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arXiv · 2110.07723

EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation

Hechen Yang·Chen Li·Xin Zhao·Bencheng Cai·Jiawei Zhang·Pingli Ma·Peng Zhao·Ao Chen·Tao Jiang·Hongzan Sun·Yueyang Teng·Shouliang Qi·Marcin Grzegorzek
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Abstract

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

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Hechen Yang, Chen Li, Xin Zhao, Bencheng Cai, Jiawei Zhang, Pingli Ma, Peng Zhao, Ao Chen, Tao Jiang, Hongzan Sun, Yueyang Teng, Shouliang Qi, Marcin Grzegorzek. 2021-10-11. EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation. https://arxiv.org/abs/2110.07723

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