CampanetaWeeds2

Published September 27, 2025 | Version v2

Dataset Open

The dataset provides pixel-aligned RGB and four-band multispectral imagery acquired in real orchard conditions, enabling cross-spectral weed-detection studies that are scarcely represented in open repositories.
Comprehensive, instance-level annotations for six agronomically relevant weed species support fine-grained object detection and class-imbalance investigation in permanent crops.
The inclusion of three separate flight acquisitions allows researchers to test temporal generalisation, illumination robustness and domain-adaptation strategies.
Accompanying metadata and processing scripts (flight logs, camera parameters, sample notebooks) facilitate reproducibility and rapid experimentation.
Down-stream applications span automated weeding, yield protection and decision-support systems, fostering sustainable orchard management and reducing herbicide usage.

Files

Name	Size	Download all
weeds2.rar md5:355a351e6c6d1796f466bdcd8bc3a1f7	41.9 GB	Download