ICAR Research Data Repository for Knowledge Management
CotLeaf-X: Cotton Leaf Surface Images dataset with eXpert labels
CSIRO RDS Repository
View Archive Info| Field | Value | |
| Title |
CotLeaf-X: Cotton Leaf Surface Images dataset with eXpert labels
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| Creator |
Vivien Rolland
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| Subject |
Artificial intelligence not elsewhere classified
Crop and pasture improvement (incl. selection and breeding) Computer vision Plant pathology Plant biology not elsewhere classified Image processing Plant physiology Agronomy Plant developmental and reproductive biology Crop and pasture protection (incl. pests, diseases and weeds) |
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| Description |
This dataset is a collection of 5,049 images of cotton leaf surfaces acquired with a hand-held microscope to develop deep learning models for leaf hairiness and assist Cotton breeders in their variety selection efforts. These images were collected from two populations (A: 3,276 images; B: 1,773 images) over the 2021-2022 season in a field located at Australian Cotton Research Institute, -30.21, 149.60, Narrabri, NSW, Australia. Populations and genotypes have been anonymized to protect germplasm Intellectual Property. This dataset is being released together with our HairNet2 paper (Farazi et al 2024). See below for links to related Datasets and Publications. |
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| Publisher |
CSIRO
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| Contributor |
Lucy Egan
Susie Thompson Moshiur Farazi Warren Conaty Shiming Liu Warwick Stiller |
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| Date |
2024-01-25
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| Type |
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| Identifier |
csiro:61039
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