From 2c29218e4ee70afa28076709791ed14021575511 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Tue, 13 Feb 2018 21:25:11 +0000
Subject: [PATCH] Added compute_mAP.cmd for calculation mAP for Pascal VOC 2007 dataset. Added reval_voc_py3.py and voc_eval_py3.py for Python3.

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 README.md |    2 ++
 1 files changed, 2 insertions(+), 0 deletions(-)

diff --git a/README.md b/README.md
index 20efec6..ebe9a1a 100644
--- a/README.md
+++ b/README.md
@@ -341,6 +341,8 @@
   
   * desirable that your training dataset include images with objects at diffrent: scales, rotations, lightings, from different sides
 
+  * for training on small objects, add the parameter `small_object=1` in the last layer [region] in your cfg-file
+
 2. After training - for detection:
 
   * Increase network-resolution by set in your `.cfg`-file (`height=608` and `width=608`) or (`height=832` and `width=832`) or (any value multiple of 32) - this increases the precision and makes it possible to detect small objects: [link](https://github.com/AlexeyAB/darknet/blob/master/cfg/yolo-voc.2.0.cfg#L4)

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