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

2021-10-11 02:39:33
Hechen Yang, Chen Li, Xin Zhao, Jiawei Zhang, Pingli Ma, Peng Zhao, Ao Chen, Tao Jiang, Hongzan Sunand Marcin Grzegorzek
arXiv_CV
         
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.

Abstract (translated)

URL

https://arxiv.org/abs/2110.07723

PDF

https://arxiv.org/pdf/2110.07723.pdf

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