Unable to filter projects by subscription, which means I'm seeing a lot of projects by default in my portal when I log in for whichever subscription I may be a part of.

There is a 'Resource' filter on the web ui, but no way to persist, save that filter. So every time you go back to the UI you end up with a full list of projects which may not be yours.

There seems to be some new updates for exporting an object detection model. I am unable to export a TF model with or without specifieng the flavor using .net sdk. Once i try that from the sdk, that itteration also gets stuck in the exporting model for ever even in the CustomVision portal.

Could you please support CoreML3 model format.
To improve the implementation of object detection models in iOS apps.

The following public information does not hit with the string "Smart Labeler".

<https://docs.microsoft.com/bs-cyrl-ba/azure/cognitive-services/custom-vision-service/suggested-tags>

I know it's synonymous with "Suggested Tags," but people who don't know this feature get confused because web portal settings page displays it as "Smart Labeler Preference".
Could you fix the document so that you can search in Smart Labeller?

Can custom vision measure object geometry from images? Since the face recognition service can identify and create polygons of face features, one may consider custom vision can do the same for specified features. Extract those polygons with some reference dimension units. The object of interest can be represented by the polygons and the dimensions can be approximated or estimated. Then use custom vision to quantify object size.

Please add the tensorflowjs model option.

It's so irritating not able to get an endpoint after train a model

I tagged some images and discovered that those tags are too specific. I would like to merge one or more tags. Do I need to label each image again? Couldn't I rename a tag to a name that already exists and group them?

If I try to rename a tag to another existing name, it shows me an error that this tag name already exists

When tagging and adjusting object location in image details, please retain the page the user is on after closing the image details modal dialog. As you go through all the images to tag or make adjustments to the object locations it is very frustrating to lose the page the you were on after closing the dialog.

Is there any way to version the model file? As we iterate, there does not seem to be anyway to identify the exported ONNX model by iteration, version, etc. To be clear I do not mean the Version used to create the model...but rather as we add images and retrain...the version of the result. The LearningModel class has a Version property but it seems to always return 0.

Object Detection learns actively and starts making region suggestions as the user goes along. Please please add the ability to suggest tags for Image Classification! This would really speed up our tagging scenarios.

I would like the ability to select a subset of images for Training, to enable my own cross-validation. Right now I don't think I have any control over which specific images are included in the model, unless I delete them (for later re-importing).

Since General Model has better accuracy, it should be possible to download model artefacts such as model in a .pb or .pkl file so that it can be deployed in a different environment or a different resource group.

It would be nice to be able to download all the photos I have uploaded in my custom vision.ai project.

I am using an Azure Function to push images into Custom Vision from Azure Blob Storage in order for it to be labelled via the GUI.

We would like to subscribe to an event stream/message queue for when a label has been applied/updated so that we can respond appropriately.

A mechanism for an Azure Function to trigger on this would be amazing.

Alternatively if we have to poll periodically we would like a way to identify which images have had labels applied/modified since the last iteration - is there a workaround to do this?