Image Dataset of Grapevine Varieties for AI-based Cultivar Identification

This dataset comprises multi-spectral images of seven grapevine varieties, captured under field conditions using an autonomous ground vehicle (AGV) equipped with a custom-built imaging rig. The rig integrates three synchronized cameras mounted at varying heights and angles to capture comprehensive visual data from both sunlit and shaded sides of the vine rows. Canon PowerShot SX260 HS (1.80 m) Canon PowerShot S100 (0.35 m) MAPIR Survey3W RGB (1.00 m, horizontal view) All cameras were configured to capture images at intervals of approximately 0.5 to 1 second, ensuring synchronized data acquisition across different spectral bands and perspectives. The primary objective of this dataset is to facilitate the development and evaluation of computer vision and machine learning algorithms for automatic grapevine cultivar identification. Each grapevine variety is represented by hundreds of images, systematically organized by camera type, illumination condition (sunlit/shaded), and acquisition date. To optimize storage efficiency and processing speed, images are provided in JPEG format; RAW files are not included. Canon cameras were controlled using CHDK (Canon Hack Development Kit) and programmed via the HCKY/XXXUAV scripts to enable interval shooting, RAW support, and manual configuration. The MAPIR camera were configured for automatic capture at 0.5–1 second intervals and saved in JPG format. Images were collected from both sides of each vine row to capture sunlit and shaded leaf conditions (referred to as "ILUMINADO/SOMBREADO" or "ESTE/OESTE"). No RAW images are included to reduce dataset size and optimize acquisition speed. The dataset is divided into two image sets (Lot 1 and Lot 2), taken in October 2024. Image Summary by Lot and Variety Lot 1: 6,704 images Lot 2: 6,337 images Total: 13,041 images Breakdown by variety: Prieto Picudo: 2,565 images Albillo Real: 1,445 images Verdejo: 2,004 images Mencía: 1,538 images Garnacha: 1,534 images Albillo Mayor: 1,378 images Tempranillo: 877 images