Computer Vision Challenge for Cucumber Growth Stage Classification
Go to CompetitionFood safety and agricultural sustainability benefit from timely management practices that reduce losses and optimize inputs.
Participants must predict the phenological stage of cucumber crops from images under real-world conditions.
| Class | Description |
|---|---|
| plantula | Seedling |
| early_vegetative | Early vegetative |
| vegetative_growth | Growth |
| flowering | Flowering |
| fruit_setting | Fruit setting |
File structure:
submission.zip └── submission.csv
CSV Example:
image_id,stage_pred img_000001.jpg,plantula
Participants can submit a paper describing their system, resources, results, and analysis. Accepted papers will be included in the official NALEF proceedings.
Copyright © 2026 for this paper by its authors. Use permitted under CC BY 4.0. NALEF 2026, Cartagena, Colombia.