Engineering Commons^™

Plant Identification In A Combined-Imbalanced Leaf Dataset -- Images, Viraj K. Gajjar, Anand Nambisan, Kurt Louis Kosbar

Research Data

Plant identification has applications in ethnopharmacology and agriculture. Since leaves are one of a distinguishable feature of a plant, they are routinely used for identification. Recent developments in deep learning have made it possible to accurately identify the majority of samples in five publicly available leaf datasets. However, each dataset captures the images in a highly controlled environment. This paper evaluates the performance of EfficientNet models, B1 to B6, and several other convolutional neural network (CNN) architectures when applied to a combination of the LeafSnap, Middle European Woody Plants 2014, Flavia, Swedish, and Folio datasets. To normalize the impact of …