VINEYARD PLANTS LABELLED FOR DETECTION (HEALTHY, MILDEW, LOW-IRON)

This dataset consists of 508 images labeled for detecting plant health in vineyards. The images were randomly selected from aerial photographs captured using DJI Mavic drones on different dates between 2023 and 2024, covering various stages of plant growth.

The dataset includes three classes:

• Healthy

• Mildew

• Low-Iron Deficiency

Each image is annotated with bounding boxes and has a resolution of 640 × 640 pixels. The dataset is formatted for YOLOv12 and was manually labeled using Roboflow. It is divided into 356 images for training, 102 images for validation, and 50 images for testing, ensuring a balanced distribution for model development and evaluation.