Environmental and Weather Monitoring Datasets in Cyprus
March 15, 2026Airquality datasets
March 15, 2026The dataset consists of vineyard images collected using the Viewer device operated and owned by Edencore Technologies PC
in the context of the EU funded OpenAgri project (https://horizon-openagri.eu/)
The color images were captured in a vineyard of the Savatiano variety located in Spata, Athens, in July 2025.
Images were captured sequentially along vineyard rows and are organized into three subsets depending on the functionality used: yield estimation, disease detection, and canopy characterization. Each subset contains two subfolders: one containing the images and another containing the annotations in YOLO format.
The annotation folders follow the standard YOLO dataset structure. Each image has a corresponding .txt file with the same filename containing the object annotations. Each line in the annotation file represents one labeled object and includes the class ID, normalized bounding box center coordinates (x, y), and normalized width and height relative to the image dimensions.
Additional configuration files such as obj.names, obj.data, and train.txt define the dataset classes, dataset paths, and the list of training images used for YOLO model training. If an image listed in the training dataset does not have a corresponding annotation entry, this indicates that no target object is present in that image.
The yield estimation subset contains annotated images of Savatiano grape clusters at BBCH 75–79 stage, enabling cluster detection and counting for accurate yield prediction.
The disease detection subset includes annotations of artificial targets representing downy mildew (Peronospora) symptoms placed on grapevine leaves for controlled detection experiments.
These dataset are available for reuse as open-data under the EUPL.
For more details contact:
info(at)greensupplychain.eu
