The Environmental Microorganism Image Dataset Seventh Version (EMDS-7) is a microscopic image data set, including the original Environmental Microorganism images (EMs) and the corresponding object labeling files in ".XML" format file. The EMDS-7 data set consists of 41 types of EMs, which has a total of 2365 images and 13216 labeled objects. The EMDS-7 database mainly focuses on the object detection. In order to prove the effectiveness of EMDS-7, we select the most commonly used deep learning methods (Faster-RCNN, YOLOv3, YOLOv4, SSD and RetinaNet) and evaluation indices for testing and evaluation. EMDS-7 is freely published for non-commercial purpose at: https://figshare.com/articles/dataset/EMDS-7_DataSet/16869571
@article{arxiv.2110.07723,
title = {EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation},
author = {Hechen Yang and Chen Li and Xin Zhao and Bencheng Cai and Jiawei Zhang and Pingli Ma and Peng Zhao and Ao Chen and Tao Jiang and Hongzan Sun and Yueyang Teng and Shouliang Qi and Tao Jiang and Marcin Grzegorzek},
journal= {arXiv preprint arXiv:2110.07723},
year = {2021}
}