chassis assembly logical anomalies

Citation Author(s):
Qirui
Bai
University of Science and Technology of China
Submitted by:
Bai Qirui
Last updated:
Wed, 04/23/2025 - 08:35
DOI:
10.21227/4bj7-2055
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Abstract 

We also provide a new data set CA on chassis assembly for further research in this field. CA is mainly used to study possible logical anomalies in assembly chassis. It has a total of 364 samples for the training set and 191 samples for the test set. The training set contains only normal samples, and the test set contains 93 normal samples and 91 abnormal samples. The main causes of logical anomalies contains several types of logical anomalies, such as quantity anomalies, location anomalies, size anomalies, matching anomalies and mixed anomalies, which poses additional challenges. Similarly, we also provide detailed annotation for CA including root causes and bounding boxes.

 

Instructions: 

 assembly

  

Dataset Files

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