From ae9fb2abbd8e2b7e079b56bf1cf39754d7c091ac Mon Sep 17 00:00:00 2001
From: Nadeen Udantha <udanthan@gmail.com>
Date: Fri, 18 May 2018 08:49:19 +0000
Subject: [PATCH] ojbects -> objects

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

diff --git a/README.md b/README.md
index 3ca3412..352edf5 100644
--- a/README.md
+++ b/README.md
@@ -349,7 +349,7 @@
 
 2. Once training is stopped, you should take some of last `.weights`-files from `darknet\build\darknet\x64\backup` and choose the best of them:
 
-For example, you stopped training after 9000 iterations, but the best result can give one of previous weights (7000, 8000, 9000). It can happen due to overfitting. **Overfitting** - is case when you can detect objects on images from training-dataset, but can't detect ojbects on any others images. You should get weights from **Early Stopping Point**:
+For example, you stopped training after 9000 iterations, but the best result can give one of previous weights (7000, 8000, 9000). It can happen due to overfitting. **Overfitting** - is case when you can detect objects on images from training-dataset, but can't detect objects on any others images. You should get weights from **Early Stopping Point**:
 
 ![Overfitting](https://hsto.org/files/5dc/7ae/7fa/5dc7ae7fad9d4e3eb3a484c58bfc1ff5.png) 
 

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