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Data · dataset · 2022

Multi-modal and multi-view image dataset of weeds in wheat field

Listed in Teesside University Research Data Repository

We proposed a Multi-modal and Multi-view Image Dataset of Weeds in Wheat Field (MMDWWF) that can be used for deep learning.

Description

The dataset contains wheat and grass images of two modes and nine views, aiming to provide an open, high-quality and larger-scale weeds dataset to promote the development of weeds detection methods in wheat field.

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Where it is published

Catalogue records · 1

Topics

From keywords
Computer Science & AI · Earth & Environmental Science · Life Sciences
Inferred from text
Image 75%
Provenance · 1 source records, 8 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/7tg28xns3m.110 h agoJSON v1
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concepts[field].local:field:life-sciencesmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[modality].local:modality:imageenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
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