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- W3136298123 abstract "Using machine learning (ML) techniques in general and deep learning techniques in specific needs a certain amount of data often not available in large quantities in technical domains. The manual inspection of machine tool components and the manual end-of-line check of products are labor-intensive tasks in industrial applications that companies often want to automate. To automate classification processes and develop reliable and robust machine learning-based classification and wear prognostics models, one needs real-world datasets to train and test the models. The dataset is available under this https URL." @default.
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- W3136298123 date "2021-03-24" @default.
- W3136298123 modified "2023-09-27" @default.
- W3136298123 title "Industrial Machine Tool Component Surface Defect Dataset" @default.
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