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Environmental microorganisms (EMs) are ubiquitous around us and have animportant impact on the survival and development of human society. However, thehigh standards and strict requirements for the preparation of environmentalmicroorganism (EM) data have led to the insufficient of existing relateddatabases, not to mention the databases with GT images. This problem seriouslyaffects the progress of related experiments. Therefore, This study develops theEnvironmental Microorganism Dataset Sixth Version (EMDS-6), which contains 21types of EMs. Each type of EM contains 40 original and 40 GT images, in total1680 EM images. In this study, in order to test the effectiveness of EMDS-6. Wechoose the classic algorithms of image processing methods such as imagedenoising, image segmentation and target detection. The experimental resultshows that EMDS-6 can be used to evaluate the performance of image denoising,image segmentation, image feature extraction, image classification, and objectdetection methods.

EMDS-6: Environmental Microorganism Image Dataset Sixth Version for  Image Denoising, Segmentation, Feature Extraction, Classification and  Detection Methods Evaluation