weecology / weecology/DeepForest
Explore bioclip for crop model backbone
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- Dominant language
- Python
- Stars
- 774
- Forks
- 265
- PR merge metrics
- No merged PRs in 30d
Description
As part of the larger effort to integrate among different research programs, I think we could use bioclip as the basis for fine-tuning for the cropmodel
https://github.com/Imageomics/bioclip/tree/main
Questions
- Would we need to wrap this repo, or a static version inside deepforest.
- Add open clip dependency, will this be an issue?
- Should be add this as a submodule installation. pip install DeepForest[bioclip]
- How does finetuning this versus a simple resnet perform for airborne imagery?
I started down this road in a toy repo here: https://github.com/weecology/BioClip_FieldGuide/blob/5789a7fc023f7cc755cd1700b7a4b90d6e192f83/bioclip_example/FieldGuide.py#L18
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 with the linked bioclip repository and the toy example in bioclip_example/FieldGuide.py at the referenced revision. Clarify whether DeepForest should wrap bioclip, vendor it, or expose an optional installation, then define a reproducible comparison between bioclip fine-tuning and a ResNet on airborne imagery. Done requires an agreed integration path, dependency decision, and evaluation plan.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100