffrent: scales, rotations, lightings, from different sides, on different backgrounds - you should preferably have 2000 different images for each class or more, and you should train `2000*classes` iterations or more
 
   * desirable that your training dataset include images with non-labeled objects that you do not want to detect - negative samples without bounded box (empty `.txt` files) - use as many images of negative samples as there are images with objects
 

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