From 332b35e976f764116d3c06343615361aa26c5520 Mon Sep 17 00:00:00 2001 From: Jim Bennett Date: Tue, 6 Jul 2021 08:07:14 -0700 Subject: [PATCH] Update README.md --- 5-retail/lessons/1-train-stock-detector/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/5-retail/lessons/1-train-stock-detector/README.md b/5-retail/lessons/1-train-stock-detector/README.md index e9dbdcbc..8cfacfa9 100644 --- a/5-retail/lessons/1-train-stock-detector/README.md +++ b/5-retail/lessons/1-train-stock-detector/README.md @@ -105,7 +105,7 @@ You can train an object detector using Custom Vision, in a similar way to how yo Call your project `stock-detector`. - When you create your project, make sure to use the `stock-detector-training` resource you created earlier. Use *Object Detection* project type, and the *Products on Shelves* domain. + When you create your project, make sure to use the `stock-detector-training` resource you created earlier. Use the *Object Detection* project type, and the *Products on Shelves* domain. ![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) @@ -135,7 +135,7 @@ To train your model you will need a set of images containing the objects you wan ![Tagging some tomato paste](../../../images/object-detector-tag-tomato-paste.png) - > 💁 If you have more than 15 images for each object, you can train after 15 then use the **Suggested tags** feature. This will use the trained model to detect the objecs in the untagged image. You can then confirm the detected objects, or reject and re-draw the bounding boxes. This can save a *lot* of time. + > 💁 If you have more than 15 images for each object, you can train after 15 then use the **Suggested tags** feature. This will use the trained model to detect the objects in the untagged image. You can then confirm the detected objects, or reject and re-draw the bounding boxes. This can save a *lot* of time. 1. Follow the [Train the detector section of the Build an object detector quickstart on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/get-started-build-detector?WT.mc_id=academic-17441-jabenn#train-the-detector) to train the object detector on your tagged images.