EWIS1: Maize, Sorghum & Weed Dataset

Precision agriculture relies on Site-Specific Weed Management (SSWM) to replace traditional, uniform spraying with data-driven herbicide application and mechanical weeding. As weeds compete with crops for space and nutrients, they remain a primary threat to harvest quality. As a first step, the implementation of SSWM requires high precision in automated detection and classification of weed species. Therefore we publish a manually annotated and expert curated drone image dataset for weed segmentation (crop vs weed) in sorghum and maize fields with different crop growth stages and weather conditions.