In the past years, Deep Neural Networks (DNNs) have shown exceptional results across multiple domains, including general image classification tasks, winning Atari games or even detecting skin cancer by lesion classification.
These networks are commonly trained on large datasets, such as ImageNet (millions of images of several classes) or ISIC 2019 (images of skin lesions). Unfortunately, these datasets often contain unwanted artifacts (e.g. copyright tag) that have remained undetected during dataset creation.
Keep reading this article by FHHI at Improving AI models with XAI.