From d502dea9a451c290f602ba18bc61f4f79c51be0c Mon Sep 17 00:00:00 2001
From: Alexey <AlexeyAB@users.noreply.github.com>
Date: Mon, 04 Jun 2018 10:55:27 +0000
Subject: [PATCH] Update Readme.md

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 README.md |    5 +++++
 1 files changed, 5 insertions(+), 0 deletions(-)

diff --git a/README.md b/README.md
index e56efa8..40289e9 100644
--- a/README.md
+++ b/README.md
@@ -421,6 +421,11 @@
 
   * for training with a large number of objects in each image, add the parameter `max=200` or higher value in the last layer [region] in your cfg-file
   
+  * General rule - you should keep relative size of objects in the Training and Testing datasets the same: 
+
+    * `train_network_width * train_obj_width / train_image_width ~= detection_network_width * detection_obj_width / detection_image_width`
+    * `train_network_height * train_obj_height / train_image_height ~= detection_network_height * detection_obj_height / detection_image_height`
+  
   * to speedup training (with decreasing detection accuracy) do Fine-Tuning instead of Transfer-Learning, set param `stopbackward=1` in one of the penultimate convolutional layers before the 1-st `[yolo]`-layer, for example here: https://github.com/AlexeyAB/darknet/blob/0039fd26786ab5f71d5af725fc18b3f521e7acfd/cfg/yolov3.cfg#L598
 
 2. After training - for detection:

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