diff --git a/README.md b/README.md
index 441b823..74298b2 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,7 @@ SOD is an embedded, modern cross-platform computer vision and machine learning s
SOD was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in open source as well commercial products.
-Designed for computational efficiency and with a strong focus on real-time applications. SOD includes a comprehensive set of both classic and state-of-the-art deep-neural networks with their pre-trained models. Built with SOD:
+Designed for computational efficiency and with a strong focus on real-time applications. SOD includes a comprehensive set of both classic and state-of-the-art deep-neural networks with their pre-trained models. Built with SOD:
* Convolutional Neural Networks (CNN) for multi-class (20 and 80) object detection & classification.
* Recurrent Neural Networks (RNN) for text generation (i.e. Shakespeare, 4chan, Kant, Python code, etc.).
* Decision trees for single class, real-time object detection.
@@ -31,7 +31,7 @@ Cross platform, dependency free, amalgamated (single C file) and heavily optimiz
* Simple, clean and easy to use API.
* Brings deep learning on limited computational resource, embedded systems and IoT devices.
* Easy interpolatable with OpenCV or any other proprietary API.
-* Pre-trained models available for most architectures.
+* Pre-trained models available for most architectures.
* CPU capable, RealNets model training.
* Production ready, cross-platform, high quality source code.
* SOD is dependency free, written in C, compile and run unmodified on virtually any platform & architecture with a decent C compiler.