1.0Uncertainty in Image classificationhttps://mscvprojects.ri.cmu.edu/2023team6Introudction - Uncertainty in Image classificationrich600338<blockquote class="wp-embedded-content" data-secret="avVBYMUg5s"><a href="https://mscvprojects.ri.cmu.edu/2023team6/">Introudction</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://mscvprojects.ri.cmu.edu/2023team6/embed/#?secret=avVBYMUg5s" width="600" height="338" title="“Introudction” — Uncertainty in Image classification" data-secret="avVBYMUg5s" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script>
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Motivation The accurate reflection of model prediction confidence is critical in the trustworthy usage of model artificial intelligence, especially in deep learning systems, often essentially considered black boxes. Thus the evaluation of prediction uncertainty is meant to let the system indicate “I am not sure” when the input data is ambiguous or out of distribution … Continue reading ""https://mscvprojects.ri.cmu.edu/2023team6/wp-content/uploads/sites/77/2022/12/image-2-1024x390.png