A dataset of natural grassland plants for deep learning image recognition in Xinjiang from 2020 to 2021

<p indent="0mm">Desert grassland is a type of natural grassland, with Xinjiang boasting the widest distribution of this ecosystem in China. The plant image dataset collected in this region can be used as the most visually informative resource for experts and scholars to understand the plants in this area, as well as the basis for species identification, plant classification, and scientific research efforts. From 2020 to 2021, we conducted a field survey and image collection of natural grassland plants in Northern Xinjiang, and meticulously sorted and classified the collected plant photos. A total of 2,369 field-shot plant images were obtained, featuring 10 common natural grassland plants like Artemisia frigida and Stipa capillata. This dataset has been rigorously classified and identified by botanists. It can serve as the basic data for developing an intelligent identification system for natural grassland plant images using deep learning methods, and provide technical support for vegetation investigation and research in the region.