@nstoffle Thanks for sharing these HERA interactive plots! The ability to use the select tool and toggle the ascending/descending passes makes the SAA boundaries much easier to interpret visually.
I’m downloading the HTML files now to take a closer look at how the data filtering is structured under the hood. Really appreciate you sharing this baseline data with the group!
I was unable to write a proposal for the project. I was too busy in last month. When will the second phase start? @martin !
OK, no problem.
The second phase of the brainwriting exercise focused on commenting and reviewing the submitted proposals is planned to start next Tuesday during the joint AI/ML AWG meeting.
If anyone still intends to submit a proposal in the “brainstorming phase”, please do so as soon as possible. Use the original document template and keep the formatting unchanged. Copy paragraph 0 to the end of the document. Any formatting modifications create additional overhead when consolidating the inputs.
Once your draft is ready, send a private message to @martin and @odylec so everything can be prepared in time for Tuesday. @odylec supports the project as PM and takes care of the brainwriting process. If anything about the formatting is unclear, contact us directly.
Thank you.
Today we will begin the second phase of the brainwriting process. Please provide feedback in the form of comments,
and if you want to add anything to the text, do so only using Suggesting mode.
The commenting phase will run for 14 days.
This is also a reminder that the monthly AI/ML AWG meeting takes place today.
Martin
I noticed the document does not have any comments yet. Were they removed, or is this something from my side?
No comments have been added yet, as far as I can see. There is still time to do so until the end of February.
I have added one comment to verify that comments are visible. Could you please check whether you can see it? It would also help if you could try adding a comment yourself, just to confirm everything works correctly.
Please also verify that there are no permission issues with the document.
Yes, I was able to see the comment. The permissions are also good. I am going to go in and add a comment too.
Please let me know if there is anything else I can do.
The commenting phase did not work very well. Apart from one response, no comments were added to the submitted proposals, so I suggest we move forward in a different way.
I have added a table at the end of the document. Please, if you are the PI of one of the proposals, fill in your name there, since the proposals have been anonymous so far. If you would like to join a proposal and contribute to it, please also add your name to the table.
Please do this by the end of this calendar week.
Thank you.
@martin I have a new method. Am I able to add in ?
OK, please add it.
We already have reference data together with SAA passes labeled using the NASA SRAG methodology here:
https://colab.research.google.com/drive/1W-r58FOB6jp8Cm0wbB_ue6z1sskhJZUg
This means that the individual proposed methods can now be implemented, and each resulting selection can be compared with the spectrum produced by the NASA SRAG approach.
I would also suggest creating a second reference dataset based on manual labeling of SAA passes. For that, we would need a semi-automated annotation tool.
Would anyone be willing to develop such a tool?
Once such a tool exists, we can divide the sample dataset among volunteers and label it manually. We would then have two datasets for testing the models:
one based on the NASA SRAG methodology,
one based on manual labeling by volunteers.
So the current task I would propose is: to create a semi-automated tool for labeling SAA passes.
Hello Mr. Martin,
Sorry for the late response. I am currently working on developing a tool for this task. Just to be more specific, are you looking for a tool that provides the AI response and then can be validated by a human, or are you looking for a tool where the human does the labeling entirely? @martin
Hi Vineeth,
thank you for taking this on!
At this stage, we are looking for a tool where humans do the labeling entirely. The volunteers would use it to annotate a portion of the data, which will then serve as a training dataset. Different models will be trained on this and evaluated separately on a held-out portion of the data.
If anything is unclear, don’t hesitate to reach out.
Thanks again for your time,
Hello! I joined yesterday itself and I might be late for your current work, but I want to contribute but I am unsure what to do right now, if there’s anything I can do, I would really like to get involved based on your previous conversation I assume you are working on a tool i would like to contribute to that task as well if it is feasible
