CotLeaf-2: Cotton Leaf Surface Images dataset 2021-23

This dataset is a collection of 810 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 27 genotypes grown across 2 seasons (2021-2022 and 2022-2023), one site (Australian Cotton Research Institute, -30.21, 149.60, Narrabri, NSW, Australia) and two growth conditions (Field [both years] and Glasshouse [2021-2022]). 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.

Note: if you intend to use this dataset in conjunction with CotLeaf-1, then use the CotLeaf-1 Json file attached to this collection.