SDU-Haier-AQD: A Dataset for Appearance Quality Detection

Citation Author(s):
Mingqiang
Zhang
Shandong University
Hua
Gao
Shandong University
Dongfeng
Yuan
Shandong University
Haixia
Zhang
Shandong University
Guangyuan
Sun
Haier Group
Anzhu
Zheng
Shandong University
Yizhou
Wang
Shandong University
Rui
Ma
Shandong University
Dong
Gao
Shandong University
Qiaojian
Han
Shandong University
Submitted by:
Mingqiang Zhang
Last updated:
Tue, 03/23/2021 - 06:00
DOI:
10.21227/wjxh-mx45
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Abstract 

SDU-Haier-AQD (Shandong University-Haier-Appearance Quality Detection) is an image dataset jointly constructed by Shandong University and Haier, which contains a various of air conditioner external unit image collected during actual detection process.The  Appearance Quality Detection (AQD) dataset is consisted of 10449 images, and the samples in the dataset are collected on the actual industrial production line of air conditioner. We selected 11 typical models, marked the typical appearance feature (Brand logo, Connector pipe head and Air outlet net cover), and divided the feature into 16 labels.  

 Acknowledgement

This work is supported by the Major Scientific and Technological Innovation Project of Shandong Province "Application Demonstration of A New Intelligent Manufacturing Control Platform with Cloud-Edge Collaboration Mechanism". The research team of Shandong University cooperated withHaier Jiaozhou Air-conditioner Interconnected Factory build the dataset for appearance quality detection.

If you have any questions or suggestions, do not hesitate to contact the corresponding author: Prof. Dongfeng Yuan, dfyuan@sdu.edu.cn

 

Instructions: 

The images in the dataset are uniformly in jpg format, and the image size is 2464×2056 or 1232×1028.  All the labels are saved as .xml files. It contains the size of the image, the name and location of the different labels.