diff --git a/README.md b/README.md
index d196498..0b2d732 100644
--- a/README.md
+++ b/README.md
@@ -20,7 +20,7 @@ Using the [Anaconda distribution](https://www.anaconda.com/products/individual)
 
 ### Installation
 1. Clone this repo onto your PC: `git clone http://git.wrl.unsw.edu.au:3000/jonoc/coastsnap.git`
-2. Change your working directory into the repo: `cd coastsnap`
+2. Change your working directory into the repo: `cd CoastsnapAuto`
 3. Create a new conda environment called "coastsnap" with the required dependencies. This is the same environment as for the Leaman CoastSnap Toolbox, so you may already have it. If you're not sure, run: `conda info --envs` and look for "coastsnap". Otherwise, create the environment by runnning:
 `conda env create -f environment.yml` 
 
@@ -28,8 +28,8 @@ Using the [Anaconda distribution](https://www.anaconda.com/products/individual)
 The following is a demo to make sure all of the code is working and for the user to get a sense of the intended workflow. It'll take approx. 10 mins (assuming everything works). The code will run on a demo CoastSnap directory (`CoastSnap_DEMO`) with 3 sites. 
 
 1. Open up `coastsnap_sites.csv`. Change the path name in cell E2, to the
-path of the coastsnap/CoastSnap_DEMO directory.
-2. Open the coastsnap/coastsnap directory 
+path of the CoastsnapAuto/CoastSnap_DEMO directory.
+2. Open the CoastsnapAuto/coastsnap directory 
 3. Run `batch_spotteron_download.bat` [30s]
 - This downloads 5 images each for 3 sites and stores them in CoastSnap_DEMO/Images/Site_Name/Processed) 
 4. Run `batch_photoshop_registration.bat` [2 mins]