Assignment for object detector

5-retail/lessons/1-train-stock-detector/README.md

@@ -111,7 +111,7 @@ You can train an object detector using Custom Vision, in a similar way to how yo
 
     ![The settings for the custom vision project with the name set to fruit-quality-detector, no description, the resource set to fruit-quality-detector-training, the project type set to classification, the classification types set to multi class and the domains set to food](../../../images/custom-vision-create-object-detector-project.png)
 
-    > 💁 The products on shelves domain is specifically targeted for detecting stock on store shelves.
+    ✅ The products on shelves domain is specifically targeted for detecting stock on store shelves. Read more on the different domains in the [Select a domian documentation on Microsoft Docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/select-domain?WT.mc_id=academic-17441-jabenn#object-detection)
 
 ✅ Take some time to explore the Custom Vision UI for your object detector.
 
@@ -119,7 +119,7 @@ You can train an object detector using Custom Vision, in a similar way to how yo
 
 To train your model you will need a set of images containing the objects you want to detect.
 
-1. Gather images that contain the object to detect. You will need at least 15 images containing each object to detect from a variety of different angles and in different lighting conditions, but the more the better. You will also need a few images to test the model. If you are detecting more than one object, you will want some testing images that contain all the objects.
+1. Gather images that contain the object to detect. You will need at least 15 images containing each object to detect from a variety of different angles and in different lighting conditions, but the more the better. This object detector uses the *Products on shelves* domain, so try to set up the objects as if they were on a store shelf. You will also need a few images to test the model. If you are detecting more than one object, you will want some testing images that contain all the objects.
 
     > 💁 Images with multiple different objects count towards the 15 image minimum for all the objects in the image.
 
@@ -188,4 +188,4 @@ If you have any similar looking items, test it out by adding images of them to y
 
 ## Assignment
 
-[](assignment.md)
+[Compare domains](assignment.md)

5-retail/lessons/1-train-stock-detector/assignment.md

@@ -1,9 +1,14 @@
-#
+# Compare domains
 
 ## Instructions
 
+When you created your object detector, you had a choice of multiple domains. Compare how well they work for your stock detector, and describe which gives better results.
+
+To change the domain, select the **Settings** button on the top menu, select a new domain, select the **Save changes** button, then retrain the model. Make sure you test with the new iteration of the model trained with the new domain.
+
 ## Rubric
 
 | Criteria | Exemplary | Adequate | Needs Improvement |
 | -------- | --------- | -------- | ----------------- |
-| |  |  |  |
+| Train the model with a different domain | Was able to change the domain and re-train the model | Was able to change the domain and re-train the model | Was unable to change the domain or re-train the model |
+| Test the model and compare the results | Was able to test the model with different domains, compare results, and describe which is better | Was able to test the model with different domains, but was unable to compare the results and describe which is better | Was unable to test the model with different domains |