QueueLab / QueueLab/QCX

Resolution Search Improvements

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#595 4 comments 0 reactions 0 assignees View on GitHub

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Dominant language
TypeScript
Stars
19
Forks
7
Avg merge
59m
Merged PRs (30d)
16

Description

Can you improve the prompting for the system such that the pointers are contextual to what the system can pin point through its vision capabilities, for example if the user specifies that they are looking for swimming pools then the pointer marks should point to them based on what the system's model vision has observed in context, enable the model to zoom into the image in the background if required for the resolution,
Example, locate solar panels in the satellite view, the system should look around, zoom, reason to identify these in the point of interest.

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No files, tests, or entry points are identified in the issue. Start by tracing the resolution search flow and its vision-prompting and pointer behavior, then verify the satellite-view example by checking whether the system can identify the requested objects, zoom when needed, and place contextual pointers on them.

Written by the indexing model from the issue text.

Assessment

Tech stack
typescript
Domain
ai, frontend, search
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
30/100

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