![]() ![]() The outcome of the network is evaluated in terms of the performance and is also equipped with saliency maps, which allow the user to gain in-depth insight into the classifier's operation, including a way of explaining the responses of the deep neural network and making system predictions interpretable by humans. One of the sign-maker companies I work with near Dijon in France, only use RAL colour swatches with designs and builds for their clients. We conducted various experiments to assess the influence of modality, data fusion type, and the impact of data augmentation and pretraining. How to convert the RAL Classic colours to use in Photoshop or Illustrator with Pantone, CMYK and RGB hex code values. ![]() We propose several different neural network architectures that are tested on our novel dataset to address this issue. However, industrial applications require the interpretability of the machine learning system predictions, as the user wants to know the underlying reason for the decision made by the system. In the context of the robotisation of industrial operations related to manipulating deformable linear objects, there is a need for sophisticated machine vision systems, which could classify the wiring harness branches and provide information on where to put them in the assembly process. ![]()
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