RESUMEN
This paper presents a dataset with 5513 images of individual soybean seeds, which encompass five categories: (â ) Intact, (â ¡) Immature, (â ¢) Skin-damaged, (â £) Spotted, and (â ¤) Broken. Furthermore, there are over 1000 images of soybean seeds in each category. Those images of individual soybeans were classified into five categories based on the Standard of Soybean Classification (GB1352-2009) [1]. The soybean images with the seeds in physical touch were captured by an industrial camera. Subsequently, individual soybean images (227×227 pixels) were divided from the soybean images (3072×2048 pixels) using an image-processing algorithm with a segmentation accuracy of over 98%. The dataset can serve to study the classification or quality assessment of soybean seeds.