weecology / weecology/DeepForest
No background class
Open
Nobody has claimed this yet.
help wanted
Performance
question
- Dominant language
- Python
- Stars
- 774
- Forks
- 265
- PR merge metrics
- No merged PRs in 30d
Description
It is more a question, I would like to understand why the training does not use the background as a class equal to 0.
The documentation of RetinaNet stipulates:
num_classes ([int] – number of output classes of the model (including the background)
It would make class Tree=1.
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
The issue names no repository files or tests. Start by comparing DeepForest's training label convention with RetinaNet's documented class-count behavior, then trace the training and model entry points to identify where the background convention is defined. Done means the rationale is established and the relevant documentation is clarified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100