Object detection locally stuck in training phase on tutorial dataset

[BigDaddy1337]

System Information (please complete the following information):

• Model Builder or CLI Version: 17.18.2.2415501
• Visual Studio Version (if applicable): 2022 version 17.9.3

Describe the bug

• On which page of the tutorial did you run into an issue (URL): https://devblogs.microsoft.com/dotnet/object-detection-ml-dotnet-model-builder/ (Step 5 of topic "Get started with object detection locally")
• Clear description of the problem: Training locally gets stuck in the training stage, waited about 6 hours, tried CPU (Ryzen 5 7600X with 32GB ram) or GPU (RTX 3070) environment, nothing changes

Logs

2024-03-18 22:32:57.5620 DEBUG update TrainViewModel_159.RemainingSeconds (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:32:57.5620 DEBUG update TrainViewModel_159.RemainingTime (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:32:58.5660 DEBUG update TrainViewModel_159.RemainingSeconds (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:32:58.5660 DEBUG update TrainViewModel_159.RemainingTime (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:32:59.5760 DEBUG update TrainViewModel_159.RemainingSeconds (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:32:59.5760 DEBUG update TrainViewModel_159.RemainingTime (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:00.5960 DEBUG update TrainViewModel_159.RemainingSeconds (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:00.5960 DEBUG update TrainViewModel_159.RemainingTime (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:01.6030 DEBUG update TrainViewModel_159.RemainingSeconds (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:01.6030 DEBUG update TrainViewModel_159.RemainingTime (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:02.6175 DEBUG update TrainViewModel_159.RemainingSeconds (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:02.6175 DEBUG update TrainViewModel_159.RemainingTime (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:03.6262 DEBUG update TrainViewModel_159.RemainingSeconds (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:03.6262 DEBUG update TrainViewModel_159.RemainingTime (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:04.6287 DEBUG update TrainViewModel_159.RemainingSeconds (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:04.6287 DEBUG update TrainViewModel_159.RemainingTime (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:05.6395 DEBUG update TrainViewModel_159.RemainingSeconds (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:05.6395 DEBUG update TrainViewModel_159.RemainingTime (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:06.6409 DEBUG update TrainViewModel_159.RemainingSeconds (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:06.6409 DEBUG update TrainViewModel_159.RemainingTime (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:07.6492 DEBUG update TrainViewModel_159.RemainingSeconds (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:07.6492 DEBUG update TrainViewModel_159.RemainingTime (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:08.6499 DEBUG update TrainViewModel_159.RemainingSeconds (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:08.6499 DEBUG update TrainViewModel_159.RemainingTime (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:09.6540 DEBUG update TrainViewModel_159.RemainingSeconds (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:09.6540 DEBUG update TrainViewModel_159.RemainingTime (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:10.6595 DEBUG update TrainViewModel_159.RemainingSeconds (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)
2024-03-18 22:33:10.6595 DEBUG update TrainViewModel_159.RemainingTime (Microsoft.ML.ModelBuilder.Utils.Logger.Debug)

To Reproduce
Steps to reproduce the behavior: "Get started with object detection locally" https://devblogs.microsoft.com/dotnet/object-detection-ml-dotnet-model-builder/

Expected behavior
With my hardware spec and 40 images with one category detection train phase should take a few minutes

Screenshots

Additional context
Classification scenario works as expected locally with same dataset

[LittleLittleCloud]

Would you mind sharing the stop sign dataset with us

[BigDaddy1337]

@LittleLittleCloud check public repo https://github.com/BigDaddy1337/temp/tree/main - images and vott labeling configs

[vulvquang]

while training, check your GPU usage, if nothing or small percentage is increased, the system might need to download a file. If a file required, please see #2892