Custom Vision ONNX in ML.NET (#29093)

docs/machine-learning/toc.yml

@@ -22,22 +22,24 @@ items:
   href: whats-new/overview.md
 - name: Tutorials
   items:
-  - name: Model Builder & CLI
+  - name: Model Builder
     items:
-    - name: Predict prices (Model Builder value prediction)
+    - name: Predict prices (value prediction)
       href: tutorials/predict-prices-with-model-builder.md
-    - name: Analyze sentiment using the ML.NET CLI
-      href: tutorials/sentiment-analysis-cli.md
-    - name: Analyze sentiment in Razor Pages (Model Builder text classification)
+    - name: Analyze sentiment in Razor Pages (text classification)
       href: tutorials/sentiment-analysis-model-builder.md
-    - name: Categorize health violations (Model Builder data classification)
+    - name: Categorize health violations (data classification)
       href: tutorials/health-violation-classification-model-builder.md
-    - name: Categorize land use from satellite images (Model Builder image classification)
+    - name: Categorize land use from satellite images (image classification)
       href: tutorials/image-classification-model-builder.md
-    - name: Detect traffic signs (Model Builder object detection)
+    - name: Detect traffic signs (object detection)
       href: tutorials/object-detection-model-builder.md
-    - name: Train a recommendation model using Model Builder
+    - name: Train a recommendation model
       href: tutorials/movie-recommendation-model-builder.md
+  - name: CLI
+    items:
+    - name: Analyze sentiment
+      href: tutorials/sentiment-analysis-cli.md
   - name: API
     items:
     - name: Overview
@@ -64,6 +66,8 @@ items:
       href: tutorials/sales-anomaly-detection.md
     - name: Detect objects in images (object detection)
       href: tutorials/object-detection-onnx.md
+    - name: Detect objects in images from Custom Vision ONNX model
+      href: tutorials/object-detection-custom-vision-onnx.md
     - name: Classify sentiment using TensorFlow (text classification)
       href: tutorials/text-classification-tf.md
   - name: Infer.NET
@@ -123,7 +127,7 @@ items:
         href: how-to-guides/inspect-intermediate-data-ml-net.md
       - name: Determine model feature importance with PFI
         href: how-to-guides/explain-machine-learning-model-permutation-feature-importance-ml-net.md
-    - name: Use the trained model
+    - name: Use a trained model
       items:
       - name: Save and load a model
         href: how-to-guides/save-load-machine-learning-models-ml-net.md

docs/machine-learning/tutorials/index.md

@@ -1,22 +1,23 @@
 ---
 title:  ML.NET tutorials
 description: Explore the ML.NET tutorials to learn how to build custom AI solutions and integrate them into your .NET applications.
-ms.date: 07/08/2019
+ms.date: 05/18/2024
 ---
 # ML.NET tutorials
 
-The following tutorials enable you to understand how to use [ML.NET](../index.yml) to build custom machine learning solutions and integrate them into your .NET applications:
+The following tutorials help you understand how to use [ML.NET](../index.yml) to build custom machine learning solutions and integrate them into your .NET applications:
 
-- [Sentiment analysis](sentiment-analysis.md): demonstrates how to apply a **binary classification** task using ML.NET.
-- [GitHub issue classification](github-issue-classification.md): demonstrates how to apply a **multiclass classification** task using ML.NET.
-- [Price predictor](predict-prices.md): demonstrates how to apply a **regression** task using ML.NET.
-- [Iris clustering](iris-clustering.md): demonstrates how to apply a **clustering** task using ML.NET.
-- [Recommendation](movie-recommendation.md): generate movie **recommendations** based on previous user ratings
-- [Image classification](image-classification.md): demonstrates how to retrain an existing TensorFlow model to create a custom image classifier using ML.NET.
-- [Anomaly detection](sales-anomaly-detection.md): demonstrates how to build an anomaly detection application for product sales data analysis.
-- [Detect objects in images](object-detection-onnx.md): demonstrates how to detect objects in images using a pre-trained ONNX model.
-- [Classify sentiment of movie reviews](text-classification-tf.md): learn to load a pre-trained TensorFlow model to classify the sentiment of movie reviews.
+- [Sentiment analysis](sentiment-analysis.md): Apply a **binary classification** task using ML.NET.
+- [GitHub issue classification](github-issue-classification.md): Apply a **multiclass classification** task using ML.NET.
+- [Price predictor](predict-prices.md): Apply a **regression** task using ML.NET.
+- [Iris clustering](iris-clustering.md): Apply a **clustering** task using ML.NET.
+- [Recommendation](movie-recommendation.md): Generate movie **recommendations** based on previous user ratings
+- [Image classification](image-classification.md): Retrain an existing TensorFlow model to create a custom image classifier using ML.NET.
+- [Anomaly detection](sales-anomaly-detection.md): Build an anomaly detection application for product sales data analysis.
+- [Detect objects in images](object-detection-onnx.md): Detect objects in images using a pre-trained ONNX model.
+- [Categorize an image from Custom Vision ONNX model](object-detection-custom-vision-onnx.md): Detect objects in images using an ONNX model trained in the Microsoft Custom Vision service.
+- [Classify sentiment of movie reviews](text-classification-tf.md): Load a pretrained TensorFlow model to classify the sentiment of movie reviews.
 
-## Next Steps
+## Next steps
 
-For more examples that use ML.NET, check out the [dotnet/machinelearning-samples](https://github.com/dotnet/machinelearning-samples) GitHub repository.
+For more examples that use ML.NET, see the [dotnet/machinelearning-samples](https://github.com/dotnet/machinelearning-samples) GitHub repository.