Neuroscope: An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets
German Research Centre for Artificial Intelligence, 66123 Saarbrucken, Germany
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Author to whom correspondence should be addressed.
Academic Editor: Antonio Fernández-Caballero
Appl. Sci. 2021, 11(5), 2199; https://doi.org/10.3390/app11052199
Received: 29 January 2021
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Revised: 24 February 2021
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Accepted: 26 February 2021
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Published: 3 March 2021
(This article belongs to the Special Issue Explainable Artificial Intelligence (XAI))
Trust in artificial intelligence (AI) predictions is a crucial point for a widespread acceptance of new technologies, especially in sensitive areas like autonomous driving. The need for tools explaining AI for deep learning of images is thus eminent. Our proposed toolbox Neuroscope addresses this demand by offering state-of-the-art visualization algorithms for image classification and newly adapted methods for semantic segmentation of convolutional neural nets (CNNs). With its easy to use graphical user interface (GUI), it provides visualization on all layers of a CNN. Due to its open model-view-controller architecture, networks generated and trained with Keras and PyTorch are processable, with an interface allowing extension to additional frameworks. We demonstrate the explanation abilities provided by Neuroscope using the example of traffic scene analysis.
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Externally hosted supplementary file 1
Link: https://github.com/c3di/neuroscope
Description: Neuroscope is available online at https://github.com/c3di/neuroscope -
Externally hosted supplementary file 2
Link: https://www.nuscenes.org
Description: The nuScape data set can be downloaded at www.nuscenes.org.
MDPI and ACS Style
Schorr, C.; Goodarzi, P.; Chen, F.; Dahmen, T. Neuroscope: An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets. Appl. Sci. 2021, 11, 2199. https://doi.org/10.3390/app11052199
AMA Style
Schorr C, Goodarzi P, Chen F, Dahmen T. Neuroscope: An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets. Applied Sciences. 2021; 11(5):2199. https://doi.org/10.3390/app11052199
Chicago/Turabian StyleSchorr, Christian, Payman Goodarzi, Fei Chen, and Tim Dahmen. 2021. "Neuroscope: An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets" Applied Sciences 11, no. 5: 2199. https://doi.org/10.3390/app11052199
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