dotnet / machinelearning-modelbuilder

Simple UI tool to build custom machine learning models.
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Object detection & Image classification-Azure: Training failed. #2297

Closed v-Hailishi closed 1 year ago

v-Hailishi commented 1 year ago

System Information (please complete the following information): Windows OS: Windows-11-Enterprise-21H2 ML.Net Model Builder 2022: 16.13.10.2251901 (Main Build) Microsoft Visual Studio Enterprise: 2022(17.3.6) .Net: 6.0

Describe the bug

Data Source https://docs.microsoft.com/en-us/dotnet/machine-learning/tutorials/object-detection-model-builder#create-a-new-vott-project https://testpass.blob.core.windows.net/test-pass-data/weather.zip

To Reproduce Steps to reproduce the behavior:

  1. Select Create a new project from the Visual Studio 2022 start window.
  2. Choose the C# Console App (.NET Core6.0) project template.
  3. Add model builder by right click on the project.
  4. Select Object detection or Image classification-Azure scenario.
  5. On Data page, select the data source.
  6. You will see that training failed with model builder error.

Expected behavior Training successful.

Screenshot image

Additional context: ImageClassification: https://ml.azure.com/experiments/id/891078f2-635b-4e43-849b-f5129264b1fa/runs/lrglhhyispyybem?wsid=/subscriptions/83635e26-687a-4333-a2a0-33e3cd1f573a/resourceGroups/FullTestPass/providers/Microsoft.MachineLearningServices/workspaces/FullTestPass&tid=72f988bf-86f1-41af-91ab-2d7cd011db47 Object detection: https://ml.azure.com/experiments/id/8ad34cd8-0b2e-445b-a3a7-5760c3306ece/runs/vdzvrhcxhstvjhk?wsid=/subscriptions/83635e26-687a-4333-a2a0-33e3cd1f573a/resourceGroups/FullTestPass/providers/Microsoft.MachineLearningServices/workspaces/FullTestPass&tid=72f988bf-86f1-41af-91ab-2d7cd011db47

v-Hailishi commented 1 year ago

The bug has been fixed on the latest main build: 16.14.0.2252005 image

beccamc commented 1 year ago

Is this still happening? In the bug bash yesterday both worked for me?

v-Hailishi commented 1 year ago

@beccamc Yes, the bug has been fixed now.