diff --git a/README.md b/README.md
index 145d50e91..d4205ef5b 100644
--- a/README.md
+++ b/README.md
@@ -26,12 +26,16 @@ During our implementing, we referred the above implementations, especailly [long
 
 * **It is faster**. Based on the above modifications, the training is much faster. We report the training speed on NVIDIA TITAN Xp in the tables below.
 
-## Other Resources
+## Other Implementations
 
 * [Feature Pyramid Network (FPN)](https://github.com/jwyang/fpn.pytorch)
 
 * Mask R-CNN (ongoing)
 
+## Tutorial 
+
+* [Blog](http://www.telesens.co/2018/03/11/object-detection-and-classification-using-r-cnns/) by [ankur6ue](https://github.com/ankur6ue)
+
 ## Benchmarking
 
 We benchmark our code thoroughly on three datasets: pascal voc, coco and imagenet-200, using two different network architecture: vgg16 and resnet101. Below are the results: