What are some open research questions in the field of interpretable machine learning for image classification?

Aug 26, 2021 ... Fortunately, with the release of Alteryx Designer 21.3, the new Image Recognition Tool in the Intelligence Suite provides exactly that. This ... Nov 12, 2024 ... Image recognition with traditional machine learning. Machine learning uses algorithms that classify images based on features manually extracted ... Aug 20, 2023 ... I have couple hundred images that were classified by different operators into three different groups (bad, good, and not sure). I would like to know what type ... Apr 4, 2025 ... Hybrid text image classifier. HTIC models—which mix an optimal CNN and VGG16 for image data with ROBERTA and MySQL for text data—achieve ... ... image logging platform that combines image classification and calorie estimation to support dietary management. This thesis consists of four studies ... The VGG Image Classification (VIC) Engine is an open source project developed at the Visual Geometry Group and released under the BSD-2 clause. VIC is a web ... May 30, 2023 ... Image classification is a branch of computer vision that deals with categorizing images using a set of predetermined tags on which an algorithm has been ... Binary classification applies logical comparison to an image and classifies unknown data points into one of two categories. For example, a visual inspection ... Image classification is the problem of assigning a label that best describes the content of unknown images, given a set of training images with known labels ... In general, image classification approaches can be grouped as supervised and unsupervised, or parametric and non‐parametric, or hard and soft (fuzzy) ...