Custom Vision Service
Welcome to the Custom Vision Service API Forum
Categories
API – Any ideas or feedback pertaining to features or enhancements to Custom Vision Service API.
Documentation – Any ideas or suggestions for the API Reference or Documentation.
Language Support – Submit a request to have a particular language supported.
Samples & SDK Request – Let us know if you would like to see a Code sample or SDK provided.
Release Notes – Recently updated December 19.
Attention!
We have moved our Customer Feedback & Ideas for Azure Cognitive Services portal to the Azure Feedback Forum.
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Deletion of images in Custom Vision Service
For deleting the images I could see APIs that require to manually provide Ids to delete the images. Is there no any API for deleting images in both Custom Vision using time as parameter (e.g automatically delete all the images of past 3 days or a week).
1 vote -
Ability to embed predictions into web applications
I would like to embed predictions back into a web application for other users to consume, so that way we can upload large pools of information and make the results presented back to different departments categorised on risk scores and other correlating factors.
1 vote -
Enhance Portal UI so that tags with long names are not cut halfway
Currently if you use long tags, they will not be fully visible unless you hover on them. Enhance the UI so that tags are not cut halfway, and make it responsive.
1 vote -
Don't refresh the page
It is incredibly convenient that we can use the "Predictions" tab to check the performance of predicted images, and move those images to the "Training images" tab.
However, after I select a specific image, validate the bounding boxes, and move the image to "Training images" tab, the page refreshes and go back to the very first page in the "Predictions" tab. i.e. I could be at page 10, and upon moving the predicted image to "Training images" tab, it refreshes and goes back to page 1.
It would be very useful to not to refresh the page, and stay at…
1 vote -
How to reduce false positives
Is there a way to reduce false positives even when there are few negative images that can be prepared?
Depending on what you want Custom Vision to learn, you may not be able to prepare a sufficient amount of images and variations. I would like to know if there are other things that can be done in this case.
1 vote -
Duplicate Multiple Regions When Tagging
When tagging my images, I very frequently use the Duplicate Region button. I also often have scenarios in which I have several regions that are consistent in their positions relative to each other. For example, I am currently working on tagging the dots on dominoes. All the 5-dot dominoes have their dots in an X, yet I need to tag each dot individually. If I could select all 5 dots and the duplicate them all at once, they would already be arranged in an X, greatly speeding up the tagging process. This same idea could be useful for other scenarios…
1 vote -
Select a rotated region
When selecting & tagging the regions in my Workspace Images, there are often regions that are diagonal (not rotated at right angles). Selecting these regions will obviously cause the regions to include other parts of the image, causing the training to be less accurate or correct, and require more Workspace Images before being appropriate for use. This is a very common scenario for me (and I am guessing many others), since we do not always hold our cameras perfectly vertical when taking pictures. Thank you.
2 votes -
Please Add Tensorflow JS example
It would be great to have a tensorflow js example of classification and object detection in the same ZIP file of the model
Thanks in Advance
1 vote -
Grad-CAM
In image classification, we can get the reason why this model classified as dog or cat, etc, if we introduce grad-cam mechanism as attached.
Can we have this feature in image classification moidule?1 vote -
Train on images with no tags
The docs suggest creating a fake tag for images with nothing in them. This is going to take space in the model and try for it to optimize something which doesn't make sense. When I get an image with a false positive I want to be able to upload the image to the training set even though there is nothing of interest in the picture.
1 vote -
export general domain
The general domain results in 98% mAP, while the compact domain is 75% (for my data set). I am using a 4K camera to detect objects in real time and would like to be able to download and work with the general model.
1 vote -
Backup Project
Ability to simply backup or even copy a project.
The delete button is easily available, please add a copy button/feature.
Thank you,
Jared4 votes -
2 votes
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More custom tools for tagging in Custom Vision object detection projects
The current bounding box method can't always be drawn over the exact area of the desired object.
A paint selection segmentation map or line tracing might speed up the laborious tagging process.
1 vote -
Algorithm Used for Training
Can you get details about the Algorithms which is being used to train custom vision model ? Also details about how many layers of training was done.
4 votes -
Cancel training
Have the possibility to cancel a training.
I setted up an iteration to training during 6 hours, and after 12 hours the training continues and I can't do anything.2 votes -
Retail Domain for Object Detection
We're working on a model to recognize clothe types for an app. We've tested both object detection and classification, and classification is about 6.5% more accurate, most likely because of the specialized Retail domain. However, this domain is not available for object detection.
Can you add the pre-built retail domain to object detection projects?
1 vote -
Shortcuts Left Hand
While training data, people use the right hand to draw boxes. Buttons near the left hand, tab, w-a-s-d need to be utilized for fast labelling. a-d for image right/left, w-s for up and down through labels.
It makes labelling much much faster.1 vote -
export to azure registry
It would be great if we could export our customvision ML directly into the Azure Container Registry
1 vote -
Bug when selecting images by clicking on the tick
When I click the tick in the bottom left hand corner of the training image the image just shrinks briefly and the tick doesn't turn blue. To be able to get the tick to turn blue which means it is selected, I need to hold down the left mouse key when I click on the tick and then move the cursor back over the tick until it turns light gray. This makes selecting multiple images very time consuming and fiddly. I've tested on Chrome, Firefox and Edge and all 3 browsers have the same problem.
1 vote
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