diff --git a/Readme.md b/Readme.md
index e306d39..131acbe 100644
--- a/Readme.md
+++ b/Readme.md
@@ -51,31 +51,7 @@ Note: The data for the mosaic is currently not updated automatically, since Swif
 ## Classifier training
 
 The main server is running on Linux, which doesn't provide the CreateML framework required for classifier training. 
-This has to be done on macOS using the `train.swift` script in the `Training` folder.
-It will:
-- Fetch the current image catalog by checking missing and changed images
-- Train a classifier on the image set
-- Increment the classifier version and upload the new model
-- Update the list of caps which can be recognized using the classifier
-- Create missing thumbnails for each cap for the cap grid
-
-A configuration file is required to run the training, with a valid access token for the server:
-
-```json
-{
-    "imageDirectory": "../Public/images",
-    "classifierModelPath": "../Public/classifier.mlmodel",
-    "trainingIterations": 20,
-    "serverPath": "https://mydomain.com/caps",
-    "authenticationToken": "mysecretkey",
-}
-```
-
-The configuration file `config.json` must be located in the folder from which the script is run.
-
-```bash
-swift train.swift
-```
+This has to be done on macOS using the [Caps-Train](https://christophhagen.de/git/ch/Caps-Train) repository.
 
 ## Future work
 - Create thumbnails on the server using [JPEG](https://github.com/kelvin13/jpeg)