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I want to overlay an annotation ontop of the image to aid in the next classes annotation. I can lock the specific annotation class on each individual image but Is there a way to lock a specific class across all images so that myself or other annotators don't accidentally drag it to a different location.

In my Team Setup > Detalis page there isn't the token generate button. I followed these instructions: <https://doc.superannotate.com/docs/token-for-python-sdk> Thanks!

I'm currently involved in a project that requires a minimum number of labels per Class_instance name. I'm interested in obtaining a comprehensive report that includes all combinations of class names and instance names to track these numbers. However, I'm currently only able to extract either the class name or the total instance count, but not the specific combinations of classes and instances. How can I generate a more detailed report in this context?

Some of my annotators have been complaining that their annotations have gone missing after submitting an image for QA. I am returning their annotations with a comment stating that they forgot to tag a few instances. They have told me that they did complete the tagging, but it seems that not all of it is being saved when subimitting to QA.

Whenever add integration -> AWS is performed to show the S3 integration modal, the externalId given for the trust relationship changes. This makes it difficult to setup an integration when team responsible for managing IAM roles does not have access to SuperAnnotate and vice-versa. I attempted to replay the request using the external id that the IAM role was given in the json payload, however this still failed.

Hi! I now have access to the Python SDK of SuperAnnotate. I have a question regarding the Show/Hide instance feature for Image Segmentation: Is it possible to use a command on my dataset that sets all instances to "Show" and ensures that no instance is in "Hide" mode? Explanation of my problem: Some reviewers in my team have used the "Hide" option to see what is behind the mask. However, when they move to another image, they sometimes forget to switch the instance back to "Show." The issue arises when I download the annotations because I noticed that this option modifies the mask, resulting in an undesired mask. I have checked the documentation, but I couldn't find any information about an automated command for this purpose. Thank you very much! I'm looking forward to hearing back from you. Pierre

Hi, when i click on the label projects i can see the files, but when i click on the files all i see as a blank page. Please help.

Our startup is developing an application using computer vision. What is the cost of the Pro package when we move from the free package to Pro. Currently we only need labeling.

I have two potential issues. The first is that in my existing projects, when I try to load images, I get a message that says "This project doesn't have any classes. Set them up first to be able to annotate." These projects do have classes defined, so I am at a loss for how to fix this. The second problem is that SA is failing to load images to a new project. The files are 4000 x 6000 pixels (12-13 MB in size). These seem like they should load fine, but they are failing w/o any sort of explanation. Any help on these issues would be very much appreciated. Thanks!

I am trying to export a Pixel project. The zip zip contains only json files and none .png masks. When trying exporting using the Python sdk I get the following error: AppException: Include fuse functionality is not supported for projects containing Pixel attached with URLs