Project-AgML/arabica_coffee_leaf_disease_classification
Arabica Coffee Leaf Disease Classification A dataset for disease classification of Arabica Coffee Leaf. The dataset contains 58,549 images across 5 classes: Cerscospora, Healthy, Leaf_rust, Miner, Phoma.Images per class: Cerscospora: 7,681 Healthy: 18,983 Leaf_rust: 8,336 Miner: 16,978 Phoma: 6,571 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{jepkoech2021arabica, title={Arabica coffee leaf… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/arabica_coffee_leaf_disease_classification.
| Author / organization | Project-AgML |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 249 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 29 June 2026 |
| Last updated at source | 7 July 2026 |
Popularity, last 3 days
249 now (-2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
More from Project-AgML
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.