weecology / weecology/DeepForest
More exploration of empty tiles and background reduction.
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 774
- Forks
- 265
- PR merge metrics
- No merged PRs in 30d
Description
Can we do more to document the empty tile training and background reduction. This touches on
https://github.com/weecology/DeepForest/discussions/482
Ideally we would have a very fast, very inexpensive tile screener. Is there a bird anywhere in this tile? Followup bird detector on the individual crops? This is a workflow that many management agencies would want.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading discussion #482 and the issue’s references to empty-tile training and background reduction. No implementation files, tests, or concrete entry point are named, so first clarify whether the deliverable is documentation, a fast tile screener, or a follow-up bird detector. Done is not defined beyond exploring this workflow for management agencies.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100