Research on Semi-Automatic Generation Technology of Object Detection Datasets

doi:10.15888/j.cnki.csa.007101

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Research on Semi-Automatic Generation Technology of Object Detection Datasets
DOI:
                        10.15888/j.cnki.csa.007101
                    
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Author:
                        SUN Xiao-XuanSUN Xiao-Xuan
Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China;School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
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ZHANG LeiZHANG Lei
Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
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LI JianLI Jian
Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
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Abstract:

Object detection is widely used in the field of computer vision. In different occasions, we need to use different training set to train the model. However, manually generating label is very time consuming. This study proposed a semi-automatic method to generate labels for dataset, then automatically filter them according to the threshold set by image similarity, lastly retain the required images and corresponding labels as the final dataset. Experiments show that the method can both improve the speed and ensure accuracy rate of generating labels for dataset.

Key words:YOLOv3;SSD;difference Hash;semi-auto produce training set

Reference

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Get Citation

孙晓璇,张磊,李健.目标检测数据集半自动生成技术研究.计算机系统应用,2019,28(10):8-14

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History

Received:March 25,2019
Revised:April 18,2019
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Online: October 15,2019
Published: October 15,2019

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