Potato Late Blight Dataset with Strict 70-15-15 Split for YOLO Object Detection

Published: 3 August 2026| Version 1 | DOI: 10.17632/84h5sg8dbc.1
Contributor:
yassine zarrouk

Description

# Potato Late Blight Object Detection Dataset ## Overview This dataset contains images of potato leaves infected with Late Blight, annotated with bounding boxes in YOLO format. It is strictly partitioned into a 70/15/15 split to prevent data leakage during model evaluation. ## Split Details * Train: [Insert number] images * Validation: [Insert number] images * Test: [Insert number] images ## Annotation Format Annotations are provided in YOLO TXT format: `<class_id> <x_center> <y_center> <width> <height>` Class 0 = Late Blight

Files

Categories

Agricultural Science, Computer Vision

Licence