deeplearningunb / deeplearningunb/CoMaTo
Café
- Dominant language
- Jupyter Notebook
- Stars
- 2
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
Description
# Descrição
Como citado em #6, o café é uma cultura bem difundida no Brasil, então poderiamos adicionar essa planta na aplicação.
# Tarefas
- [ ] Adicionar dataset
- [ ] Adicionar rede neural
- [ ] Inserir no app
# Critérios de aceitação
- [ ] Rede neural com uma acuracia de ~90%
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue names no files or tests. Start by locating the dataset, neural-network training code, and app entry point, then determine how existing plant support is organized. Done means adding coffee support across those areas and achieving the stated approximately 90% accuracy criterion.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, machine-learning
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100