Multispectral UAV imagery and semantic segmentation data for weed detection in barley and rapeseed

Published: 29 July 2026| Version 1 | DOI: 10.17632/mb4jvxk9dk.1
Contributor:
Patricio Alonso Hernandez Ludeña

Description

This dataset contains 256×256 pixel patches extracted from multispectral UAV orthomosaics acquired over barley (Hordeum vulgare) and rapeseed (Brassica napus) fields in Valdeavero (Madrid, Spain). It includes four subsets: Barley 1‑V1 (training, 726 patches), Barley 1‑V2 (temporal validation, 524 patches), Barley 2‑V2 (spatial validation), and Rapeseed‑V2 (cross‑crop transfer and fine‑tuning, 423 patches). Each patch has 8 spectral bands: R, G, B, NIR, RedEdge, NDVI, NDRE, and VARI. The dataset also includes text files defining the splits used for few‑shot fine‑tuning experiments (5%, 10%, and 15%).Agriculture

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Categories

Computer Science, Environmental Science, Remote Sensing, Agriculture

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