Public weed and crop datasets cited in Weed-Datasets-Survey-2023 (Lu et al., 2023). Click a dataset to view the link.

2023

• Performance evaluation of deep learning object detectors for weed detection (CottonWeedDet3)

• PhenoBench — Dataset page

• Maize plant dataset for intelligent recognition and weed control (Mendeley Data)

• WE3DS — RGB-D Image Dataset for Semantic Segmentation in Agriculture (Zenodo)

• RumexWeeds — grassland dataset (DTU)

• The CropAndWeed Dataset (WACV 2023)

• YOLOWeeds — benchmark for multi-class weed detection (DOI / Zenodo)

• Agricultural plant hyperspectral imaging dataset (HSI Dataset API)

• SorghumWeedDataset — (Mendeley Data)

• IndianPotatoWeeds (Kaggle)

• Multi-format open-source weed image dataset (Mendeley Data)

2022

• CoFly-WeedDB — UAV image dataset (Zenodo)

• TobSet — Tobacco crop + weed dataset (GitHub)

• Novel assessment — region-based CNNs dataset (Weed-AI)

• Cotton Weed ID (cottonweedid15 — Kaggle)

• Multi-modal & multi-view wheat weed dataset (GitHub / MMDWWF)

• AIWeeds — realistic multi-label weed dataset (GitHub)

2021

• Towards practical object detection for weed spraying — lincolnbeet_dataset (GitHub)

• Large lab + field image crop & weed dataset (TerraByte PlantLabImages — CyVerse)

• AgBotSamples (GitHub)

• Southern Pea / Weed Field Image Dataset (PWFID — GitHub)

2020

• Crop vs. Weed discrimination dataset (Lincoln / LCAS)

2019

• DeepWeeds — Multiclass weed species image dataset

2018

• WeedMap — aerial multispectral weed mapping dataset

2017

• Sugarbeet agricultural robot dataset (IPB Bonn)