SPADE OC2 Mediterranean Barley crop dataset (Route 34) - VITAFields – Visual Intelligence for Targeted Agriculture

This comprehensive dataset contains high-resolution aerial and drone imagery with corresponding annotations for agricultural analysis, specifically focusing on barley at a young growth stage. Provided as a single, complete release, it encompasses raw image captures, camera parameters, and direct annotations, alongside fully processed RGB and 4-band multispectral orthomosaics and annotated orthomosaic image tiles. This unified collection of both raw and processed data is ideal for training computer vision models directly on map-based imagery for field-scale semantic segmentation, weed and crop classification, and precise spatial analysis. Dataset Characteristics Target Crop: BarleyGrowth Stage: Young / Early VegetativeImage Types: RGB and Multispectral (4-Band) Technical Specifications 108 Total RGB Images 5280 x 3956 pixels 432 Total Multispectral Images 2592 x 1944 pixels (Green, Red, Red Edge, and Near-Infrared) 798 Total Orthomosaic Tiles 512 x 512 pixels (RGB and 4-Band Multispectral) 1 RGB Orthomosaic 18338 x 18427 pixels 4-Band Multispectral Orthomosaic 18338 x 18427 pixels (Green, Red, Red Edge, and Near-Infrared) Annotations JSON FIles in LabelMe Format (Polygons) Masks Binary images PNG format Camera Parameters JSON Files in ODM format